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. 2021 Mar 2;16(3):e0246576. doi: 10.1371/journal.pone.0246576

Contextualizing the think crisis-think female stereotype in explaining the glass cliff: Gendered traits, gender, and type of crisis

Clara Kulich 1,*, Leire Gartzia 2, Meera Komarraju 3, Cristina Aelenei 4
Editor: I-Ching Lee5
PMCID: PMC7924740  PMID: 33651834

Abstract

The glass cliff suggests that women are more likely to access leadership positions when organizations are facing a crisis. Although this phenomenon is well established, it is still largely unknown how variations in types of crises influence the strength of the think crisis-think female association, and whether female leaders and leaders with communal gendered traits are both affected by this association. We hypothesized that selection of stereotypically feminine traits (communal leaders) is specific to a relational crisis because of a fit between leader traits and traits required by the situation. We further expected that the selection of women also extends to other crisis situations because other factors such as their signaling change potential may play a role. We investigated the associations that participants made with candidates who varied across gendered traits and gender and between two crisis situations involving problems with either stereotypically feminine (e.g., an internal disharmony) or masculine (e.g., a financial problem) components, and a no crisis situation control. Results from three experimental studies (Ns = 319, 384, 385) supported our hypotheses by showing that communal leaders were most strongly associated with a relational crisis and least with a financial crisis, with the no crisis context situated in-between. This pattern was explained by higher relevance ratings for communal leadership behavior in the relational crisis versus financial crisis context, with the no crisis context situated in-between. In contrast, female leaders were most strongly associated with the relational crisis and least with the no crisis context, with the financial crisis situated in-between. Specific explanatory mechanisms related to the female-crisis association are explored and discussed. Our findings suggest that implicit motivations for valuing feminine/communal leadership and atypical leaders in crisis situations need further research.

Introduction

Although more women are attaining managerial roles in organizations, they continue to be underrepresented in top management positions [1]. Explanations for this disparity include the “think manager–think male” paradigm [2], which refers to the perceived incongruity between the characteristics typically ascribed to women and the characteristics typically ascribed to leaders [3]. In recent years, the potential “advantage of female leadership” has been discussed in modern organizations requiring more transformational and relationship focused leadership styles [4, 5]. However, academics have warned that simply associating feminine typed leadership with an increased preference for female leaders, as such, ignores the “importance of contextual contingencies” [6] (p655), see also [7]. More recent analyses of leadership in contexts of crisis do indeed suggest increased leadership opportunities for women in organizations suffering some sort of crisis, such as poor performance or scandals—situations where success is relatively improbable [810], a phenomenon, commonly known as the “glass cliff” [11]. The “glass” metaphor refers to the subtle discriminatory nature of this phenomenon as precarious appointments are more likely for minority groups. Moreover, these subtleties can obscure the reality of discrimination for a specific individual, as the phenomenon only becomes visible by considering several cases in aggregate. The “cliff” metaphor also relates to the fact that precarious positions likely expose occupants to more scrutiny and criticism, and higher levels of stress, in addition to the risk of failure, with serious consequences for their careers [12].

Research on explanations for the glass cliff has elicited interest in the context-dependence of leader ideals, as studies indicate that the male-manager stereotype is less consistent and may deviate from the male prototype in certain crisis contexts, such as poor organizational performance [13]. The purpose of the present research is to extend this field of study by investigating the nuances of different types of crises, their impact on variations in preference for “feminine”, or communal leadership traits in crisis management, and to further test whether these preferences extend to the “female” gender which may be associated with feminine traits through stereotypes. In particular, we investigated the gendered nature of different types of crises involving relational elements (e.g., internal disharmony) versus financial elements (e.g., inappropriate financial decision making), expecting that varied crisis typologies elicit distinct perceptions of which leader characteristics would be effective in a crisis. We experimentally investigated when and why different crisis types were associated with preferences for communal traits versus female gender in leaders.

The glass cliff

Variations in the leadership context have been shown to have an impact on perceptions of the effectiveness of female and male leadership [3] in a meta-analysis [4]. The idea that effective leadership emerges dynamically and that situational factors are critical in understanding leadership effectiveness has been advanced by a variety of leadership theories, for a review see [1418]. Yet, this literature has not provided a comprehensive understanding of the interplay of gendered contextual demands and perceived leadership effectiveness in adverse scenarios [11].

A crisis is generally a difficult situation that threatens relevant organizational goals and typically calls for a quick response. In certain crisis contexts, the survival of an organization is explicitly linked to relational dimensions that define leadership effectiveness in terms of positive interpersonal relationships and group performance [1922]. According to social role theory these communal dimensions are associated with stereotypically feminine roles, and therefore with women, cf. [23, 24]. In other crisis contexts, goal orientation and the ability of leaders to respond to immediate threats in a direct and even authoritarian way are perceived as relevant for the survival of an organization [2527]. These agentic dimensions are associated with stereotypically masculine functions, and therefore men [23, 28]. Thus, based on social role theory the tendency to select women as effective leaders in crisis situations should be influenced by the gendered nature of the crisis [13].

Some investigations of the glass cliff in leadership have narrowed in on the preference of women (as a gender) in certain crisis situations. Other scholars have concentrated on the link between “feminine” or communal traits and crisis contexts. In the following, we will discuss these two lines, gender and gendered traits, separately.

The glass cliff and the preference for women

Consistent with the idea that certain crisis contexts require a relevant number of stereotypically feminine or communal behaviors, a growing number of studies have shown that in these contexts the manager-male association is reduced. This is the case in organizations experiencing difficult conditions where a “think crisis-think female” stereotype has been found to be more applicable [10, 29, 30].

Gender stereotypes

Some of the studies have shown that women have higher chances to be selected as leaders in a crisis situation compared to a non-crisis context, and other studies have shown that women are preferred over men during crises [11]. In these studies experimenters have typically presented similar CVs of male and female candidates, with gender being the only information differing between them. This has led to the proposition that women are more likely to be chosen due to gender stereotypes based on which they are presumed to possess the communal traits deemed useful in a crisis context. Indeed, some evidence suggests that stereotypically feminine attributes such as shared leadership, teamwork, and emotional management can be relevant dimensions of effective leadership in crisis situations that are characterized by a decrease in a company’s profits [19, 20, 31]. In many crisis situations, a leader’s ability to adopt a perspective and to influence team members in order to obtain cooperation and collaboration in achieving common goals is critical in enhancing long-term corporate performance and sustainability [32]. Followers who trust their leaders are also more likely to sustain focus and effort towards achieving organizational goals, particularly when facing extended periods of stress [22]. In contrast, a lack of trust in the integrity of a leader’s decisions can diminish cohesion and commitment even during relatively short crises [33]. Moreover, research on perceptions of leaders in a crisis situation has shown that women who behave in relational ways may be allocated higher trust than male managers, but only if the technical solution to the problem is known [34]. This suggests that women displaying communal behavior may indeed have a leadership advantage over men, but only if a crisis explicitly requires stereotypically feminine leadership competences, but not more stereotypically masculine competences, to solve the crisis. This supports the claim [35] that an acute crisis often calls for autocratic management, and when this point is solved the relational dimension becomes of higher importance.

Following this idea, an experiment [13] (Study 1) investigated whether the male-manager association holds in a crisis situation, and demonstrated that while this link holds in a healthy company context, people associated feminine traits with leadership in a crisis context. Thus, an underlying motivation for the choice of a woman may be that her gender is associated with communal leadership deemed more effective in the given situation. The choice of a woman could thus be in the “best interest” of the ailing company’s functioning, with the chosen woman being expected to effectively change the situation due to her competencies.

Signaling change

Other scholars have investigated the strategic choice of women for their atypicality. The occurrence of a crisis leads to more public attention to the organization concerned and the image repair strategies put in place need to be well designed, as they will impact an organization’s overall reputation [36]. One such strategy may be to deviate from the male leader prototype by choosing a woman, using the gender contrast as a visible sign of change [37]. The motive for female leadership assignments may then be to symbolize change [29, 38]. In support of this hypothesis, an experimental study [37] showed that women were not chosen for their leadership qualifications, but rather were selected as a way of signaling change to clients, investors, and customers.

Overall, the research on preferences for female gendered leaders in times of crisis shows that women may be chosen due to the stereotypical attributions made (i.e., communal traits and behavior) based on their gender, but they may also be chosen for their potential to signal change. The latter case may occur as an isolated explanatory process [37], but perceptions of the special competences of women and their direct impact on a company’s functioning could also act in concert with perceptions that a woman is perceived as a signal of change. For example, recent research has shown that choices of ethnic minority individuals for hard-to-win seats in political races may be associated with both actual change (competence based) and signaling change motivations [39].

The glass cliff and the preference for feminine traits

Research on the glass cliff has also investigated the effects of gendered traits. For instance, experimental research [13] has shown that the perceived suitability of stereotypically masculine versus feminine traits in times of crisis is contingent upon what is explicitly required from the manager. In particular, when a stereotypically feminine management role (e.g., people management), or a non-agentic role (e.g., taking the blame for the crisis) was required, feminine rather than masculine traits were perceived as more desirable, thus suggesting a think crisis-think female phenomenon. To capture these potential differences between selection of women and selection of communal traits in crisis contexts, previous research has called for studies clearly differentiating between two components of gender in line with a “think crisis–think in a stereotypically feminine way association” [30].

This research [13] revealed a key observation that a preference for stereotypically feminine traits did not occur if more agentic tasks, such as being an active spokesperson for the company or performance improvement was required. In fact, crisis contexts that are associated with stereotypically masculine dimensions such as financial, competitive, or technological problems are particularly likely to be linked to centralized, autocratic leadership. For instance, when organizations face extremely critical events, leadership that is directive and transactional is featured as being most effective [26, 35]. Further, there is experimental [40] and field evidence based on stereotypically masculine settings, for example, on an aircraft carrier [27], indicating that leaders who exercise power by being directive and goal-oriented are more effective during extreme events. Leaders who provide rapid and authoritative responses are more likely to be followed in such contexts regardless of the nature of their decisions [41]. Although relationship-oriented leadership behaviors are sometimes implemented in advanced stages of a crisis, in the first phase, authoritarian expressions of leadership typically occur [35]. Followers are also more likely to accept autocratic leadership (stereotypically masculine) in threatening situations that are poorly defined [25]. Research has also shown that stereotypically feminine, communal qualities are perceived as a hindrance to performance in task-oriented managerial activities such as managing a financial transaction, improving manufacturing processes, or increasing profits [42].

The research we have discussed has mostly examined gendered traits in isolation. As exception, one study [30] examined selection of both women and communal traits for a crisis context in scenarios with different leadership referents (agentic vs. communal) and sexism scores. Findings showed that selection of communal female leaders was generally higher in situations with communal referents and low sexism, but explicit variations of crises were not included. To our knowledge only one experimental work has investigated gendered traits simultaneously with information on the gender of candidates themselves. These experiments [43] manipulated both a candidate’s gender and their gendered traits, revealing that agentic (versus communal) leadership traits were preferred when leadership appointments were focused on choosing a person effective and actively engaged in improving company performance. Candidate gender did not systematically affect these choices.

Overall, we can conclude that gender and gendered traits cannot be interchangeably used as they lead to different effects [44]. The organizational context, whether it is a crisis or not, and what type of expectations are held of a new leader, play an important role. Two shortcomings should be considered in relation to prior research. First, gender was not investigated in the studies by [13], thus it is not clear whether it is a think crisis-think “feminine” phenomenon, or whether a leader of female gender is preferred because a woman is assumed to have feminine traits. And second, while previous studies [43] investigated both gendered trait information and the gender of candidates, they did not vary the type of crisis.

Gendered traits, gender, and crisis type

Following the findings outlined in the prior section, a crucial remaining question is whether or not the evidence, that communal traits are preferred in some crisis types and agentic traits in others, can be directly related to the choice of leaders in terms of their gender, and whether or not the mechanisms leading to the choice of a leader due to female gender or due to stereotypically feminine traits differ.

We therefore aimed to extend the research on the think crisis-think female stereotype by investigating how generalizable it is across crisis typologies while measuring preferences for both agentic versus communal and male versus female leaders. In so doing, we also extend theory with regard to glass cliff research. First, we overcome the gap identified in previous think crisis-think female studies which did not address the effects of gendered traits and gender separately [30] by manipulating candidate profiles accordingly. Second, we varied the gendered nature of the problem (relational or financial) and measured their association with preferences for distinct candidate profiles. Finally, in prior research [13] the gender dimension was examined by evaluating reactions to the traits and competences that were presented as a requirement for different crisis situations (i.e., situations that required being able to “manage people and personnel issues”, or “take control of the division and improve performance”; [13] p478). However, such an approach provided explicit information about the required skills in a crisis instead of focusing on people’s own expectations. We avoided this conflation by asking people to infer from a crisis type which traits and behaviors were deemed relevant in order to better understand the mental models underlying different crisis scenarios.

Hypotheses

Leader preferences

Here we outline our reasoning and expectations for the choice of communal and female leaders separately, and then provide a rationale for the expected mechanisms. We argue that when a crisis type explicitly involves communal problems (e.g., disharmony between employees), communal leaders should be preferred, whereas problems of a financial nature should trigger a need for the default agentic leader. The default no crisis managerial condition, however, has largely been shown to trigger think manager-think male associations. Thus, such a “neutral” situation, without additional specifications of the nature of the tasks to be handled, should tend towards the default male or agentic leader, but we expected to a lesser degree compared to a financial crisis, which implicitly demands strong agentic leading. Previous research [43] has also demonstrated that the choice of agentic leaders is stronger in a financial crisis compared to a no crisis situation. We thus predict in Hypothesis 1: A communal (as opposed to agentic) leader will be preferred in a crisis context that contains communal problems (e.g., relational disharmony between employees) over a crisis scenario that contains agentic problems (e.g., financial problems), and a no crisis context will be situated in-between.

The choice of a female leader may be motivated by gender stereotypes which associate communal traits with female gender [13]. Thus, female leaders should be more likely to be chosen in a crisis highlighting relational problems because women are associated with strengths in interpersonal relationships [45]. In contrast, when a crisis type explicitly involves problems typically associated with agentic and male competences (e.g., financial problems), the think crisis-think female stereotype should decrease in strength. However, female gender can also be used to symbolize a change from traditional male leadership in crisis situations [37]. Such a motivation may affect any crisis type. Therefore, the selection of a female leader in a financial crisis should be situated in-between a relational and a no crisis situation. Overall, the highest likelihood for a woman to be chosen should be in a relational crisis, where women are valued because they are stereotyped as having the “communal” competencies required to manage the crisis effectively, and at the same time, respond to other motivational needs, such as signaling change to outside actors. In the financial crisis context, signaling change motivations would remain, provoking a female choice, but the added importance of “communal” leadership traits would be diminished, as communal traits are less valued in the financial crisis context. Finally, the no crisis context should show the lowest likelihood for a woman to emerge as a leader, following the think manager-think male principle. In Hypothesis 2, which concerns gender, we thus also predicted a progressive pattern, however of a different shape than for gendered traits: A female leader (as opposed to a male) will be preferred in a crisis context that contains communal problems compared to a no crisis condition, and a crisis scenario that contains agentic problems will be situated in-between.

