Skip to main content
PLOS One logoLink to PLOS One
. 2024 Jul 11;19(7):e0305477. doi: 10.1371/journal.pone.0305477

Measuring Strong, Skillful, Good and Transpersonal Will: The development of the Multidimensional Will Scale

Andrea Bonacchi 1,2,*, Georgia Marunic 3, Carlotta Tagliaferro 3, Rebecca Boschi 4, Chloe Lau 5, Francesca Chiesi 3
Editor: Yansong Li6
PMCID: PMC11239019  PMID: 38990857

Abstract

Background and objective

This cross-sectional study aimed to provide a scale to assess different aspects of the will based on Roberto Assagioli’s theory.

Methods and results

The scale development followed three steps. Step 1 focused on operationalizing the construct and developing the items. It was carried out through several phases of item generation and refinement, resulting in a pool of 38 items. At Step 2 we tested the psychometric properties of the initial 38-item scale with the goal of excluding the items that weakened the structural validity and reliability of the scale. Descriptive, internal consistency, and exploratory factor analyses statistics were computed on a large sample (Sample 1: N = 587; age: M = 21.55, SD = 4.14, 66% female) and they led to a five-dimension model (Strong, Skillful, Good toward Self and Other, and Transpersonal Will) and the exclusion of 15 items. Analyses conducted at Step 3 on a different sample (Sample 2: N = 683; age: M = 34.09, SD = 16.27, 54% female) allowed for further refinement of the scale. Confirmatory factor analysis conducted on the resulting 19-item scale showed a good fit for the five-factor model (χ2 (142) = 507.63, p< .001, TLI = .91; CFI = .93; RMSEA = .06 [90%CI: .06‒.07]), and evidence of its invariance across genders and ages was provided. Reliability indices (internal consistency and intraclass correlation coefficients) were adequate (ranging from .66 to .83) and correlations with measures of related constructs supported the external validity of the scale.

Conclusion

This study provides researchers, therapists, and counselors with an efficient measurement tool to assess Assagioli’s construct of will.

Introduction

The will has been a subject of widespread appeal that has fascinated philosophers and scholars over time from different disciplines like social sciences, psychology, and neuroscience. Indeed, the significance of voluntary acts and behaviors enables scholars to understand the driving force behind people’s choices and commitment to action. Over time, numerous attempts have been made to define and discern between different conceptualizations of the will, such as willpower [1], ego strength [2], self-regulation and action control [3], self-control [4]. Alongside these theoretical approaches, in the second half of the last century, the Italian psychiatrist Roberto Assagioli developed a broad conceptualization of the will. In his work “The Act of Will” [5], he describes it as the psychological ability through which we regulate the expression of motivational drives (instincts, needs, values, emotions, etc.) in actions, attitudes, and behaviors. The will arises when people are facing an obstacle and enables them to confront it decisively, but also during periods of calm when there is a need to think over and make a decision.

According to Assagioli’s theory, a fully developed will has some fundamental features: the Strong Will, the Skillful Will, the Good Will, and the Transpersonal Will. These aspects are linked to self-regulatory and action-control functions, particularly the first three which are related to the Personal Self. Every aspect of the will can be trained and Assagioli proposes a series of practices for this purpose. Specifically, Strong Will refers to a physical or mental effort made to overcome a hurdle or to reach a goal, and it drives people to act and persist. Skillful Will concerns the ability to achieve desired results with minimal effort, the capacity to develop the most effective strategy, to foresee the consequences of one’s actions, and is based on knowledge and control of oneself and the principles underlying one’s psychological functioning. Good Will is necessary to direct actions for the sake of good and it includes regulating and selecting goals consistent with one’s well-being but also acting with empathy and prosocial behaviors to achieve right and balanced outcomes. The Transpersonal Will concerns the union with a higher self and needs that transcend the material world (i.e., the need to feel in unification with a higher force that completes one’s existence), and it may be related to a person’s spirituality or religious beliefs.