Mechanism

So far, we have argued that relational crisis contexts may elicit communal and female leadership preferences because communal behavior and traits may be seen as valued competences in such a context. We anticipate that the relevance attributed to relational qualities will be higher in a crisis with communal problems than in a no-crisis situation, or when compared to a crisis showing financial problems, which leads to Hypothesis 3: Participants will ascribe higher relevance to communal leadership (i.e., behavior and traits) in a relational crisis scenario compared to a financial crisis, with the no-crisis context situated in-between. We expect this outcome to account for the progressive preference effect of communal candidates predicted in H1.

We did not make inverse predictions for agency, as the backlash literature on agentic female candidates shows that even if agency is considered relevant, higher relevance of agency does not necessarily lead to the choice of agentic women [46]. In the context of glass cliff choices, we argue that the presence of communion-related attributions is likely to be decisive for the preference of communal leaders, rather than the absence of agentic ones.

We did not predict a mediational pattern for the choice of women, as this choice may also depend on a number of other factors, such as a woman’s perceived “atypicality” in a managerial role, roles which are generally male-dominated [9, 37].

The present studies

In order to test our hypotheses, we created crisis situations that clearly invoked either stereotypically masculine (a competitive market environment combined with inappropriate financial decisions) or stereotypically feminine elements (internal disharmony which seriously damaged employees’ relations and motivations). As the glass cliff is defined as the choice of female leaders in a crisis as compared to a no-crisis condition, cf. [47], we added a control condition in which no crisis was presented. The following three studies examined two gendered crisis types (relational versus financial) in comparison to a no crisis context. Studies 1 and 2 were structured as a 3 (Crisis Type: relational, financial, no crisis) between-participants design measuring participant choice between four candidates who varied across gendered traits (agentic versus communal) and gender (male versus female). Study 3 consisted of a replication of the results of Studies 1 and 2 with an inverted experimental design by presenting a 4 (Candidate: agentic male, agentic female, communal male, communal female) between-participants design measuring the participant choice between the three organizational contexts (relational versus financial versus no crisis).

Organizational role

Reasoning for our hypotheses is based on the assumption that decision makers in our studies take the perspective of the organization and want to make decisions that help it succeed. People, however, hold different schemas about responsibilities and relational dependencies depending on the position or role they occupy within an organization, see [48]. This is likely the case for managers or others who are explicitly asked to meet organizational goals. A leader’s responsibilities are often associated with organizational systems and policies, which place them in the position of having to more closely align their actions to the decisions and guidelines established by the organization [49, 50]. In contrast, followers are typically the beneficiaries, or alternatively, the victims of a leader’s actions [51]. Along these lines, one should expect that an individual’s organizational position (being in the role of a leader versus an employee) would have an effect on their mental representations of what effective leadership should look like in a crisis situation. Leader-primed decision-makers should more strongly emphasize strategic oriented leadership and be more sensitive to the organizational needs of the specific situation (e.g., crisis or no crisis). In an effort to find the optimal solution for a given context, leaders might more strongly engage in the motivations described above. In contrast, employee-primed decision-makers should be more sensitive to their own needs and thus seek a relationship focused leader regardless of the context. As the recruitment for leadership positions is usually done by decision makers with managing functions in companies, rather than employees, the angle of the decision maker perspective is more likely to be source of glass cliffs decisions. Moreover, the potential motivations for glass cliff decisions discussed here also take the perspective of those in charge of hiring. Thus, in the present research we asked participants to focus primarily on this role.

In most glass cliff studies, participants are in fact placed in the position of imagining their role as a manager or recruiter making decisions about a new CEO appointment, an approach we followed in Studies 2 and 3, which included samples of workers, by asking them explicitly to think about organizational goals in their decision making. By contrast, Study 1 used a student sample. As student jobs do not offer the full perspective of organizational dynamics, and they are unlikely to occupy leadership positions, we manipulated in this first study the type of perspective they were to take: as an employee or as a leader, expecting that the effects in Hypotheses 1 and 2 would more likely, or more strongly, occur for participants in the role of a leader than in the role of an employee.

Data transparency

The data that support our findings for all studies are openly available in OSF at https://osf.io/b3u5k/?view_only=1be338fdb1534ca48f121f95b3fa9679. All manipulations, and all exclusions of the three reported studies are reported in the manuscript. All measures are mentioned in the manuscript and described in detail in the S1 File. We performed data analysis with the sample sizes provided herein. No additional data were sought for any of the studies after initial data-analysis. Participants in all studies were randomly assigned to experimental conditions.

Study 1

The major aim of this study was to test Hypotheses 1, 2, and 3, and to explore the impact of the organizational role (employee versus leader) adopted by participants.

Method

Study 1 was conducted in Spain where no ethic approval was demanded by the university. Study design and procedure, however, followed standard ethic guidelines for research on humans. Participants gave informed consent at the beginning of the study by clicking on a button.

Participants

Participants were 319 business administration students (53.4% men) in Spain who participated in the study in exchange for course credit. We excluded from the original sample (N = 324) participants who had not made a candidate choice (n = 3), and who did not indicate their gender (n = 2). Participants reported their age (M = 19.87, SD = 1.52) and previous work experience whereby 64.9% of the participants indicated they had at least one year of previous work experience outside the university (M = 11.82 months, SD = 14.16).

We conducted effect-size sensitivity analyses for the effects of crisis type (the C1 contrasts) in a logistic regression on preferences for candidate gendered traits and preferences for candidate gender, using G*Power 3 [52]. With the Study 1 sample size (N = 319), α = .05, and 80% desired power, the minimum effect size that we could detect is an Odd Ratio = 1.89 (based on a probability under H0, p1 = 0.5).

Procedure

After consenting to participate, we asked participants to think about their professional future in an organization following a possible selves procedure [53, 54]. Participants envisioned themselves as making a decision about the most appropriate candidate for a fictitious organization. The description of the organization (see Appendix A1a and A1b Table in S1 Appendix) incorporated a contextual variation of a dramatic decrease in the company’s profits, with the origin of this crisis either described as financial (“the company lost out to the competition” and “the financial forecasts have not been adequate”), or as relational (“harmony problem had seriously damaged the motivation of employees and created a negative atmosphere”). In addition, a no-crisis control condition was presented where no information about the company’s performance was given. To capture the potential effects of a participant’s role expectations in the organization, we included an additional condition that manipulated expectations about their specific role in the organization. In the leader role scenario, we asked participants to imagine themselves holding a position of responsibility in the company. In the employee role condition, participants were asked to imagine themselves working for the company. This resulted in a 3 (Crisis Type: relational crisis, financial crisis, no crisis) × 2 (Organizational Role: leader versus employee) between-participants design.

After reading the organizational scenario, participants were asked to evaluate the relevance of communion and agency (leadership behaviors and traits) for the position, and then to evaluate a list of five job candidates (leader suitability) and to select the most suitable candidate to ensure appropriate organizational functioning in the company.

Candidate profiles

Following previous research on the glass cliff [9, 30], the description of the candidates consisted of a brief CV with a short biographical sketch of the candidates. Candidate gender was manipulated by using typically male or female first names taken from research using Spanish names [30]. Gender traits were manipulated in a similar manner to the approach taken by [43]. One male and one female candidate were described with agentic traits (e.g., self-confident, independent, decisive), and one of each gender was described with communal traits (e.g., other-oriented, considerate, kind). To avoid overlap between words, traits were described with different adjectives that have a similar meaning and derived from previous studies [55]. Exact profiles can be found in Appendix A2 Table in S1 Appendix.

To make the manipulation less obvious [9] and consistent with the prevalence of male and stereotypically masculine leaders in organizations [28], we provided a more realistic list of candidates (more men than women) by including an additional male candidate. He was described with extreme, unmitigated agentic traits that included negative content (e.g., authoritarian, tough, competitive; see [56]), aiming to disqualify him by this unsympathetic description.

Measures

Response scales ranged from 1 Not at all relevant to 6 Extremely relevant. Additional measures and explorative analyses for these can be found in the S1 File (i.e., leader suitability, relevance ratings of agentic behavior and agentic traits and filler items, characteristics of selected candidate).

Communal leadership attributes. Models in the leadership literature consider both leadership traits and behaviors [17]. Traits are generally considered personality elements that are inherited or acquired through socialization and are often connected to gendered traits of identity that are viewed as more stable across different situations, traits such as being sensitive, empathetic, or kind. In contrast, behaviors or styles of leadership (e.g., transformational-transactional) are considered to be learned, assuming that one can be trained to flexibly use them across different situations (for a review comparing leadership effects across these dimensions see [57]). Because stereotypes concern expectations for how people are (or should be) and how they behave (or should) [58], we measured both traits and behaviors in an effort to capture a global picture of communal and agentic aspects of leadership. We present here only the communal dimension which concerns our H3. The agentic dimension can be found in the S2 Table in the S1 File.

Participants indicated the extent to which a set of leadership behaviors taken from the Competing Values Management Practices Survey [59] was relevant for the candidate in the manipulated scenario [56]. We used four people-related items from the “mentor” dimension which can be generally subsumed under the communion dimension (Listen to the personal problems of subordinates; Show empathy and concern in dealing with subordinates; Treat each individual in a sensitive, caring way; Show concern for the needs of subordinates, α = .83; M = 4.75, SD = 0.86).

Participants further indicated the extent to which a set of eight communal traits taken from the Personal Attributes Questionnaire (PAQ) [60] were relevant for the candidate in the manipulated scenario (e.g., being devoted to others, emotional, attentive, understanding, kind, helpful, warm, aware of others’ feelings, α = .86; M = 4.54, SD = 0.74).

Results

Preparatory analyses

We first looked at general preferences for the five candidates. As expected, the extreme agentic candidate was chosen least (7.2% versus 31.7% agentic male, 22.6% agentic female, 22.6% communal female, and 16.3% communal male).

For the analyses reported below, we controlled whether a participant’s gender affected the results. We added it as a main effect and in all interactions. The main effects of crisis type reported below remained. Additional effects which included participant gender occurred only for the leadership behavior and traits analyses which we report in the S1 File.

Preferences for a candidate’s gendered traits

We conducted a logistic regression on the choice of candidates as a function of gendered traits (0 = agentic candidates, 1 = communal candidates). Following our prediction in H1, we entered two orthogonal contrasts for crisis type (Contrast 1: 1 = relational crisis, 0 = no crisis, -1 = financial crisis; Contrast 2: 1 = relational and financial crises, -2 = no crisis), and organizational role (-1 = leader; 1 = employee) as well as their interactions. The C1 contrast tests the difference between relational crisis versus financial crisis. The C2 contrast verifies whether the no crisis condition is situated in-between by testing the comparison between the no crisis versus relational and financial crises taken together. To support our hypothesis, contrast C1 should be significant, but not C2. Consistent with our main hypothesis H1, the C1 contrast showed that overall participants were more likely to select communal leaders in the relational crisis (50.00%) than in the financial crisis (27.20%), B = 0.49, χ2 (1, N = 319) = 12.15, p = .001, eB = 1.64, 95% CI [1.24, 2.16] (Table 1, eB represents the odds ratio), with the no crisis context (38.50%) situated in-between (i.e., contrast C2 had no effect, B = 0.02, χ2 (1, N = 319) = 0.03, p = .861, eB = 1.02, 95% CI [0.85, 1.21]). Overall, agentic candidates were chosen more than communal candidates, B = -0.51, χ2 (1, N = 319) = 17.91, p < .001, eB = 0.60. No further main or interaction effects occurred (ps > .118).

Table 1. Choice of a communal versus agentic and female versus male candidates as a function of type of crisis (Study 1, Spain).
Choice of candidates % (n)
Relational crisis Financial crisis No crisis Total
Communal candidates 50.0 (57) 27.2 (31) 38.5 (35) 38.6 (123)
Agentic candidates 50.0 (57) 72.8 (83) 61.5 (56) 61.4 (196)
Total 100.0 (114) 100.0 (114) 100.0 (91) 100.0 (319)
Female candidates 51.8 (59) 43.9 (50) 37.4 (34) 44.8 (143)
Male candidates 48.2 (55) 56.1 (64) 62.6 (57) 55.2 (176)
Total 100.0 (114) 100.0 (114) 100.0 (91) 100.0 (319)

Preferences for candidate gender

We conducted a logistic regression on the choice of candidate gender (0 = male candidates, 1 = female candidates). Following our prediction in H2 where choices would be most frequent in the relational crisis, and least frequent in the control condition, with the financial crisis situated in-between, we entered two orthogonal contrasts for crisis type (Contrast 1: 1 = relational crisis, 0 = financial crisis, -1 = no crisis; Contrast 2: 1 = relational crisis and no crisis, -2 = financial crisis), and organizational role (-1 = leader, 1 = employee) as well as their interactions. The effect of crisis type C1 that was expected in H2, B = 0.31, χ2 (1, N = 319) = 4.52, p = .034, eB = 1.36, 95% CI [1.02, 1.81], demonstrated that overall participants were more likely to select women when exposed to the relational crisis (51.8%) than when exposed to the no-crisis condition (37.4%), whereas the financial crisis (43.9%) was situated in-between (i.e., the residual contrast C2 was not significant, B = -0.001, χ2 (1, N = 319) < 0.001, p = .995, eB = 1.00, 95% CI [0.86, 1.17]. Table 1 summarizes these results. Overall, male candidates were chosen more than female candidates, B = -0.24, χ2 (1, N = 319) = 4.26, p = .039, eB = 0.79. No further main or interaction effects occurred (ps > .316).

Perceived relevance of leadership attributes

For the test of H3, we were interested in the importance of relevance ratings for communal leadership for choices in terms of candidate’s gendered traits (communal versus agentic). In a first step, we present two separate ANOVAs for relevance ratings for communal behavior and communal traits as dependent variables. The C1 contrast of crisis type (1 = relational crisis, 0 = no crisis, -1 = financial crisis), the C2 residual contrast (1 = relational crisis and financial crisis, -2 = no crisis), and organizational role (-1 = leader, 1 = employee) were entered as independent variables, as well as interactions between the contrasts and organizational role.

For communal leadership behavior, the C1 contrast was significant, F (1, 313) = 7.87, p = .005, ηp2 = .03, showing that communal behavior was evaluated as more relevant in the relational crisis (M = 4.87, SE = 0.08) than in the financial crisis (M = 4.56, SE = 0.08), with the no crisis context (M = 4.85, SE = 0.09) situated in-between (C2 was not significant, F (1, 313) = 1.54, p = .215, ηp2 = .005). Organizational role also had an effect, F (1, 313) = 7.87, p = .005, ηp2 = .03, in the sense that participants in the leader role (M = 4.66, SE = 0.07) judged communal traits as less important than those in the employee role (M = 4.86, SE = 0.07). Interactions with role were not significant (p > .313).

For communal leadership traits, only the contrast C2 was significant, F (1,313) = 4.30, p = .039, ηp2 = .01 (C1: F (1,313) = 0.30, p = .588, ηp2 = .001), indicating that communal traits were perceived as more important in a no crisis context (M = 4.68, SE = 0. 08) when compared to the two crisis situations combined (relational: M = 4.46, SE = 0.07; financial: M = 4.51, SE = 0.07). No other effects occurred (ps > .140).

Mediational analyses

In order to fully test whether higher ratings of the relevance for communal behavior could explain the preferential choice of the communal leader in the relational crisis, as compared to the no crisis, and the financial crisis conditions (Hypothesis 3), we conducted a mediation model 4 using Hayes’ [61] PROCESS macro with 10,000 biased bootstrap samples. PROCESS can estimate models with a binary outcome. The dependent measure was candidate gendered traits (0 = agentic, 1 = communal). The C1 contrast of crisis type (1 = relational crisis, 0 = no crisis, -1 = financial crisis) was entered as the independent variable, while controlling for C2 (1 = relational and financial crisis, -2 = no crisis), organizational role, and their interactions. Only communal leadership behavior was entered as mediator (see Fig 1), as the ANOVAs presented above revealed that the non-significant path ‘a’ for communal traits disqualified it as potential mediator.

Fig 1. Indirect effect of crisis type (contrast C1), mediated by communal leadership behavior, on the preference for communal (as opposed to agentic) candidates (Study 1, Spain).

Fig 1

Process Model 4 of Hayes (2018, [62]). Numbers indicate unstandardized coefficients. * p < .05, ** p < .01, *** p < .001.

For communal leadership behavior, path ‘a’ showed a positive incremental effect of financial crisis—no crisis—relational crisis (C1) on communal behavior, B = 0.16, SE = 0.06, p = .005, 95% CI [0.05, 0.27]. Path ‘b’ showed that the more communal behavior was rated as relevant, the more likely a communal candidate would be to be chosen, B = 0.58, SE = 0.15, p < .001, 95% CI [0.28, 0.88]. The direct effect of C1 on candidate selection was significant, path ‘c’: B = 0.44, SE = 0.15, p = .003, 95% CI [0.15, 0.72]. As we expected, communal behavior mediated the effect of crisis type C1 on the selection of communal candidates, B = 0.09, SE = 0.04, 95% CI [0.02, 0.20].

Thus, H3 was supported for communal leadership behavior, but not for communal leadership traits. We are confident that causality of this mediational model can be assumed for two reasons. First, the evaluation of the situation in terms of the relevance of communality (the mediator) was measured after reading about the organizational context (manipulated), but before the selection of the candidate (outcome). Second, the organizational context reported a problem, and the mediator measured a participant’s perception of what kind of leadership behavior would be relevant to a leader whose mission it was to handle the problem. Following this evaluation participants were presented a list of candidates from which they could choose. The choice of the candidate according to their characteristics was likely aligned with the type of leadership behavior that was considered most relevant in the given context. Testing the reverse, the impact of candidate choice on the behaviors deemed relevant has no theoretical validity.

Discussion

In support of the first hypothesis, communal leaders were preferred most in a relational, and least in a financial crisis situation, with the no crises scenario situated in between. These findings replicate and extend prior research [43], which demonstrated the leadership advantage of agentic (versus communal) candidates in a financial crisis versus a no crisis context, by showing that leaders with communal traits are most preferred when an organizational crisis is described as resulting from relational problems, thus requiring relational leadership. Moreover, consistent with our second hypothesis, women were selected most often in a relational, then in a financial, and least in a no-crisis context. This suggests that a candidate’s female gender is linked to various kinds of crisis contexts, whereas a candidate’s communal gendered traits are not, instead clearly linking to the relational–and not the financial—crisis. In this way, although preferences for the communal and female candidates were similar for the relational (50.0% versus 51.8%) and no crisis (38.5% versus 37.4%) contexts, communal candidates were clearly less favored in the financial context (27.2%), whereas the choices of female candidates (43.9%) in the financial context were more frequent and situated in-between the relational crisis and no crisis contexts. Regarding our exploratory analysis of organizational role, no effect on the preference variables was shown but we cannot conclude that this variable does not have an impact, as our study did not have the power to test this effect decisively.

Alternative mechanisms are likely at play with regard to gendered characteristics versus gender as a category. In fact, and in line with H3, a leader’s communal behavior was perceived as more relevant in a relational crisis (than in a no crisis or financial crisis), and this explained the stronger preference of communal leaders in the relational context. This suggests that participants focused on a communal leader’s match with behavioral expectations for a leader as a remedy for a relational crisis. Unexpectedly, the type of crisis did not significantly affect the ratings of relevance for communal traits. Thus, H3 was not supported for the trait dimension. The reasons for this inconclusive result could be a lack of power. However, a theoretical explanation may be that a relational crisis could be solved by anyone who uses the right style of leadership, i.e., communal behavior. Learned communal behaviors may be perceived by participants as more flexible, capable of being exhibited by anyone, be they female or male when it is relevant, as in a relational crisis. In contrast, communal leadership traits may be attributed by participants to internal characteristics and considered as more stable, and therefore potentially more strongly associated to women than men, with a chosen leader less agile to adapt to changing situations.

Conversely, the selection of female candidates in a relational crisis context, was neither explained by ratings of the relevance of leadership behavior (see S1 File). Previous research has shown that crisis contexts more generally favor females as leadership choice as a means to signal change [37], whereas preferences for gendered leadership traits are more closely linked to a leader’s actual qualifications and capabilities [43]. Such divergent results suggest that candidate gender and gendered trait dimensions have related but not interchangeable effects on candidate selection procedures. Our present research suggests that participants focused on a candidate’s match with behavioral expectations (communal behavior) as a remedy for a relational crisis. Thus, communal behavior may be judged to be a learned “competence” to actually change the situation. Yet, communal leadership expectations may be only weakly or partially related to the choice of a female candidate. Female gender may instead be considered a visible sign of the implementation of a change, aiming to repair an organization’s image in a crisis, independent of the gendered role demands based on crisis type.

Study 2

The main aim of this study was to replicate and extend the findings of Study 1 with a larger sample size based on a priori power analysis. Moreover, to increase power, we used a simpler design by fixing the participant organizational role to that of a leader (therefore not manipulating organizational role), and we provided only a list of four candidates to choose from (the fifth extreme agentic male candidate was not included). In addition, we used a more context relevant sample, workers. Finally, we added explorative measures for the evaluation of a candidate’s signaling potential, as this mechanism was not explored in Study 1, and may help to better understand the effects of candidate gender.

Method

Ethic approval was obtained from the first author’s faculty ethic comity for Study 2 (Faculty of Psychology and Educational Science of the University of Geneva, N° PSE.20190305.06). Participants gave written informed consent by clicking on one of two possible answers (Yes or No) at the beginning of the study just after reading general information about study content and data management, and again at the end of the questionnaire after having been fully debriefed about the experimental manipulations and aims of the study.

Participants

We aimed to recruit a sample size that would allow us to have 80% power to capture a minimum effect size of an Odd Ratio = 1.80 (with a probability under H0, p1 = .50). We specified a small effect size (Odd Ratio = 1.80) based on the published results in glass cliff literature employing similar experimental protocols [37, 43], and as suggested by results obtained in Study 1 for the main effects of the experimental condition. A G*Power 3 analysis [52] indicated that we needed approximately 375 participants. We requested 450 participants on MTurk. The final sample was N = 384 MTurk workers after exclusion of 60 participants from the original sample (N = 444 complete responses). A sensitivity analysis showed that with N = 384, α = .05, and 80% desired power, the minimum detectable effect size was an Odd Ratio = 1.78 (based on a probability under H0, p1 = 0.5). Exclusion criteria were the following: Participants who did not give informed consent after the debriefing at the end of the experiment (n = 9), who did not pass the attention check (n = 21), who had missing data for measures used in the analyses (n = 1), who indicated a gender other than male or female (n = 4), who indicated they were an MTurk worker as a profession (n = 1), who were not English native speakers (n = 16), and the second trial of those who participated twice due to technical error (MTurk Worker IDs occurring twice, n = 10).

Participants included 52.9% women and reflected the ethnic composition of the USA (55.5% White, 25.5% Hispanic/Latino, 10.2% African American, 8.9% Asian American, 1.8% Native American). Participants were on average M = 38.07 years old (SD = 11.81; minimum 18, maximum 75 years). Participants had on average M = 6.36 years of work-experience with their current employer (SD = 5.77, minimum 1 year, maximum 44 years) and M = 14.26 years of work-experience overall (SD = 10.82, minimum 1 year, maximum 51 years); 88% were employed (8% self-employed and the rest unemployed, in education, or retired); 84.4% worked full-time, and 42.7% held a management position.

Procedure

This study had a 3 (Crisis Type: relational crisis, financial crisis, no crisis) between-participant design with choice of candidate (male agentic, female agentic, male communal, female communal) as an outcome variable.

After consenting to participate, participants read a fictitious article about a company, “Jefferson”, that is seeking a new CEO (inspired by [37, 43], see Appendix A1 Fig in S1 Appendix). Company performance was presented as either poor or as strong (hereafter between brackets). Poor performance was presented for the two crisis conditions and strong performance for the no crisis condition. The article was entitled “Going down … - Jefferson’s disastrous performance” (versus “From Strength to Strength–Jefferson’s outstanding performance”) and the text read “… it has experienced a steady drop (rise) in its performance”, and that “Profits, sales, and orders have dropped (risen). Experts hold bad (strong) management responsible for this drop (rise).” This information was accompanied by a graph showing a drop (increase) in sales. In the two poor company performance conditions, another paragraph was displayed describing the type of crisis. Participants either read about a relational crisis (“this crisis was mainly relational due to inappropriate people management. Poor handling of internal disharmony in a competitive market environment had seriously damaged employees’ relations and motivations.”) or a financial crisis (“this crisis was mainly financial due to inappropriate financial management. Poor financial choices in a competitive market environment had seriously damaged the company’s marketplace position.”).

After reading the organizational scenario, participants answered manipulation check questions and evaluated the importance of leadership behaviors and traits for the future CEO of this company. Then participants were asked to evaluate a list of job candidates (see Appendix A3 Table in S1 Appendix) and to select the most suitable candidate to ensure appropriate organizational functioning of the company: “The company has made a preselection of candidates for this high-profile position. Below you will find descriptions of four qualified candidates. These descriptions are the result of interviews and psychological tests. Please carefully read each description. You will then be asked to evaluate these candidates and choose the one who is best suited to ensure appropriate functioning of the company.” Participants were thus asked to take the perspective of the company and make the best decision for this company. For each candidate, participants were then asked to evaluate whether they would be a suitable leader and choose one from a list of four job candidates who differed by gender (male versus female) and in terms of gendered traits (agentic versus communal), using the same brief CVs as in Study 1. Candidate gender was manipulated with typically male or female first names taken from research using English names [43]. The combination of the two trait descriptions with the two genders of the candidates was counterbalanced so that each trait description (agentic versus communal) appeared with the female and the male candidates for half of the participants. Finally, in Study 2, participants had to rate their selected candidate according to their potential to signal or effect actual change [37, 43].

Measures

In the following section, all measures are described in chronology of appearance. Response scales for leadership behaviors and traits ranged from 1 (Not at all important) to 7 (Very important), for other items from 1 (Strongly disagree) to 7 (Strongly agree). Additional measures are presented in the S1 File (leader suitability, relevance of agentic behavior and traits, actual change).

Manipulation checks. After reading the scenarios, participants were asked to respond on a 7-point scale whether “The performance of this company is …” 1 = good to 7 = bad. Two items also checked whether participants correctly retained the task of the new CEO in the relational versus financial crisis situations: “The main aim of hiring a new CEO is to find the right person who knows how to improve the financial performance of the company” and “The main aim of hiring a new CEO is to find the right person who knows how to improve the relations between employees in the company”.

Communal leadership attributes. The same scales as is Study 1 were presented: the Competing Values Management Practices Survey [59] measured four communal behaviors (α = .90; M = 5.17, SD = 1.37) and the PAQ scale [60] measured eight communal traits (α = .90; M = 5.23, SD = 1.04).

Signaling change. After candidate selection, several items measuring change potential were presented (see all items in the S5 Table in S1 File). Four items measured the degree to which the appointment was made to signal change (α = .90; M = 5.60, SD = 1.23; “The fact of appointing this candidate will show that the company wants to change the type of management. The choice of this candidate symbolizes a visible change for partners and competitors.” from [37]; and “The choice of this candidate signals to investors that Jefferson is willing to substantially change things. Choosing this candidate as CEO for Jefferson symbolizes the start of a new era.” from [43]).

Results

Preliminary analyses

For the three manipulation check items, we performed three ANOVAs with crisis type (relational versus financial versus no crisis) as between-subject factor. The ANOVAs yielded significant variations between crisis types (performance check: F (2,381) = 466.22, p < .001, ηp2 = .71; relational check: F (2,381) = 47.74, p < .001, ηp2 = .20; financial check: F (2,381) = 3.06, p = .048, ηp2 = .02). Post-hoc tests with Bonferroni correction showed that performance was perceived as better in the no crisis (M = 1.92; SD = 1.38) compared to both the relational (M = 6.24, SD = 1.09, p < .001, 95% CI [-4.71, -3.94]) and the financial crisis conditions (M = 6.03, SD = 1.32, p < .001, 95% CI [-4.50, -3.73]), that the task of the new CEO was more strongly expected to improve relations in the relational crisis (M = 6.03; SD = 1.34) than in both the financial (M = 4.06, SD = 1.90, p < .001, 95% CI [1.47, 2.44]) and the no crisis conditions (M = 4.85, SD = 1.60, p < .001, 95% CI [0.69, 1.67]), and that the new CEO was more strongly expected to improve the financial performance in the financial crisis (M = 5.80; SD = 1.66) than in the relational condition (M = 5.31, SD = 1.72, p = .050, 95% CI [0.000, 0.96]), but not compared to the no crisis condition (M = 5.46; SD = 1.42, p = .276, 95% CI [-0.15, 0.83]). Our manipulations were therefore successful, with the addendum that participants assumed that a CEO should improve financial performance whether the company was in a financial crisis or not.

Participant gender had no significant main or interaction effect on any of the analyses presented below, we thus report analyses without participant gender.

We first looked at general preferences for the four candidates. The agentic female candidate was chosen by 38%, the agentic male by 25.8%, the communal female by 20.1% and the communal male by 16.1%.

Preferences for candidate gendered traits

H1 predicted that the preference for communal leaders in crisis situations over non-crisis contexts would only occur in a relational crisis scenario. We conducted a logistic regression on candidate gendered traits (0 = choice of an agentic candidate, 1 = communal candidate). Following our prediction, we entered two orthogonal contrasts for crisis type (Contrast 1: 1 = relational crisis, 0 = no crisis, -1 = financial crisis; residual Contrast 2: 1 = relational and financial crises, -2 = no crisis). In support of H1, a C1 crisis type effect showed that overall participants were more likely to select communal leaders when exposed to the relational crisis (55.3%) than to the financial crisis (20.9%) conditions, B = 0.77, χ2 (1, N = 384) = 30.69, p < .001, eB = 2.16, 95% CI [1.65, 2.84], with the no crisis (31.7%) situated in-between as the residual C2 effect was not significant, B = 0.07, χ2 (1, N = 384) = 0.77, p = .381, eB = 1.07, 95% CI [0.92, 1.25] (Table 2). Overall, the agentic candidates (63.8%) were more likely to be selected than communal candidates (36.2%), B = -0.63, χ2 (1, N = 384) = 30.84, p < .001, eB = 0.53.