Linked to the different theories of volition that have been proposed [e.g., 1–4], different assessment scales were developed (e.g., the Volition Components Inventory [6] and the Self-Control Scale [7]). Since, to the best of our knowledge, there are no validated instruments to measure the will according to Assagioli’s model [5], the present study aims to develop a tool to assess the above-described conceptualization of will in line with the growing need to provide operationalized and empirically supported definitions of constructs from psychodynamic, humanistic, and transpersonal psychology [810]. Moreover, considering that the will could be trained and strengthened, the development of a quantitative measure can be helpful in clinical and counseling interventions. Starting from the operationalization of Assagioli’s theoretical conceptualization of the will and its aspects, several items were developed (Step 1). Investigating the psychometric properties of each item and the whole scale, the most suitable items were selected to maximize the reliability and validity of the instrument (Step 2) and then a second study was conducted to confirm the psychometric properties of the resulting scale (Step 3) that was named the Multidimensional Will Scale (MWS).

Step 1: Initial development of the MWS

The scale development consisted of the following phases.

Operational definition and item formulation

The starting point for the development of the MWS was to provide an operational definition of Assagioli’s theoretical conceptualization of the will and its facets. The research team involved five experts with training in psychosynthesis from the Italian Institute of Psychosynthesis. A good definition of the construct and its components ensures that the items can adequately reflect them [11]. Therefore, with the help of content area experts, a brief description of the five aspects of will based on Assagioli’s [5] theorization was prepared and discussed during group meetings taking into account the potential use of the measure. Experts shared ideas on the type of item content that best represents each will facets. All experts agreed on splitting the Good Will aspect into Good Will toward Ourselves and Good Will toward Others. Assagioli emphasizes the importance of Good Will for the well-being of others as well as our own. To correctly display these two not mutually excluding facets, it was decided to consider them as two separate dimensions.

Thus, the operationalizations for each aspect of the will were agreed upon as follows. Strong Will is the impetus that drives people to act and makes them determined to persist and can be conceptualized as the physical or mental effort made to overcome a hurdle or to reach a goal. Skillful Will is the ability to achieve desired results by developing the most effective strategies, foreseeing the consequences of one’s actions, reducing one’s efforts, and using knowledge and control of the principles underlying one’s psychological functioning. Good Will toward Self is required to regulate and select goals consistent with one’s well-being and to be guided by self-love, while Good Will toward Others is the will acted with brotherly and altruistic love and requires empathy and prosociality. Thus, it contributes to achieving a suitable outcome for oneself considering, at the same time, the impact of the implemented actions on other people. Finally, Transpersonal Will concerns the union with a higher self and needs that transcend the material world, and it may be related to a person’s spirituality, but not necessarily to religious issues.

Each expert was asked to submit, in written form, a list of at least five items per dimension. Then, a group discussion was made to select the item that better represented Assagioli’s definition of the will, to merge similar items or choose the best one among them. Eventually, 50 items were retained.

Item refinement and response format choice

Three psychology academics trained in psychosynthesis who were not involved in the item generation were asked to examine the 50-item list. Seven items deemed ineffective, vague, or lengthy were excluded. Five items considered too similar were merged or rephrased to give an effective formulation to each one of them [12]. The 38 selected items were again evaluated for clarity and appropriateness concerning each of the five starting dimensions. Items were deemed adequate. The instruction section was formulated and the response format chosen. Following Cox’s [13] recommendations, the five-option response scale (from 1 = Never to 5 = Always) was opted for as it offers sufficient variety without overloading respondents with excessive response options.