Table 2. Choice of a communal versus agentic and female versus male CEO as a function of type of crisis (Study 2, United States of America).
Choice of candidates % (n)
Relational crisis Financial crisis No crisis Total
Communal candidates 55.3 (73) 20.9 (27) 31.7 (39) 36.2 (139)
Agentic candidates 44.7 (59) 79.1 (102) 68.3 (84) 63.8 (245)
Total 100.0 (132) 100.0 (129) 100.0 (123) 100.0 (384)
Female candidates 65.2 (86) 55.8 (72) 52.8 (65) 58.1 (223)
Male candidates 34.8 (46) 44.2 (57) 47.2 (58) 41.9 (161)
Total 100.0 (132) 100.0 (129) 100.0 (123) 100.0 (384)

Preferences for candidate gender

We conducted a logistic regression on candidate gender (0 = choice of a male candidate, 1 = female candidate). Following our prediction in H2 where choices in the relational crisis would be higher than in the control condition, with the financial crisis situated in-between, we entered two orthogonal contrasts for crisis type (Contrast 1: 1 = relational crisis, 0 = financial crisis, -1 = no crisis; residual Contrast 2: 1 = relational crisis and no crisis, -2 = financial crisis). The results for H2 regarding the expected main effect of crisis type C1 were in the expected direction (relational crisis 65.2%; financial crisis 55.8%; no-crisis: 52.8%), B = 0.26, χ2 (1, N = 384) = 3.97, p = .046, eB = 1.30, 95% CI [1.00, 1.66] (Table 2). The residual C2 effect was not significant, B = 0.05, χ2 (1, N = 384) = 0.39, p = .534 eB = 1.05, 95% CI [0.91, 1.21]. Overall, female candidates (58.1%) were more likely to be selected than male candidates (42.9%), B = 0.32, χ2 (1, N = 384) = 9.72, p = .002, eB = 1.38.

Perceived relevance of leadership attributes

For a test of H3, we first performed two separate ANOVAs, with both communal leadership behavior and traits as outcome variables. The C1 contrast (1 = relational crisis, 0 = no crisis, -1 = financial crisis) was entered as the independent variable, while controlling for C2 (1 = relational crisis and financial crisis, -2 = no crisis).

For communal leadership behavior, a crisis type C1 effect was shown, F (1, 381) = 22.69, p < .001, ηp2 = .06, indicating that in the relational crisis (M = 5.60, SE = 0.12) communal behavior was perceived as more relevant than in the financial crisis (M = 4.81, SE = 0.12), with no crisis (M = 5.09, SE = 0.12) situated in-between (i.e., the C2 effect was not significant, F (1, 381) = 0.56, p = .454, ηp2 = .001).

Similarly, for communal leadership traits, a crisis type C1 effect was shown, F (1, 381) = 11.24, p < .001, ηp2 = .03, indicating that in the relational crisis (M = 5.48, SE = 0.09) communal traits were perceived as more relevant than in the financial crisis (M = 5.05, SE = 0.09), with no crisis (M = 5.15, SE = 0.09) situated in-between (i.e., the C2 effect was not significant, F (1, 381) = 1.17, p = .279, ηp2 = .003).

Mediational analyses

In order to fully test whether the relevance of communal attributes could explain the preferential choice for a communal leader in a relational crisis, as compared to a financial crisis, with the no crisis condition situated in-between (H3), we ran mediation model 4 using Hayes’ [61] PROCESS macro with 10,000 biased bootstrap samples. PROCESS can estimate models with binary outcomes and estimate accordingly. The dependent measure was candidate gendered traits (0 = agentic, 1 = communal). The C1 contrast of crisis type (1 = relational crisis, 0 = no crisis, -1 = financial crisis) was entered as the independent variable, while controlling for C2 (1 = relational crisis and financial crisis, -2 = no crisis). Communal leadership behavior and traits were posed as simultaneous mediators (see Fig 2).

Fig 2. Indirect effect of crisis type (contrast C1), mediated by communal leadership behavior but not communal leadership traits, on the preference for communal (as opposed to agentic) candidates (Study 2, United States of America).

Fig 2

Process Model 4 of Hayes (2018, [62]). Numbers indicate unstandardized coefficients. *** p < .001.

For leadership behavior, path ‘a’ showed that the incremental effect of financial crisis—no crisis—relational crisis (C1) was related to higher relevance ratings of communal behavior, B = 0.40, SE = 0.08, p < .001, 95% CI [0.23, 0.56], and communal traits, B = 0.21, SE = 0.06, p < .001, 95% CI [0.09, 0.34]. Path ‘b’ showed that the more communal behavior was rated as relevant, the more likely a communal candidate would be to be chosen, B = 0.95, SE = .14, p < .001, 95% CI [0.67, 1.21]. Conversely, path ‘b’ for communal traits was not significant, B = 0.06, SE = .08, p = .72, 95% CI [-0.25, 0.63]. The direct effect of crisis type C1 on candidate selection was significant, path ‘c’: B = 0.64, SE = 0.15, p < .001, 95% CI [0.35, 0.93], as was the indirect effect through communal behavior, B = 0.22, SE = 0.07, 95% CI [0.11, 0.38]. The indirect effect through communal traits was not significant, B = 0.01, SE = 0. 40, 95% CI [-0.06, 0.09].

In line with Hypothesis 3, ratings of relevance for communal behavior explained the stronger preference of communal candidates in a relational crisis versus no crisis versus financial crisis. In contrast, communal traits had no mediating effect, in only partial support of H3.

Additional analyses: Change potential

Previous research suggests that in times of crisis the atypicality of a candidate may be valued and used to signal change [37]. In order to explore whether the potential to signaling change was associated more with candidate choice in crisis compared to no crisis contexts, we performed an ANOVA on signaling change with orthogonal contrasts for crisis type as predictors. C1 opposes the two crisis conditions to the no crisis (1 = relational and financial crisis, -2 no crisis) and thus tests our exploratory question, and C2 tests for differences between the two crisis conditions (1 = relational, -1 = financial crisis, 0 = no crisis). As expected crisis type C1 had an effect, B = 0.36, SE = 0.04, t(381) = 8.67, p < .001, 95% CI [0.28, 0.44], ηp2 = .17, revealing that signaling change potential was more strongly associated with candidates chosen in the relational (M = 5.90, SE = 0.10) and financial crises (M = 5.99, SE = 0.10) than in the no crisis condition (M = 4.88, SE = 0.10). C2 was not significant, thus the two crisis conditions did not differ, B = -0.05, SE = 0.07, t(381) = -0.64, p = .521, 95% CI [-0.18, 0.09], ηp2 = .001.

We performed PROCESS model 4 mediational analysis [61], testing the role of signaling change as a mediator for the choice of candidate gender depending on crisis type. We opted for a contrast-coding that opposed the two crisis types to the no crisis (C1), controlling for the residual orthogonal contrast (C2). The mediation effect was not significant, B = - 0.01, SE = 0.03, 95% CI [-0.08, 0.06]. Thus, although signaling change was associated more with candidates chosen in both crisis contexts, path ‘a’: B = 0.36, SE = 0.04, p < .001, 95% CI [0.27, 0.44], it was not specifically more associated with the choice of a woman, path ‘b’: B = -0.03, SE = 0.09, p = .775, 95% CI [-0.21, 0.16]. We acknowledge that the causality path is ambiguous because signal of change was measured after candidate choice. Because of this, ratings of signaling change could also be due to post decision justification. In Study 3, we thus changed the study design, allowing us to measure a candidate’s potential to signaling change before candidate choice, in order to have greater confidence in the causality of mediation paths.

Discussion

This simplified study replicated the patterns found in Study 1 with a larger sample size, by showing that both communal candidates and female candidates had a leadership advantage in the relational crisis compared to the other two conditions. As expected, while the financial crisis was the least preferred condition for communal candidates (consistent with H1), the no crisis condition was the least preferred for female candidates (consistent with H2). Moreover, Studies 1 and 2, as well as [43]—showed that the choice of gendered traits was more strongly affected by organizational context than candidate gender, suggesting that participants are more likely to focus more on leadership style characteristics than stereotypes associated with gender.

The distinct patterns for gendered traits and gender point to different mechanisms at play. Indeed, communal attributes, in terms of leadership behavior (Studies 1 and 2), were most strongly demanded in a relational crisis, and least in a financial crisis, thereby explaining the choice of communal candidates, but they did not explain the choice of a woman. This comes without surprise as traits are considered stable personality entities and are more likely to be associated with candidate gender. Hence the relevance of communal behavior, which can be learned and flexibly adapted, may be stronger in predicting a choice for communal candidates, who may be perceived to have acquired these traits throughout experience (irrespective of perceptions of their inherited traits in link with their biological sex). In contrast, because female leaders may be perceived as having inherited unchangeable traits–such as communal traits–these stable traits may not guide participant choice, but rather are overshadowed by other factors such as the potential to signaling change.

Our additional analyses revealed that the potential to signaling change was more strongly associated with candidates chosen in the crisis conditions than those chosen in the no crisis condition. However, mediational analyses did not show evidence that particularly the choice of female leaders was affected by the signaling change motive. The motivation to signal change likely has some impact on candidate choice, but other factors may outweigh it when it comes to choice based on gender.

Study 3

This study was run for two purposes: First, we intended to replicate the findings from the first two studies by inverting the experimental procedure, that is, present one out of the four candidates to each participant and ask them to choose from the three organizational contexts (relational, financial, and no crisis). Second, we wanted to explore the role of potential for change in a better suited experimental design, allowing us to measure the signal of change potential associated with the candidate before choosing the organizational context. If significant, the causality of a candidate’s potential for change as predictive of the choice of crisis context could be assumed.

Method

Ethic approval was obtained from the first author’s faculty ethic comity for Study 3 (Faculty of Psychology and Educational Science of the University of Geneva, modification of N° PSE.20190305.06). Participants gave written informed consent by clicking on one of two possible answers (Yes or No) at the beginning of the study just after reading general information about study content and data management, and again at the end of the questionnaire after having been fully debriefed about the experimental manipulations and aims of the study.

Participants

Based on the same arguments discussed in Study 2, we considered again a small effect size for the a priori power analysis. Thus, in order to have 80% power to capture a minimum effect size of an Odd Ratio = 1.80 (with a probability under H0, p1 = .50), we aimed for a final sample size of 375 participants. We requested for 450 participants and received N = 447 completed questionnaires. For this study, the entry criteria were more rigorous, as we asked participants to have at least three years of work experience while being employed by a company (Study 2 had included participants who were self-employed, retired, or in education). Participants were N = 385 MTurk workers after exclusion of 62 participants. A sensitivity analysis for logistic regressions revealed that with N = 385, α = .05, and 80% desired power, the minimum effect size that we could detect was an Odd Ratio = 1.78 (based on a probability under H0, p1 = 0.5). Exclusion criteria were the following: Participants who did not give informed consent after the debriefing at the end (n = 17), who did not pass the attention check (n = 10), who got one or several of the manipulation checks wrong (n = 34; n = 11 participants answered incorrectly the item about which of the companies “has the best performance”, n = 17 answered incorrectly to the item asking which of the companies, “is going through problems due to its financial performance”, and n = 14 answered incorrectly to the item asking which of the companies, “is going through problems due to relationships between employees in the company”), who did not indicate their gender (n = 3), and who were not English native speakers (n = 11).

Participants included 57.1% women and reflected ethnic composition of the USA (68.8% White, 15.3% Hispanic/Latino; 7% Asian American; 10.1% African-American; 1% Native American, 0.5% other). Participants were on average M = 38.20 years old (SD = 11.59; minimum 19, maximum 72 years), and 82.3% had at least an Associate degree. Participants had on average M = 6.78 years of work-experience with their current employer (SD = 6.16, minimum 0 year, maximum 35 years), and M = 17.99 years of work-experience overall (SD = 11.33, minimum 3 year, maximum 54 years). All participants were employed; 88.6% worked full-time, and 58.4% held a management position.

Procedure

The study had a 2 (Candidate gendered traits: agentic, communal) × 2 (Candidate gender: male, female) between participant design with choice of crisis type (relational crisis, financial crisis, no crisis) as the outcome variable.

After consenting to participate, participants read three fictitious articles about the companies “Campbell”, “Jefferson”, and “Morton” who are each seeking a new CEO (see Appendix A2a, A2b, and A2c Fig in S1 Appendix). We used the same materials as in Study 2 (apart from small wording modifications so the three texts were not identical) in order to introduce the three organizational contexts. The order and the naming of the companies were randomized. Participants then responded to manipulation check items and rated which leadership behaviors were relevant for each one of the companies. Finally, participants were presented with one out of the four candidates from Study 2, again counter-balancing the two communal and the two agentic profiles for the male and female candidates (see Appendix A4 Table in S1 Appendix). Participants assessed the candidate’s signaling change potential and then received the following instructions: “The headhunter can recommend [Alan/Claire] Jones only for one of the three companies. The candidate should ensure an efficient functioning and a strong performance of the company. If you were to advise the headhunter, which company would you recommend Jones for:”. Then participants could indicate their choice between the three companies which appeared with their names and the articles and justify their choice with the leader suitability items (which are reported in the S1 File).

Measures

Manipulation checks. After reading the three scenarios, participants were asked which of the companies “…has the best performance”, “… is going through problems due to its financial performance?”, and “…is going through problems due to relationships between employees in the company?” with three answer options (Campbell, Jefferson, or Morton).

Communal leadership behaviors. On a new page, participants saw each article again and had to rate on the same scale as in the two previous studies the relevant leadership behaviors for each company ([59]; communal behavior, for all companies α > .90; relational crisis: M = 5.96, SD = 1.39, financial crisis: M = 4.99, SD = 1.31, no crisis M = 5.47, SD = 1.18).

Signaling change. As in Study 2, the four signaling change items were presented (For all candidates αs > .88; male agentic: M = 5.40, SD = 1.12, female agentic: M = 5.60, SD = 1.12, male communal: M = 5.59, SD = 1.00, female communal: M = 5.49, SD = 1.01).

Results

Preliminary analyses

We controlled for participant gender as a main effect and in all interactions in all analyses presented here. It had no significant effect in any analysis, we thus did not consider participant gender in the analyses presented hereafter.

We first looked at general preferences for the three companies. The relational crisis was chosen by 56.6%, the financial crisis by 29.1%, and the no crisis context by 14.3%.

Preferences for crisis type

We conducted two multinominal logistic regressions entering candidate gendered traits (-1 = agentic, 1 = communal candidates), candidate gender (-1 = male, 1 = female candidates), and their interaction as predictors, and crisis type as the outcome variable. In the first multinomial logistic regression, we specified the no crisis condition as the reference category. Thus, in this logistic regression model we were interested in the probabilities of choosing the relational crisis (versus no crisis), and, respectively, the financial crisis (versus no crisis), as a function of the predictors. In the second multinomial logistic regression, we specified the financial crisis condition as the reference category. This regression model informed us about the probability of choosing the relational crisis (versus financial crisis) and, respectively, the no crisis (versus financial crisis) situation, as a function of the predictors.

Regarding candidate gendered traits, the results fully support H1. The probability of choosing the relational crisis (versus no crisis) was higher for the communal candidate compared to the agentic candidate, B = 1.04, χ2 (1, N = 385) = 34.88, p < .001, eB = 2.84, 95% CI [2.01, 4.01]. Furthermore, the probability of choosing the no crisis situation (versus financial crisis) was higher for the communal candidate compared to the agentic candidate, B = 1.03, χ2 (1, N = 385) = 15.07, p < .001, eB = 2.80, 95% CI [1.66, 4.70], and, the choice of the relational crisis (versus the financial crisis) was higher for the communal candidate compared to the agentic candidate, B = 2.07, χ2 (1, N = 385) = 80.66, p < .001, eB = 7.94, 95% CI [5.05, 12.47]. Table 3 presents the percentages of choice for each type of crisis as a function of candidate gendered traits.

Table 3. Choice of a relational crisis versus financial crisis versus no crisis as a function of candidate gendered traits and candidate gender (Study 3, United States of America).
Choice of crisis type % (n)
Relational crisis Financial crisis No crisis Total
Communal candidates 86.9 (172) 3.5 (7) 9.6 (19) 100.0 (198)
Agentic candidates 24.6 (46) 56.1 (105) 19.3 (36) 100.0 (187)
Total 56.6 (218) 29.1 (112) 14.3 (55) 100.0 (385)
Female candidates 61.3 (117) 28.3 (54) 10.5 (20) 100.0 (191)
Male candidates 52.1 (101) 29.9 (58) 18.0 (35) 100.0 (194)
Total 56.6 (218) 29.1 (112) 14.3 (55) 100.0 (385)

Regarding candidate gender, the first regression showed that the probability of choosing the relational crisis context (versus no crisis) was higher for the female candidate compared to the male candidate, B = 0.45, χ2 (1, N = 385) = 6.57, p = .010, eB = 1.57, 95% CI [1.11, 2.22]. However, the probability of choosing the relational crisis (compared to the financial crisis) did not differ according to candidate gender, B = 0.35, χ2 (1, N = 385) = 2.24, p = .135, eB = 1.41, 95% CI [0.90, 2.22]. Finally, the probability of choosing the financial context (versus no crisis) did not differ for the female candidate compared to the male candidate, B = 0.11, χ2 (1, N = 385) = 0.17, p = .684, eB = 1.11, 95% CI [0.66, 1.87]. Table 3 presents the percentages of choice for each type of crisis as a function of candidate gender. Thus, only partial support was found for the effect predicted in H2, with a significant difference regarding the probability of choosing the relational crisis versus no crisis contexts.

The candidate gendered traits and gender interaction was not significant in any of the analyses (all ps > .489).

Perceived relevance of leadership attributes

The design of Study 3 did not allow us to test Hypothesis 3, in terms of a classical mediation where the relation between candidate gendered traits and the type of crisis selected is mediated by the perceived relevance of leadership behaviors. We therefore conducted two complementary sets of analyses that offer support for our theoretical reasoning. We first investigated whether the communal leadership behavior was stronger for participants who had selected the relational crisis compared to those who had selected the no crisis, and compared to those who had selected the financial crisis. We performed a within-participant ANOVA with relevance ratings of communal leadership behavior for the three crisis types as repeated measures. Communal leadership behavior was deemed more important in the relational crisis (M = 5.96, SE = 0.07) compared to a no crisis situation (M = 5.47, SE = 0.06), F (1, 384) = 39.60, p < .001, ηp2 = .09, which was different from the financial crisis (M = 4.99, SE = 0.07), F (1, 384) = 69.20, p < .001, ηp2 = .15. Second, we investigated whether a candidate’s gendered traits were linked to the perceived relevance of the leadership behavior for the type of crisis matched to the candidate. We conducted an ANOVA with candidate gendered traits and candidate gender as between-participant factors. The dependent variable was the communal behavior for the organizational context preferred for the candidate. Supporting the reasoning of H3, the main effect of candidate gendered traits was significant, B = 0.29, SE = 0.07, t(381) = 4.12, p < .001, 95% CI [0.15, 0.43], ηp2 = .04. The perceived relevance of the communal behavior was higher for the type of crisis matched to the communal candidate (M = 5.82, SE = 0.10) compared to the one matched to the agentic candidate (M = 5.24, SE = 0.10). No other effects were significant, ps >.194.

Additional analyses: Signaling change

In order to explore the effects of the potential to signaling change, we performed an ANOVA with candidate gendered traits and candidate gender as between-participant factors. No effect was significant, all ps > .171.

Discussion

In the third study, we applied an inverted experimental design to check the robustness of our findings and to further explore the role of signaling change. Studies 1 and 2 presented the four candidate types to participants, while only showing one organizational condition, whereas the final study revealed all three organizational contexts but not the different candidate profiles. These variations allowed us to test the robustness of our findings. Consistent with the first two studies and H1, a strong effect showed that the communal candidate—relational crisis association was stronger than the communal—no crisis association, with the communal—financial crisis association being the weakest. For candidate gender, the effects found also followed patterns from Studies 1 and 2. The female-relational crisis preference was stronger compared to the no crisis condition, with the financial crisis situated in-between but not significantly different from either. Thus, this progressive pattern was in the predicted direction; however, results were weak, thus only partially supporting H2. This was in line with prior research [43] illustrating that in experimental settings, candidate gender plays a weaker role in decision making in the presence of information about the gendered trait characteristics of a candidate.

We find no support for signaling change as more strongly associated with women, nor evidence for its role as a motivator underlying a female-crisis association. Participants were asked to evaluate candidates according to their potential to signaling change and only afterwards they chose a suitable company context. Following this chronology, participants might not have viewed the potential to signal change in the context of the leadership mission expected from the candidate. It may therefore be a better strategy to ask participants to match the candidate with a company, and then to outline their reasoning for their choice.

General discussion

Glass cliff research has shown that women are preferred in organizations suffering from a crisis [810]. Moreover, previous findings suggest that in crisis situations the traditional think manager-think male stereotype may be less consistent [13]. In the present work, we provided empirical evidence establishing that a glass cliff preference for women, and for leaders ascribed stereotypically feminine traits, occurs particularly in specific types of crises which are relational in nature. We examined variations in how people’s stereotypes about leadership effectiveness vary across different types of crisis, and identified the perceptual contingencies governing crises due to “feminine” (e.g., relational) versus “masculine” (e.g., financial) problems. Results from three experiments consistently showed that the choice of female gendered leaders and leaders with feminine gendered (communal) traits are not driven by the same motivations. Whereas communal traits were strongly associated with a relational crisis, and higher ratings of the relevance of communal leadership behavior drove this effect, choices for the female gender were more complex. Although, like feminine traits, female gender was also more strongly associated with a relational than a no crisis context, the financial crisis was situated in-between the relational and no crisis situations. These findings suggest that for the choice of women, their stereotypically associated feminine (or communal) traits may be deemed useful in a crisis demanding relational competences, but other factors also play a role. One such factor, the choice of women for their atypicality or potential to signaling change was explored, but evidence was mitigated.

By investigating variations in crisis typology, our findings add to explanations for the glass cliff. Specifically, beyond extending past research that has identified motivating factors for the glass cliff which do not value women’s or communal competences [13, 63], we investigated crisis contexts where stereotypically feminine qualities are perceived as an added value for leadership effectiveness. Although the mechanism explaining the think crisis-think feminine association has been understood in the present research, the underpinnings of the think crisis-think female association are more complex. It seems that other factors which concern the female gender particularly, such as their atypicality and signaling change purpose [37], might shape part of the motivation for the selection of women. We tested this idea, with Study 2 showing an association of a motivation to signaling change with the choice of candidates in crisis contexts. However, this was true for both the choice of female and male candidates. In Study 3, we made a further attempt to establish a link to a signaling change explanation by asking participants to first rate candidates on their potential to signaling change, and then to attribute them to a company context. No conclusive results were revealed, probably due to the lack of meaning of the signaling idea if a candidate is not evaluated on the background of a specific (crisis-) mission. Future research should investigate whether what is understood by signaling change is understood in different ways for men and women. Moreover, a direct test of the impact of signaling change intentions could be performed by manipulating or priming participants with a mission to signaling change, with a consecutive measure of their leadership preferences in terms of gender. The analysis of audience reactions and their anticipation by decision-makers is an important field for future research. For example, recent research has suggested that audience reactions to organizational failure differed in relation to leader gender and failure type [64].

We found that when a leader’s tasks involved dealing with financial problems, or competition, agentic leaders were the most selected. These findings extend research suggesting that stereotypically male qualities are deemed useful in many crisis contexts [43], and are also largely consistent with experimental work showing that communal orientations elicit negative evaluations of leadership effectiveness when organizational tasks involve economic and financial functions [42].

It is of interest to note that despite a stronger preference for female CEOs in crisis than no crisis contexts, overall male CEOs were preferred in Study 1 in a Spain sample. In Study 2 with a US sample, no main effect of gender was observed, suggesting that in this context, female leadership has potentially become a more accessible, or acceptable concept. In the corporate world, relatively few women are found in top leadership positions, and particularly in Spain, management is still perceived as less compatible with female gender compared to other European countries and the United States of America [65].

An interesting observation provided by the last study is that gender and gendered traits did not interact in the female-crisis and feminine-crisis associations. However, future research should also focus on more androgynous profiles of leaders, that is, leaders having communal and agentic traits. The modern leadership literature suggests that the ideal manager is one who can pivot between both agentic and communal behavioral and trait dimensions, and that women may have a particular advantage when it comes to displaying androgynous trait combinations (e.g., [66]). However, this literature has investigated these associations without considering organizational features such as performance [67]. The present experiments were deliberately limited to opposing gendered trait variants (agency OR communion) in order to establish, as a first step, the pure unadulterated contributions of the two gender and gendered trait dimensions. However, the reality is much more fluid, and future work should focus on more complex variations of gender and gendered trait dimensions. Moreover, intersectionality with other social categories such as ethnicity in the context of the glass cliff may bear interesting insights, see for example [39].

Implications

The present work on the association of leader characteristics in terms of gender, and gendered traits in the context of organizational performance, has at least two important practical implications. First, there is a direct application to an increasing number of organizations that are unexpectedly engaged in different types of crisis situations, which often involve dealing with financial and economic goals. Given that people’s leadership schemas influence their perceptions of leaders as well as relevant outcomes, such as job satisfaction, organizational commitment or well-being [68], our findings serve to make more nuanced sense of managerial behavior in difficult organizational settings. Second, our findings have important implications for organizational performance in crisis management. As the present findings suggest, communal qualities–and to a smaller extent women—are perceived as a sign of lower performance in organizational situations that explicitly involve economic problems. However, previous studies have demonstrated that stereotypically feminine leadership abilities, such as promoting teamwork, joint effort, and shared goals are key elements in transforming industries in crisis, not only when the problem is internal disharmony but also when broader financial factors are involved [19, 20, 69]. Stereotypical beliefs that leaders with stereotypically masculine traits are more appropriate for leading in such crisis contexts thus run the risk of reinforcing less collaborative and more hierarchical leadership styles during times when interpersonally oriented, “feminine” leadership characteristics are indeed particularly relevant.

Conclusion

Our findings establish that women and candidates with communal qualities are more likely to access leadership positions in crisis contexts that call for communal qualities, than in financial crisis or no crisis contexts. However, more studies are needed to disentangle the complexities of stereotypes and decision-making regarding selection of women versus candidates with communal qualities in crisis contexts, as well as their effects for career development. A key implication of the current study is that the stereotypes that define effective leadership in crisis management are not necessarily linked to women and communal dimensions, as one would expect from glass cliff effects. When an organization facing a relational crisis is seeking a competent leader, a think manager-think feminine stereotype seems to apply. However, when an organization is choosing a female leader, communal competences are not the only determining factors.

Supporting information

S1 Appendix. Appendix.

(DOCX)

S1 File. Supporting information.

(DOCX)

Acknowledgments

We thank Sarah Robinson for her proof-reading comments on the final version of this paper.

Data Availability

The data underlying this study are available on OSF (https://doi.org/10.17605/OSF.IO/B3U5K).

Funding Statement

CK received grant no. 100019_188934 from the Swiss National Science Foundation http://www.snf.ch/en/Pages/default.aspx. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

I-Ching Lee

30 Jul 2020

PONE-D-20-16233

Contextualizing the Think Crisis-Think Female Stereotype in Explaining the Glass Cliff Gendered Traits, Gender, and Type of Crisis

PLOS ONE

Dear Dr. Kulich,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

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We look forward to receiving your revised manuscript.

Kind regards,

I-Ching Lee

Academic Editor

PLOS ONE

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2. Please include the full name of the Institutional Review Board that approved your study in the ethics statement.

Additional Editor Comments (if provided):

I have the reviews back from experts in the field and they generally see the merits of the manuscript. However, both reviewers also raise major concerns over the current manuscript, which I completely agree. I'll raise these major concerns in the following but please also pay attention to minor concerns each individual reviewer raised.

1. Problems with the data and analyses

Data: In Study 1, you excluded participants who chose the extreme agentic filler candidate. I disagree with this choice (also see comment from Reviewer 1). You cannot exclude participants just because they do not respond the way you expect them to unless there are sufficient reasons for doing so (e.g., those who do not pass the manipulation check). Thus, I would like you to put these participants back to your data set.

Data analysis: In Study 1, you include two contrasts in the regression models. However, it is not clear to me how the Contrast 2 could be interpreted (also see comment from Reviewer 1). I assume that the inclusion of the Contrast 2 is to ascertain whether the two experimental conditions differ from the control condition but not in the way you expected (which was tested in Contrast 1). In this case, the contrast should be 1 = relational crisis, 0 = no crisis, 1 = financial crisis so that the intercept is more interpretable. In addition, the interaction term (gender traits x candidate sex) was not tested consistently across studies (see comment from Reviewer 2). Please test it across all studies. In addition, if the contrast 1 is significant, please indicate whether the two comparisons were both significant (relational crisis vs. no crisis; financial crisis vs. no crisis) or not. Lastly, I agree with the Reviewer 1 that you should be cautious about using difference scores. It would be better to test them separately because communal and agency traits are of two dimensions rather than two poles of one dimension.

2. Problems with presentation

c. literature gaps: There are some choices made in the method section in which readers have not been informed (e.g., the organizational roles; the distinction of traits and behaviors).

b. Please reorder the information, move the sensitivity test to the method section under participants (because the information pertains to the sample size) and address the concern raised by Reviewer 1.

c. I would rather see tables with all the results than the bar figures that contain very little information. Right now, we only get a glimpse of the logistic models, without seeing the whole picture.

d. please list the case number for the ethical approval in the text.

e. Whenever a main effect appears, please conduct post hoc comparisons to ascertain whether the two experimental conditions differ from the control condition (e.g., on page 30, only mean scores were reported without the p-values for the comparisons).

f. I am very confused in terms of how the analysis was done done in Study 3. You stated that “We conducted multinominal logistic regressions…” on line 870 but listed “crisis type as outcome variable (1 = relational crisis, 2 = financial crisis, 3 = no crisis…” on lines 872-875. You further reported findings in the first regression model and stated that “the probability to choose the relational crisis (versus no crisis) on lines 876 – 877 and further “the probability to choose the no crisis (versus final crisis)… on line 879. I am not sure how categorical variables can be numbered and entered in a regression model and why the reference group kept changing in the findings of the same regression model. Findings in Study 3 should be reported so readers understand what was done and can interpret the findings themselves.

g. There are places that it’s quite difficult to follow/read. Please carefully read your manuscript and revise accordingly or seek editing services.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Partly

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: I Don't Know

Reviewer #2: I Don't Know

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3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

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4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: No

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: 1. Is the manuscript technically sound, and do the data support the conclusions?

--First, I would be cautious about drawing any conclusions--even negative conclusions-- from moderation analysis, as was done in Study 1, given the sample size. Roger Giner-Sorolla has a blog where he discusses in detail the specific problems of power analyses in moderation, and how GPower is not adequate.