Content validity

The preliminary 38-item version of the MWS was presented to 10 experts in psychosynthesis from the Italian Institute of Psychosynthesis. They were introduced to the new operationalization of the will construct and the general aim of the study, and then asked to rate the item relevance on a 3-point scale (from 1 = no relevance to 3 = high relevance) and to assign them the dimension to which they believed each item pertained. Moreover, for each item, a space was left for comments or suggestions. This type of procedure is followed to ensure content validity [14]. The criterion adopted for item deletion was receiving an-average rating <2 and an assignment to the supposed dimension in less than 75% of the evaluations. For all items, the relevance mean value was above the cut-off level and the correct dimension was identified in 87.5% to 100% of the cases. Finally, the experts’ notes suggested minor adjustment to the item wording. The resulting MWS consisted of 38 items rated on a 5-point Likert scale and referring to five dimensions: 7 items were developed to assess the Strong Will (e.g., " Obstacles motivate me to do more."), 6 items the Skillful Will (e.g., "Before doing something important I think about its consequences over time."), 11 items the Good Will toward Self (e.g., "I am committed to protecting and caring for myself."), 8 items the Good Will toward Others (e.g., "When I act, I keep in mind the welfare of others."), and 6 items in the Transpersonal Will (e.g., "In my choices I take into account profound and spiritual values."). The original item pool is reported in Appendix A.

Step 2: In-between phases of the development of the MWS

The present study tested the psychometric properties of the items and the entire scale with the aim of consolidating the reliability and structural validity of the MWS by excluding some items.

Method

Participants

The instrument was administered to 587 Italian adults ages 18 to 61 years (Mage = 21.55, SD = 4.14). Approximately 66% of participants identified as cisgender women, 33% as cisgender men, and 1% preferred not to say. The majority were students (91%) from a large university in central Italy.

The sample size was established referring to the requirements to develop a scale through factor analysis that depends on the number and type of the items, the extent of correlations between items in the population, average commonality, the number of factors, and the stability of the factor structure [15]. At this initial stage this information was unknown except for the initial number of items and the hypothetical 5-factor model derived by the theoretical background. Thus, as suggested by the literature as a rule of thumb, a minimum 500 or more cases can assure the stability, reliability, and replicability of a factor solution [16,17].

The study received the approval from the Ethics Committee for Research of the University of Florence as a part of a larger research project (Opinion No. 31, July 23, 2018). The participants were recruited, provided with study information, and asked to sign a written consent form. All participants took part in the study anonymously and voluntarily as no incentives were offered. The criteria for ineligibility were minor age and lack of informed consent.

Measure and procedure

Data were collected in paper and pencil format. Participants were asked to fill in a brief socio-demographic form and the 38-item version of the MWS described above. To investigate the temporal stability of the scale, a subsample of participants (N = 228; 39% of the original sample) completed the MWS again in a four-to-five-week interval. This time interval was deemed appropriate because the measure refers to trait-like attributes. Since a trait has high stability, no significant changes were expected during this period [18].

Analyses

Prior to conducting the analyses, the missing values in the data were examined. For each item, the percentage of missing answers was calculated to check that they did not exceed 10% of the total answers. Listwise deletion was performed when there were >10% of missing answers; otherwise, the arithmetic mean of each item replaced the missing data [19]. All data analyses were performed on JASP for Windows software, version 0.16.4 [20].

The psychometric properties of the items were assessed by computing descriptive statistics (mean scores, standard deviations, skewness, and kurtosis). When developing a new measure, a key feature of the items is to produce as much score variance as possible, ideally assuming a normal distribution form. Accordingly, the ones with skewness and kurtosis values below 1 were selected, as items closer to 0 are more likely to have a normal distribution, the basic assumption for most statistical analyses [21]. Furthermore, items closer to the mean value were kept as they convey more information and avoid respondents with a tendency to select endpoint rates [11].