Second, I would also be cautious about using difference scores, as was done for leadership behaviors. In some literatures this is an accepted practice, however there are issues with this--for one example, see Cafri, van den Berg, & Brannick, 2010. Would it be a better practice to include communal and agentic traits/behaviors as separate mediators? PROCESS accepts this. If not, why not?

Third, I did not understand the rationale for including Contrast 1 and Contrast 2 in the same analyses, nor how they were specifically related to Hypothesis 1.

Fourth, I did not understand the argument made on lines 972-986, specifically to how these results challenge explanations of the glass cliff. I didn't see anything in the Intro or the hypotheses that specifically opposed these explanations, if that is what was meant by "challenging." Or does this have do with using women to signal change? I would be wary about concluding that the "signalling change hypothesis" (to say) doesn't work. These results do not completely support it, but there is some support and that could be meaningful. On this point, however, I was not clear. I understood that Studies 2 and 3 assessed this "hypothesis" in different ways, but the implications of the conflicting results was not immediately clear. I think it could be worthwhile to set aside a small space in the discussion section to explicitly discuss this aspect.

Fifth, it seemed like the power analysis in Study 1 was introduced in between the treatment of Hypotheses 2 and 3. Did this also apply to Hypotheses 1 and 2? If they did, it was not immediately clear what the power analysis said about the results from H1 and H2, particularly because the power analysis was presented in terms of Odds Ratios but the results were presented in terms of betas.

Sixth, there are many references to the glass cliff but I do not recall seeing an explicit explanation of what the glass cliff actually is.

Seventh, I did not see a satisfactory explanation, or a potential explanation, for why there was a role for leadership behaviors but not leadership traits in Study 1. The explanation on lines 528-530 was not clear.

Eighth, I did not understand the point or implications of the analysis described on lines 502-504.

Ninth, I did not understand the reference to "competence ratings" or the consequent implications on lines 538-540.

Tenth and finally, I was not convinced by the rationale to exclude participants who chose the extreme agentic candidate in Study 1. Authoritarian, tough, and competitive would not describe my preferred candidate but others may prefer this style--in any case, I didn't think that it is an obviously wrong choice that should be excluded.

2. Has the statistical analysis been performed appropriately and rigorously?

--I don't have any specific issues besides things I've mentioned above, particularly with use of difference scores. Is this a common feature of this specific literature? I would feel more comfortable, given the problems in difference scores, if they were not used or, at least, a convincing argument was made for their necessity.

4. Is the manuscript presented in an intelligible fashion and written in standard English?

First, it was a bit difficult to read in places. I think it would benefit from having the hypotheses put into their own specific section. The hypotheses were not complex but at times I had trouble keeping track of them and how they related to the results.

Second, I think the manuscript could benefit from another pass of the language; there were numerous little passages throughout that, after awhile, made it difficult to read. For example, I had trouble with lines 132-133.

Third, in some places (e.g., 855-856), the means and standard deviations were separated rather than being paired. This was confusing and honestly just kind of weird. Is there a reason why they cannot be paired?

Despite my perhaps negative tone in places I thought that this was a fascinating paper that has a lot to add to the literature.

Reviewer #2: PONE-D-20-16233: Contextualizing the Think Crisis-Think Female Stereotype in Explaining the Glass Cliff

Gendered Traits, Gender, and Type of Crisis

I appreciated the different designs across studies (e.g., within and between subjects) to test the hypotheses multiple ways. These designs also helped to compensate for particular flaws in any one study (e.g., lack of manipulation checks and counterbalancing candidate profiles in Study 1) and replicate the effects, even testing them across different cultures. I provide a few comments/suggestions below.

When on pg. 8 the authors note that they are expanding on past research by investigating “gendered traits simultaneously with information on candidates’ gender” rather than in isolation, I assumed they would be looking at the interaction of these two factors. Yet, aside from Study 3’s nonsignificant interaction, no mention was made of this in terms of predictions or results. Is there a reason to predict that gender and gendered behavior would interact with each other? These data seem to have the capacity to test for this effect (that is the benefit of including both variables in the same study design) rather than looking at each individually.

It is obvious from the graphs that both agency and communion are relevant to these leadership contents, although differences between conditions are tested using a difference score. In most cases, these average difference scores were negative, which means that even in the relational crisis in Study 2 agency was rated higher than communion (although this difference is less than in the other conditions). Thus, I would caution the authors not to make claims that imply that only communal traits are important in certain contexts – it appears that both types of traits are important. The difference between the ratings varies, but that difference could have stemmed from changes in agentic traits as well as communal traits so a difference in the means isn’t that informative unless you can also see the graph to visually (but not statistically) see what ratings are changing across conditions. If the authors want to make claims about the absolute value of the agentic or communal demands of the position, they may want to rather test for difference within each trait separately. Otherwise, any summary of the results and conclusions should make it clear that it was the difference between the traits or leadership behaviors that varied across conditions (and that agency was almost always rated higher than communion).

I would have like more discussion of cultural differences and similarities across the studies, and what that means for choosing leaders in crisis situations, in the discussion section.

How were the communal and agentic leadership behaviors chosen? Is there evidence (e.g., outside ratings or manipulation checks) that these are agentic behaviors? They are noted as task-oriented behaviors, but don’t strike me as particularly agentic - delivering on a goal or meeting an objective would look different based on what the goal or objective is.

On pg. 38, now that the dependent variable has switched to one of three contexts, be careful how you talk about the results – saying that “female candidates were preferred by 53.7% of participants in the relational, 48.2% in the financial crisis, and 36.4% in the no crisis condition” doesn’t seem to make sense in this case, when there were no relational, financial, and crisis conditions but instead participants selected between these positions.

**********

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Reviewer #1: Yes: Conrad Baldner

Reviewer #2: No

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PLoS One. 2021 Mar 2;16(3):e0246576. doi: 10.1371/journal.pone.0246576.r002

Author response to Decision Letter 0


19 Sep 2020

Response to Reviewers

PONE-D-20-16233: Contextualizing the Think Crisis-Think Female Stereotype in Explaining the Glass Cliff Gendered Traits, Gender, and Type of Crisis

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

We tended closely to the instructions outlined in the two files and hope everything is fine now. (We have not highlighted the formatting as track-changes.)

2. Please include the full name of the Institutional Review Board that approved your study in the ethics statement.

We have added this information. However, the manuscript is not completely anonymous anymore as it states the affiliation of one of the authors.

E1. Problems with the data and analyses

E1a. Data: In Study 1, you excluded participants who chose the extreme agentic filler candidate. I disagree with this choice (also see comment from Reviewer 1). You cannot exclude participants just because they do not respond the way you expect them to unless there are sufficient reasons for doing so (e.g., those who do not pass the manipulation check). Thus, I would like you to put these participants back to your data set.

We have included the participants who chose the extreme agentic candidate in the analysis and updated the data-base on OSF. His choice was added to the choice of “Male” candidates and “agentic candidates”. The N is now 319 (previously 298). This information was changed in the abstract and method section.

• Following the addition of these participants results have not changed.

• Our analyses where we control for potential participant gender effects showed that participant gender does not produce any effects for the tests of H1 and H2 anymore. Thus, we deleted this section from the Supporting information section.

• Participant gender, however, had moderating effects on evaluations of the relevance of leadership behavior and traits which are fully reported in the Supporting information section.

We added the dataset including participants who chose the extreme agentic male to OSF.

E1.b Data analysis: In Study 1, you include two contrasts in the regression models. However, it is not clear to me how the Contrast 2 could be interpreted (also see comment from Reviewer 1). I assume that the inclusion of the Contrast 2 is to ascertain whether the two experimental conditions differ from the control condition but not in the way you expected (which was tested in Contrast 1). In this case, the contrast should be 1 = relational crisis, 0 = no crisis, 1 = financial crisis so that the intercept is more interpretable. In addition, the interaction term (gender traits x candidate sex) was not tested consistently across studies (see comment from Reviewer 2). Please test it across all studies. In addition, if the contrast 1 is significant, please indicate whether the two comparisons were both significant (relational crisis vs. no crisis; financial crisis vs. no crisis) or not.

In Studies 1 and 2 we opted for a Contrasts analysis. Contrasts are widely recognized as a useful tool for testing precise predictions about differences between groups, which are derived from theoretical models (Brauer & McClelland, 2005; Judd & McClelland, 1989; Judd, McClelland, & Ryan, 2017). They are preferred to omnibus tests with multiple degrees of freedom (usually followed up by post hoc comparisons) because they offer a higher level of precision in hypothesis testing and also they have the advantage of greater statistical power.

Regarding our hypotheses H1 and H2, we now detail the comparison tested by each contrast. For instance for H1, this part reads:

“We conducted a logistic regression on the choice of candidates as a function of gendered traits (0 = agentic candidates, 1 = communal candidates). Following our prediction in H1, we entered two orthogonal contrasts for crisis type (Contrast 1: 1 = relational crisis, 0 = no crisis, -1 = financial crisis; Contrast 2: 1 = relational and financial crises, -2 = no crisis), and organizational role (-1 = leader; 1 = employee) as well as their interactions. The C1 contrast tests the difference between relational crisis versus financial crisis. The C2 contrast verifies whether the no crisis condition is situated in-between by testing the comparison between the no crisis versus relational and financial crises taken together. To support a linear effect, contrast C1 should be significant, but not C2.” (p19 lines 437-445)

Moreover, in order to be clearer in the report of our results, we adapted the description of Hypotheses 1 and 2, as well as the report of the linear effects in the Results by always saying that the condition coded as 1 is different from the condition coded as -1, and that the condition coded as 0 is situated in-between these conditions.

Example: “We thus predict in Hypothesis 1 a linear effect: A communal (as opposed to agentic) leader will be preferred in a crisis context that contains communal problems (e.g., relational disharmony between employees) over a crisis scenario that contains agentic problems (e.g., financial problems), and a no crisis context will be situated in-between.” (p11, lines 240-244)

And in the Results section: “Consistent with our main hypothesis H1, the C1 contrast showed that overall participants were more likely to select communal leaders in the relational crisis (50.00 %) than in the financial crisis (27.20 %), B = 0.49, χ2 (1, N = 319) = 12.15, p = .001, eB = 1.64 (Table 1), with the no crisis context (38.50 %) situated in-between (i.e., contrast C2 had no effect, B = 0.02, χ2 (1, N = 319) = 0.03, p = .861, eB = 1.02). ” (p19, lines 446-452)

Brauer, M., & McClelland, G. (2005). L’utilisation des contrastes dans l’analyse des données: Comment tester des hypothèses spécifiques dans la recherche en psychologie. [Using contrasts in data analysis: How to test specific hypotheses in psychology research]. L’Année Psychologique, 105, 273–305.

Judd, C. M., & McClelland, G. H. (1989). Data analysis: A model comparison approach. San Diego, CA: Harcourt Brace Jovanovich.

Judd, C. M., McClelland, G. H., & Ryan, C. S. (2017). Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond. Routledge (3rd ed.). Abingdon, UK: Routledge.

In addition, the interaction term (gender traits x candidate sex) was not tested consistently across studies (see comment from Reviewer 2). Please test it across all studies

Study 3 was specifically designed to allow for testing the interaction between gender traits x candidate sex on the choice of crisis type. This was possible because we reversed the study design that we used in the studies 1 and 2 such that Gender traits and Candidate sex became the independent variables and Crisis type the dependent variable. In Studies 1 and 2, the crisis type (relational versus financial versus no crisis) was the independent variable, and the Gender traits and Candidate sex the dependent variables. This design used in Studies 1 and 2 did not allow for the test of an interaction effect in the classical sense. The DV can only be Gendered traits or candidate sex but not the interaction of both.

E1.c Lastly, I agree with the Reviewer 1 that you should be cautious about using difference scores. It would be better to test them separately because communal and agency traits are of two dimensions rather than two poles of one dimension.

In the old version of the paper, we used difference scores as we were interested in the relative distance between the two concepts. This approach was also used in Kulich et al. (2018). However, in this article they may have used difference scores as in serial mediation one could not include agency and communion simultaneously.

We agree with your argument that the literature shows that agency and communion are independent dimensions; also using difference scores does not reveal which one of the dimensions contributes more or less to the observed effects. Thus, we embraced your suggestion to use these measures separately. Following this decision we came to the conclusion that we can formulate a hypothesis on communion, but not for agency based on what we know from the literature.

We included the following changes:

1. Following this change in the analysis strategy, we adapted our hypothesis H3. We now frame it around changes in communal behavior and traits (instead of speaking of “communal versus agentic” attributions).

“Participants will ascribe higher relevance to communal leadership (i.e., behavior and traits) in a relational crisis scenario compared to a financial crisis, with the no-crisis context situated in-between. We expect this outcome to account for the linear preference effect of communal candidates predicted in H1.” (p12 lines 273-276)

2. Moreover, we added: “We did not make inverse predictions for agency, as the backlash literature on agentic female candidates shows that even if agency is considered relevant, lower relevance of agency does not necessarily lead to the choice of women [45]. In the context of glass cliff choices, we argue that the presence of communion-related attributions are likely to be decisive for the preference of communal leaders, rather than the absence of agentic ones. ” (p12 lines 277-282)

Descriptive results on the agency dimension can be found in the Supporting information.

E2. Problems with presentation

E2a. literature gaps: There are some choices made in the method section in which readers have not been informed (e.g., the organizational roles; the distinction of traits and behaviors).

We described the role of Organizational Roles under the subheading of “The present studies” p13, line 286. In order to make this section more visible we restructured the entire section and inserted a subheading: “Organizational role”. (p14, lines 303-329)

We added an explanation on the leadership measures in the “Measures” section in Study 1:

“Models in the leadership literature consider both leadership traits and behaviors [17]. Traits are generally considered personality elements that are inherited or acquired through socialization and are often connected to gendered traits of identity that are viewed as more stable across different situations, traits such as being sensitive, empathetic, or kind. In contrast, behaviors or styles of leadership (e.g., transformational-transactional) are considered to be learned, assuming that one can be trained to flexibly use them across different situations (for a review comparing leadership effects across these dimensions see [56]). Because stereotypes concern expectations for how people are (or should be) and how they behave (or should) [57], we measured both traits and behaviors in an effort to capture a global picture of communal and agentic aspects of leadership.” (p18, lines 402-411)

E2b. Please reorder the information, move the sensitivity test to the method section under participants (because the information pertains to the sample size) and address the concern raised by Reviewer 1.

We moved the sensitivity power analysis to the method section in Study 1. Moreover, we have redone the analysis based on the new sample size of Study 1 (obtained after reincluding in the data set the participants who chose the extreme agentic candidate).

Regarding the concern raised by Reviewer 1 (“Fifth, it seemed like the power analysis in Study 1 was introduced in between the treatment of Hypotheses 2 and 3. Did this also apply to Hypotheses 1 and 2? If they did, it was not immediately clear what the power analysis said about the results from H1 and H2, particularly because the power analysis was presented in terms of Odds Ratios but the results were presented in terms of betas”) -- The sensitivity power analysis concerns H1 and H2. In the report of results for H1 and H2, we present both the betas and the Odd Ratios. In the results report, the odd ratios are noted as “eB “: (for example: “Consistent with our main hypothesis H1, the C1 contrast showed that overall participants were more likely to select communal leaders in the relational crisis (50.00 %) than in the financial crisis (27.20 %), B = 0.49, χ2 (1, N = 319) = 12.15, p = .001, eB = 1.64 (Table 1), with the no crisis context (38.50 %) situated in-between (i.e., contrast C2 had no effect, B = 0.02, χ2 (1, N = 319) = 0.03, p = .861, eB = 1.02). ”. (p19, lines 446-452)

E2c. I would rather see tables with all the results than the bar figures that contain very little information. Right now, we only get a glimpse of the logistic models, without seeing the whole picture.

We replaced Figures on the logistic regression results (Figures 1 and 4 became Tables 1 and 2). Figures on leadership traits and leadership behaviors were removed from the article but can be found as tables in the supporting information (Tables S1 and S2). Mediational analyses are represented in Figures 1 and 2.

E2d. please list the case number for the ethical approval in the text.

We added the ethic record numbers.

E2e. Whenever a main effect appears, please conduct post hoc comparisons to ascertain whether the two experimental conditions differ from the control condition (e.g., on page 30, only mean scores were reported without the p-values for the comparisons).

This comment refers to the point we discussed in our response to E1b. Since our hypotheses predict a specific pattern for the experimental conditions, namely a linear pattern, we used

Linear Contrasts analyses with the two orthogonal contrasts C1 and C2 (which we thoroughly discuss in our response to the E1b comment). As mentioned in E1b, this approach is preferred to omnibus tests and post hoc comparisons because it offers greater statistical power. Moreover, in designing our studies, we conducted a priori power analyses for the tests of the main hypotheses based on a Contrasts analysis plan (and corresponding estimated effect sizes).

E2f. I am very confused in terms of how the analysis was done done in Study 3. You stated that “We conducted multinominal logistic regressions...” on line 870 but listed “crisis type as outcome variable (1 = relational crisis, 2 = financial crisis, 3 = no crisis...” on lines 872-875. You further reported findings in the first regression model and stated that “the probability to choose the relational crisis (versus no crisis) on lines 876 – 877 and further “the probability to choose the no crisis (versus final crisis)... on line 879. I am not sure how categorical variables can be numbered and entered in a regression model and why the reference group kept changing in the findings of the same regression model. Findings in Study 3 should be reported so readers understand what was done and can interpret the findings themselves.

We revised the presentation of the analysis in Study 3, in order to better clarify the steps conducted in the multinomial logistic regression. We agree that ordering the categories of the outcome variable “(1 = relational crisis, 2 = financial crisis, 3 = no crisis... on lines 872-875.” may have been confusing for the reader since the multinomial logistic regression is used when the dependent variable is nominal (meaning that the categories cannot be treated as ranks). We now also state explicitly that we conducted two multinomial logistic regressions.

This paragraphs now reads:

“We conducted two multinominal logistic regressions entering candidate gendered traits (-1 = agentic, 1 = communal candidates), candidate gender (-1 = male, 1 = female candidates), and their interaction as predictors, and crisis type as the outcome variable. In the first multinomial logistic regression, we specified the no crisis condition as the reference category. Thus, in this logistic regression model we were interested in the probabilities of choosing the relational crisis (versus no crisis), and, respectively, the financial crisis (versus no crisis), as a function of the predictors. In the second multinomial logistic regression, we specified the financial crisis condition as the reference category. This regression model informed us about the probability of choosing the relational crisis (versus financial crisis) and, respectively, the no crisis (versus financial crisis) situation, as a function of the predictors.” (p41, lines 934-944)

E2g. There are places that it’s quite difficult to follow/read. Please carefully read your manuscript and revise accordingly or seek editing services.

Reviewer #1:

1. Is the manuscript technically sound, and do the data support the conclusions?

R1.1.1 First, I would be cautious about drawing any conclusions--even negative conclusions-- from moderation analysis, as was done in Study 1, given the sample size. Roger Giner-Sorolla has a blog where he discusses in detail the specific problems of power analyses in moderation, and how GPower is not adequate.

Indeed, we agree that the sample size in Study 1 may not be big enough to adequately power the interaction effects involving the organisational role . We now acknowledge this limit when commenting on these effects (“Regarding our exploratory analysis of organizational role, no effect on the preference variables was shown but we cannot conclude that this variable does not have an impact, as our study did not have the power to test this effect decisively. ” p24, lines 548-550). Related to this issue, we specifically designed Study 2 to increase statistical power for the main effects that are of interest for us: “The main aim of this study was to replicate and extend the findings of Study 1 with a larger sample size based on a priori power analysis. Moreover, to increase power, we used a more simple design by fixing the participant organizational role to that of a leader (therefore not manipulating organizational role), and we provided only a list of four candidates to choose from (the fifth extreme agentic male candidate was not included).” (p25-26, lines 582-586)

R1.1.2 Second, I would also be cautious about using difference scores, as was done for leadership behaviors. In some literatures this is an accepted practice, however there are issues with this--for one example, see Cafri, van den Berg, & Brannick, 2010. Would it be a better practice to include communal and agentic traits/behaviors as separate mediators? PROCESS accepts this. If not, why not?

See our comment in E1c.

R1.1.3 Third, I did not understand the rationale for including Contrast 1 and Contrast 2 in the same analyses, nor how they were specifically related to Hypothesis 1.

See our response to comment E1b.

R1.1.4 Fourth, I did not understand the argument made on lines 972-986, specifically to how these results challenge explanations of the glass cliff. I didn't see anything in the Intro or the hypotheses that specifically opposed these explanations, if that is what was meant by "challenging." Or does this have do with using women to signal change? I would be wary about concluding that the "signalling change hypothesis" (to say) doesn't work. These results do not completely support it, but there is some support and that could be meaningful. On this point, however, I was not clear. I understood that Studies 2 and 3 assessed this "hypothesis" in different ways, but the implications of the conflicting results was not immediately clear. I think it could be worthwhile to set aside a small space in the discussion section to explicitly discuss this aspect.

This was indeed not what we meant. We replaced “challenge” by “add to explanations for the glass cliff.” :

“By investigating variations in crisis typology, our findings add to explanations for the glass cliff. Specifically, beyond extending past research that has identified motivating factors for the glass cliff which do not value women’s or communal competences [13,63], we investigated crisis contexts where stereotypically feminine qualities are perceived as an added value for leadership effectiveness.” (p45 lines 1046-1050)

We extended the reasoning on signaling change in Study 3 as follows:

“Participants were asked to evaluate candidates according to their potential to signaling change and then chose a suitable company context. Following this chronology, participants might not have viewed the potential to signal change in the context of the missions in the future workplace of the candidate. It may therefore be a better strategy to ask participants to match the candidate with a company, and then to outline their reasoning for their choice. “ p44-45, lines 1018-1024

And in the general discussion: “We tested this idea, with Study 2 showing an association of a motivation to signaling change with the choice of candidates in crisis contexts. However, this was true for both the choice of female and male candidates. In Study 3, we made a further attempt to establish a link to a signaling change explanation by asking participants to first rate candidates on their potential to signaling change, and then to attribute them to a company context. No conclusive results were revealed, probably due to the lack of meaning of the signaling idea if a candidate is not evaluated on the background of a specific (crisis-) mission. Future research should investigate whether what is understood by signaling change is understood in different ways for men and women. Moreover, a direct test of the impact of signaling change intentions could be performed by manipulating or priming participants with a mission to signaling change, with a consecutive measure of their leadership preferences in terms of gender. ” (p. 46 lines 1055-1066)

R1.1.5 Fifth, it seemed like the power analysis in Study 1 was introduced in between the treatment of Hypotheses 2 and 3. Did this also apply to Hypotheses 1 and 2? If they did, it was not immediately clear what the power analysis said about the results from H1 and H2, particularly because the power analysis was presented in terms of Odds Ratios but the results were presented in terms of betas.

This point was addressed in our response to Comment E2b.

R1.1.6 Sixth, there are many references to the glass cliff but I do not recall seeing an explicit explanation of what the glass cliff actually is.

We extended the explanation p3 (lines 58-65) which now reads: “The “glass” metaphor refers to the subtle discriminatory nature of this phenomenon as precarious appointments are more likely for minority groups. Moreover, these subtleties can obscure the reality of discrimination for a specific individual, as the phenomenon only becomes visible by considering several cases in aggregate. The “cliff” metaphor also relates to the fact that precarious positions likely expose occupants to more scrutiny and criticism, and higher levels of stress, in addition to the risk of failure, with serious consequences for their careers [12].”

R1.1.7 Seventh, I did not see a satisfactory explanation, or a potential explanation, for why there was a role for leadership behaviors but not leadership traits in Study 1. The explanation on lines 528-530 was not clear.

We added the following reasoning:

“Unexpectedly, the type of crisis did not significantly affect the ratings of relevance for communal traits. Thus, H3 was not supported for the trait dimension. The reasons for this inconclusive result could be a lack of power. However, a theoretical explanation may be that a relational crisis could be solved by anyone who uses the right style of leadership, i.e. communal behavior. Learned communal behaviors may be perceived by participants as more flexible, capable of being exhibited by anyone, be they female or male when it is relevant, as in a relational crisis. In contrast, communal leadership traits may be deemed by participants as more likely inherited, attributed to internal characteristics, more stable, and therefore potentially more strongly associated to women than men, with a chosen leader less agile to adapt to changing situations.” (p.24-25, lines 556-566,)

R1.1.8 Eighth, I did not understand the point or implications of the analysis described on lines 502-504.

We only put this analysis to give a complete picture. But as this does not test any hypothesis we moved it from the paper to Supporting information.

R1.1.9 Ninth, I did not understand the reference to "competence ratings" or the consequent implications on lines 538-540.

This passage was indeed not clear. We corrected it to the following:

“Our present research suggests that participants focused on a candidate’s match with behavioral expectations (communal behavior) as a remedy for a relational crisis. Thus, communal behavior may be judged to be a learned “competence” to actually change the situation. Yet, communal leadership expectations may be only weakly or partially related to the choice of a female candidate.” (p25 lines 574-578)

R1.1.10 Tenth and finally, I was not convinced by the rationale to exclude participants who chose the extreme agentic candidate in Study 1. Authoritarian, tough, and competitive would not describe my preferred candidate but others may prefer this style--in any case, I didn't think that it is an obviously wrong choice that should be excluded.

As explained in E1a we now present analyses including this candidate. Results have not changed following this inclusion.

2. Has the statistical analysis been performed appropriately and rigorously?

--I don't have any specific issues besides things I've mentioned above, particularly with use of difference scores. Is this a common feature of this specific literature? I would feel more comfortable, given the problems in difference scores, if they were not used or, at least, a convincing argument was made for their necessity.

See E1c. We now present separate analyses for each dimension.

4. Is the manuscript presented in an intelligible fashion and written in standard English?

R1.4.1 First, it was a bit difficult to read in places. I think it would benefit from having the hypotheses put into their own specific section. The hypotheses were not complex but at times I had trouble keeping track of them and how they related to the results.

We added a section heading “Hypotheses” in line 228 and we placed H1 and H2 in the subsection “Leader preferences” (line 229) and H3 in “Mechanism” (line 267).

R1.4.2 Second, I think the manuscript could benefit from another pass of the language; there were numerous little passages throughout that, after awhile, made it difficult to read. For example, I had trouble with lines 132-133.

This was indeed not very clear, we rephrased the passage as followed:

“Following this idea, an experiment by [13] (Study 1) investigated whether the male-manager association holds in a crisis situation, and demonstrated that while this link holds in a healthy company context, people associated feminine traits with leadership in a crisis context. Thus, an underlying motivation for the choice of a woman may be that her gender is associated with “communal” leadership deemed more effective in the given situation. The choice of a woman could thus be in the “best interest” of the ailing company’s functioning, with the chosen woman being expected to effectively change the situation due to her competencies. ” p6 lines 136-143

Moreover, an English native speaker who knows the domain of the glass cliff proofread the entire paper to strengthen clearness.

R1.4.3 Third, in some places (e.g., 855-856), the means and standard deviations were separated rather than being paired. This was confusing and honestly just kind of weird. Is there a reason why they cannot be paired?

We corrected this and put them in pairs.

Despite my perhaps negative tone in places I thought that this was a fascinating paper that has a lot to add to the literature.

We thank you for your thorough reading and relevant comments to our work which hopefully helped us to produce a clearer version of our manuscript.

Reviewer #2:

I appreciated the different designs across studies (e.g., within and between subjects) to test the hypotheses multiple ways. These designs also helped to compensate for particular flaws in any one study (e.g., lack of manipulation checks and counterbalancing candidate profiles in Study 1) and replicate the effects, even testing them across different cultures. I provide a few comments/suggestions below.

R2.1. When on pg. 8 the authors note that they are expanding on past research by investigating “gendered traits simultaneously with information on candidates’ gender” rather than in isolation, I assumed they would be looking at the interaction of these two factors. Yet, aside from Study 3’s nonsignificant interaction, no mention was made of this in terms of predictions or results. Is there a reason to predict that gender and gendered behavior would interact with each other? These data seem to have the capacity to test for this effect (that is the benefit of including both variables in the same study design) rather than looking at each individually.

We did not expect any variations in preferences of different combinations of candidate traits and gender across the different crisis types. So for example, we do not know a reason to believe that communal men should face more backlash in one crisis condition than in another. Thus, we did not formulate any hypotheses in this sense. Having all in the same design allowed us to control for different combinations of traits and gender. The only way of testing such differences would be to oppose the choice of single candidates, e.g. compare the agentic with the communal male, but then the analysis would only consider one part of the design which will bias the estimates of the effects. We opted for the design of Study 3 to have one direct exploration of the potential effect of an interaction. Future research could more specifically focus on an interaction hypothesis.

R2.2. It is obvious from the graphs that both agency and communion are relevant to these leadership contents, although differences between conditions are tested using a difference score. In most cases, these average difference scores were negative, which means that even in the relational crisis in Study 2 agency was rated higher than communion (although this difference is less than in the other conditions). Thus, I would caution the authors not to make claims that imply that only communal traits are important in certain contexts – it appears that both types of traits are important. The difference between the ratings varies, but that difference could have stemmed from changes in agentic traits as well as communal traits so a difference in the means isn’t that informative unless you can also see the graph to visually (but not statistically) see what ratings are changing across conditions. If the authors want to make claims about the absolute value of the agentic or communal demands of the position, they may want to rather test for difference within each trait separately. Otherwise, any summary of the results and conclusions should make it clear that it was the difference between the traits or leadership behaviors that varied across conditions (and that agency was almost always rated higher than communion).

This is an important point. In order to be clearer, we report the two dimensions separately, communion in the main paper and agency in the Supporting information. The reason why we only focus on communion is explained in our comments to E1c.

R2.3. I would have like more discussion of cultural differences and similarities across the studies, and what that means for choosing leaders in crisis situations, in the discussion section.

We only dared to advance one point touching on potential cultural differences. As we have also a variation in sample type (students versus workers), we do not wish to go much further.

“It is of interest to note that despite a stronger preference for female CEOs in crisis than no crisis contexts, overall male CEOs were preferred in Study 1 in a Spain sample. In Study 2 with a US sample, no main effect of gender was observed, suggesting that in this context, female leadership has potentially become a more accessible, or acceptable concept. In the corporate world, relatively few women are found in top leadership positions, and particularly in Spain, management is still perceived as less compatible with female gender compared to other European countries and the United States of America [65].” (p 47, lines 1067-1082)

R2.4. How were the communal and agentic leadership behaviors chosen? Is there evidence (e.g., outside ratings or manipulation checks) that these are agentic behaviors? They are noted as task-oriented behaviors, but don’t strike me as particularly agentic - delivering on a goal or meeting an objective would look different based on what the goal or objective is.

Following the treatment of communion and agency as two independent measures (instead of difference scores) we had to reformulate our Hypotheses and came to the conclusion that we cannot make clear predictions for agency. Thus, only communion is considered in the present article. In future studies, we will reconsider your comment as concerns the content and interpretation of the agentic behavioral dimensions.

R2.5 On pg. 38, now that the dependent variable has switched to one of three contexts, be careful how you talk about the results – saying that “female candidates were preferred by 53.7% of participants in the relational, 48.2% in the financial crisis, and 36.4% in the no crisis condition” doesn’t seem to make sense in this case, when there were no relational, financial, and crisis conditions but instead participants selected between these positions.

We agree with your comment that given the design of Study 3 and the analyses that we conducted, presenting those percentages may be confusing and not particularly relevant. We inserted a Table 3 (p 42) in which we present all the percentages for crisis type choice as a function of candidate gendered traits and gender.

We thank you for your thorough reading and relevant comments to our work which hopefully helped us to produce a clearer version of our manuscript.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

I-Ching Lee

9 Nov 2020

PONE-D-20-16233R1

Contextualizing the think crisis-think female stereotype in explaining the glass cliff:

Gendered traits, gender, and type of crisis

PLOS ONE

Dear Dr. Kulich,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

I have received comments from two previous reviewers and I share their view that the revised manuscript is very much improved. We, however, have some suggestions for the authors and would hope that the authors could incorporate these suggestions in the manuscript. In addition to the reviewers’ suggestions (also see the attached file), here are my suggestions.

  1. I would suggest taking out the term “linear” in the hypotheses and text. The authors were comparing three conditions which are categorical. Thus, to suggest that the differences between conditions were linear seem a distraction to me without evidence that could be used to substantiate the claim. For example, in testing H1, the percentages of participants to select communal leaders the three conditions are 50% (relational crisis), 38.5% (no crisis), and 27.2% (financial crisis). The differences between the conditions were not equivalent so I am not sure how you could say that this effect is linear (I suspect that the authors use the linear effects implicit assumption in regression models and treat the evidence as if it is actually linear). If the authors disagree, please provide results that compare linear effects with other types effects (e.g., curvilinear, cube, etc.).

  2. Please include post-hoc comparison results in the tables so readers could read from the tables whether the numbers reported between either two conditions were significantly different.

  3. Please help readers understand why the roles expectations are important (imagine themselves to be leaders or employees) in the investigation of the glass cliff phenomenon and how this variation may have affect the hypothesized effects (or not). Are the candidates all expected to fill a leader’s role?

  4. Fig 1 on p. 22 was missing (only figure caption shown)

  5. Please revised the first sentence under the mediation analysis on p. 22. Shouldn’t it be communal behaviors rather than communal traits as the gendered traits did not have expected pattern in the above section.

  6. In studies 2 & 3, please specify the design before going details regarding the procedures. I am confused because the company performance (poor or strong) did not seem to be considered in the design.

  7. The information with regards to how participants got the manipulation check items wrong on p. 40 could be moved to the participant section when you specify who were excluded.

  8. Please provide the manipulation materials in the appendix.

Please submit your revised manuscript by Dec 24 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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We look forward to receiving your revised manuscript.

Kind regards,

I-Ching Lee

Academic Editor

PLOS ONE

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

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Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: I Don't Know

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: (No Response)

Reviewer #2: The authors have addressed the comments from the first version of the manuscript. I have only a couple of minor points:

If the odds ratio is noted at "eb", I would suggest the authors indicate this somehow as it is otherwise difficult to compare the power analysis to the results.

Confidence intervals were not consistently given for all results.

**********

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Attachment

Submitted filename: PONE Comments to Author.docx

PLoS One. 2021 Mar 2;16(3):e0246576. doi: 10.1371/journal.pone.0246576.r004

Author response to Decision Letter 1


19 Nov 2020

EDITOR COMMENTS

1. I would suggest taking out the term “linear” in the hypotheses and text. The authors were comparing three conditions which are categorical. Thus, to suggest that the differences between conditions were linear seem a distraction to me without evidence that could be used to substantiate the claim. For example, in testing H1, the percentages of participants to select communal leaders the three conditions are 50% (relational crisis), 38.5% (no crisis), and 27.2% (financial crisis). The differences between the conditions were not equivalent so I am not sure how you could say that this effect is linear (I suspect that the authors use the linear effects implicit assumption in regression models and treat the evidence as if it is actually linear). If the authors disagree, please provide results that compare linear effects with other types effects (e.g., curvilinear, cube, etc.).

We can see your point, and we agree that the term “linear” may lead to confusion as we refer to three categorical conditions. In the literature theorising the Contrast analysis approach, a linear trend among three conditions does not actually make the claim that a straight line fits perfectly the relation between the independent and the dependent variables. A linear trend is tested by considering together the two orthogonal contrasts, in our case, the C1 and C2. The C1 alone tests only the difference between the two extreme conditions: for instance, between relational crisis versus financial crisis. The C2 (which is called the “quadratic trend”), informs us whether the condition in-between is positioned in such a way as to more closely represent a linear trend as opposed to a quadratic trend. In order to be able to conclude that the three conditions depict a linear trend, the C1 should be significant and the C2 should not. The C2 not being significant means that the in-between condition is not significantly distanced from the middle point between the extreme conditions, hence a trend that is close to a linear one. If C2 was significant, this would imply that the in-between condition was closer to one of the extreme conditions, meaning that the differences between the conditions are not equivalent. However, we recognise that for a reader not familiar with this approach and terminology, the term linear will be misleading. We thus followed your recommendation and deleted, or replaced, the term “linear” in the entire manuscript (e.g. “In Hypothesis 2, which concerns gender, we thus also predicted a progressive pattern” (p12, line 263) ; “For communal leadership behavior, path ‘a’ showed a positive incremental effect of financial crisis - no crisis - relational crisis (C1) on communal behavior “ (p23, line 520)). We hope that this strategy has clarified our reports.

2. Please include post-hoc comparison results in the tables so readers could read from the tables whether the numbers reported between either two conditions were significantly different.

We do not report post-hoc comparisons in the article as this does not correspond to our analysis plan. The decision to use the Contrasts analysis approach was guided by two main points: the expected trend among our three conditions and the increased statistical power offered by contrast testing as opposed to omnibus tests and post-hoc comparisons. Thus, we powered our studies (in terms of sample sizes) based on this analysis plan. This means that any post-hoc comparisons will be underpowered. However, we do understand that the reader may be interested in having these analyses as well. We thus now provide two tables with post-doc comparisons in the Supporting information (Tables S1 Table and S3 Table).

3. Please help readers understand why the roles expectations are important (imagine themselves to be leaders or employees) in the investigation of the glass cliff phenomenon and how this variation may have affect the hypothesized effects (or not). Are the candidates all expected to fill a leader’s role?

Candidates in all three studies were expected to fill a leadership role.

As concerns participants, in Study 1 we manipulated their role, by asking them to think about themselves as a leader or an employee. In Studies 2 and 3 participants, who were employed themselves in real life, were asked to put themselves in the shoes of someone who needs to do the best for the company in terms of focusing on appropriate functioning. The exact formulation was: “You will then be asked to evaluate these candidates and choose the one who is best suited to ensure appropriate functioning of the company.” and then “Please select the candidate whom you consider to be the most suitable for this position at Jefferson's.” We believe that this instruction made people act in the interest of the company and not in their own interest (be they leaders or employees in real life).

We believe that glass cliffs should occur when people are being put in a decision maker’s position, which we now clearly state in the paper:

“As the recruitment for leadership positions is usually done by decision makers with managing functions in companies, rather than employees, the angle of the decision maker perspective is more likely to be source of glass cliffs decisions. Moreover, the potential motivations for glass cliff decisions discussed here also take the perspective of those in charge of hiring. Thus, in the present research we asked participants to focus primarily on this role.” (p14, lines 320-325)

As we argue on pages 13-14, employees may have distinct motivations. However, we did not make specific hypotheses concerning the choice of a leader. This part was very explorative.

4. Fig 1 on p. 22 was missing (only figure caption shown)

We added both figures in the manuscript. (Sorry, we thought we only needed to upload them as separate files.)

5. Please revised the first sentence under the mediation analysis on p. 22. Shouldn’t it be communal behaviors rather than communal traits as the gendered traits did not have expected pattern in the above section.

Thank you for pointing out this error. We have replaced traits by behavior.

6. In studies 2 & 3, please specify the design before going details regarding the procedures. I am confused because the company performance (poor or strong) did not seem to be considered in the design.

We moved the study design to the top of the Procedure sections for both Studies 2 (p28, line 633) and 3 (p40, line 904).

The no crisis condition is the “strong” and the two crisis conditions are the “poor” conditions and we realize that this has not been made explicitly clear to the reader. We now write in Study 2 “Company performance was presented as either poor or as strong (hereafter between brackets). Poor performance was presented for the two crisis conditions and strong performance for the no crisis condition.” (p28, lines 638-640)

7. The information with regards to how participants got the manipulation check items wrong on p. 40 could be moved to the participant section when you specify who were excluded.

Thank you. Indeed this part fits better in the participant section to which we have moved this part.

8. Please provide the manipulation materials in the appendix.

We created an appendix with all manipulation materials.

Please note: Doing an exact translation of the Spanish materials from Study 1 I got aware of some imprecisions which I corrected in the manuscript’s method section of Study 1.

Reviewers' comments:

R2.1 If the odds ratio is noted at "eb", I would suggest the authors indicate this somehow as it is otherwise difficult to compare the power analysis to the results.

Confidence intervals were not consistently given for all results.

We added a note in the article indicating that “eb” represents the odd ratio (line 455).

We added CIs to all logistic regressions in Studies 1 and 2.

R1.1. Lines 394-395:

The authors wrote: "He was described with extreme, unmitigated agentic traits that included negative content (e.g., authoritarian, tough, competitive; see [55]), aiming to disqualify him by this unsympathetic description."

I'm not sure if the Helgeson (1994) reference cited here is very relevant. It talks about agency and communion in men and women and how it relates to their own well-being, and not how they are perceived by others, if I understood it correctly. Granted this was the least popular category, but I'm not sure if this is the best reference to support this.

Thank you for spotting this. We replaced the reference by Abele & Wojciszke (2007).

R1.2. Line 464:

The authors wrote: "The in H2 expected linear effect of..." Typo?

We rephrased as follows: “The effect of crisis type C1 that was expected in H2,...” (p21, line 471)

R1.3. Lines 562-566: "In contrast, communal leadership traits may be deemed by participants as more likely inherited, attributed to internal characteristics, more stable, and therefore potentially more strongly associated to women than men, with a chosen leader less agile to adapt to changing situations.”

I'm wary about the perception that these traits are inherited. We speak about psychological traits, but would people think that something like communality is literally inherited? I think that it would be enough to say that communal traits are likely perceived to be internal and stable.

Thank you for spotting this imprecision. We have rephrased this sentence as follows:

“In contrast, communal leadership traits may be attributed by participants to internal characteristics and considered as more stable, and therefore potentially more strongly associated to women than men, with a chosen leader less agile to adapt to changing situations. ” (p25, line 571)

R1.4. Lines 776-779: The authors wrote: "For leadership behavior, path ‘a’ showed that the linear effect of relational crisis versus no crisis versus financial crisis (C1) was related to more communal behavior (B = 0.40, SE = 0.08, p < .001, 95% CI [0.23, 0.56]), and more communal traits (B = 0.21, SE = 0.06, p < .001, 95% CI [0.09, 0.34]."

Would it be more correct to refer to preference for, or relevance of, communal behavior/traits, instead of "more" communal behavior/traits?

Thank you, we have corrected it to “For leadership behavior, path ‘a’ showed that the incremental effect of financial crisis - no crisis - relational crisis (C1) was related to higher relevance ratings of communal behavior (…)” (p35, 787)

R1.5. Lines 805-815: The authors didn't find support for a mediating effect on the relationship between crisis type and candidate gender preference. I had two comments. First, is it possible to see the actual results for the mediation, above knowing that it was not significant? Second, would it have been consistent with the authors' hypotheses to test for the mediating role of signalling change on the relationship between crisis type and preference for communal vs. agentic leader?

First: We have added the statistical indicators. “The mediation effect was not significant (B = - 0.01, SE = 0.03, 95% CI [-0.08, 0.06]). Thus, although signaling change was associated more with candidates chosen in both crisis contexts (path ‘a’: B = 0.36, SE = 0.04, p < .001, 95% CI [0.27, 0.44]), it was not specifically more associated with the choice of a woman (path ‘b’: B = -0.03, SE = 0.09, p = .775, 95% CI [-0.21, 0.16]).” (p36-37)

Second: No in the glass cliff literature the signaling hypothesis concerns the visible replacement of a male by a female (or a White by a Non-White) leader. When we look at trait quality this points more towards the actual qualities of a person, their way of leading, and this would be predicted to be explained by the relevance ratings of leader qualities (see mediation analysis in the paper).

We describe in this letter results if mediation was tested for signaling change for the candidate choice in terms of their gendered traits: The mediation effect was not significant (B = - 0.03, SE = 0.02, 95% CI [-0.07, 0.006]). Signaling change was associated more with candidates chosen in the relational than no crisis context (path ‘a’: effect of C1 B = -0.20, SE = 0.04, p < .001, 95% CI [-0.28, -0.12]; C2 which compares the no crisis to the two crisis contexts was also significant: B = -0.51, SE = 0.04, p < .001, 95% CI [-0.65, -0.37]). Signaling change was not associated with the choice of a communal candidate (path ‘b’: B = 0.16, SE = 0.10, p = .119, 95% CI [-0.04, 0.36]).”

R1.6. Lines 819-822:The authors wrote: "However, while the financial crisis was the least preferred condition for communal candidates (consistent with H1), the no crisis condition was the least preferred for female candidates (consistent with H2)."

I don't have an issue with the info presented here, but I though that the wording was a bit awkward. In particular, I suspected following "However, while..." that the authors would present some contradictory findings, instead of stating that there hypotheses were supported.

We did not intend to express contradiction, so we aligned it with your suggestion: “As expected, while the financial crisis was the least preferred condition for communal candidates (consistent with H1), the no crisis condition was the least preferred for female candidates (consistent with H2).” (p37, line 832)

R1.7. Lines 990-996: It wasn't entirely clear what was being analyzed here. In particular, I had trouble understanding "an organizational context for which the importance of the communal leadership behavior was stronger compared to the match for agentic candidates". Is this the relational context?

We rephrased the sentence to make it clearer. This part now reads:

“The perceived relevance of the communal behavior was higher for the type of crisis matched to the communal candidate (M= 5.82, SE= 0.10) compared to the one matched to the agentic candidate (M = 5.24, SE = 0.10).” (p45, line 1006)

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Decision Letter 2

I-Ching Lee

22 Jan 2021

Contextualizing the think crisis-think female stereotype in explaining the glass cliff:

Gendered traits, gender, and type of crisis

PONE-D-20-16233R2

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Acceptance letter

I-Ching Lee

19 Feb 2021

PONE-D-20-16233R2

Contextualizing the think crisis-think female stereotype in explaining the glass cliff:  Gendered traits, gender, and type of crisis

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