Additionally, a series of Exploratory Factor Analyses (EFA) were carried out until a satisfactory structure was reached. To assess the suitability of the data for factor analysis, the Kaiser-Meyer-Olkin (KMO) test and Bartlett’s test of Sphericity were computed. KMO values above .80 and a significant Bartlett test prove sampling adequacy. To determine the number of factors to retain, we performed a principal component (PC)-based parallel analysis (i.e., we selected factors with their eigenvalue greater than the parallel average random eigenvalue) together with the scree plot derived from the EFA based on principal axis factoring (PAF) extraction method. When factor analysis is supported by a theoretical model as in the present study, the combination of the two methods guarantees an optimal approach to factor selection [22] and it allows for avoiding the overestimation of the number of factors [23]. Additionally, while parallel analysis based on PC is used to reduce the number of variables by maximally preserving information from the original dataset [24], EFA based on PAF is preferred for the representation of the underlying latent construct [25]. The minimum item loading of .30 was considered for item retention [26] and for identifying cross-loadings [23]. Thus, the items with higher factor loadings were selected, and those with cross-loadings were excluded from the questionnaire. Then, the EFA with a fixed number of factors was performed several times to select items with greater loadings for each factor and determine the more suitable number of items for each factor.

The reliability of each dimension was assessed using Cronbach’s Alpha (α) and McDonald’s Omega (ω) coefficients for internal consistency with a relative 95% confidence interval. Values below .70 are considered unacceptable (.70 ≤ α .79 fair; .80 ≤ α ≤ .89 good; α ≥ .90 excellent) [27,28]. To determine the item’s contribution to internal consistency, Alpha and Omega values were taken if the item dropped, while the item-total correlation value was taken as a measure of informativeness. The combination of these two indicators guided the choice of item deletion.

Thus, item selection was conducted by excluding items with poor variability, items that do not clearly contribute to measuring the construct dimensions, and to the reliability of the scale. After the item selection, EFA was repeated followed by internal consistency analyses for each dimension of MWS. The reliability was assessed also by test-retest analysis. Specifically, the intraclass correlation coefficient (ICC) was computed using a two-way mixed model based on absolute agreement with a single measure. Values less than .60 are indicative of poor reliability (.60 ≤ ICC ≤ .75 moderate, .75 ≤ ICC ≤ .90 good, and ICC ≥ .90 excellent) [29].

Results

After examining the missing values, no cases were deleted because of more than 10% of missing responses. For each item, missing responses ranged from 0 to 6 (0% - 1%), thus they were replaced by the mean value of the respective item. Then, item selection and scale refinement followed several phases based on descriptives, exploratory factor analysis, and reliability indices.

Item descriptive

All response rates (range 1–5) were selected. The lowest mean item scores were obtained on IT7 (M = 1.91, SD = 1.11), and IT16 (M = 1.78, SD = .96). The absolute value of skewness ranged from .01 to 1.25, and from .01 to 1.10 for kurtosis, suggesting that IT7 (Sk = 1.12), IT16 (Sk = 1.25, Ku = 1.06), and IT27 (Ku = -1.10) deviated from normality. Thus, the preliminary analysis produced the drop of IT7 (“I would like to transcend my human limitation through union with someone, something greater and higher”), IT16 (“I perceive a contrast between my will and a greater will of a spiritual type”), and 1T27 (“I recognize that there is a will higher than the personal will, however, it is called: destiny, providence, etc.”). Detailed descriptive statistics are available in Supporting information (S1A Table).

Exploratory Factor Analysis (EFA)

The first EFA was conducted on the 35 items of the MWS. The KMO = .82 indicated that the strength of the relationships between the items was fair. Bartlett’s test of sphericity was significant (Bartlett’s χ2(df = 595) = 7375.04, p < .001), and indicated acceptability to proceed with the analysis. Consistently with the theoretical model, results from parallel analysis suggested five components to be retained, whose eigenvalues ranged from 6.11 to 1.67. Scree test analysis confirmed a five-component solution (see Fig 1) which accounted for 40% of the total variance. Four items (IT18, IT21, IT29, and IT31) showed loadings lower than .30 and were deleted. Thus, the factor analyses for a 31-item solution and with the number of factors fixed at five was repeated. From an item-selection perspective and based on Tabachnick and Fidell [21], IT12 has been eliminated given the limit loading on the respective factor (.31). All the items loaded on the expected factor (i.e., Strong Will, Good Will toward Other, Good Will toward Self; Transpersonal Will; Skillful Will) with two exceptions. Indeed, items IT22 and IT32 initially expected to belong to the Skillful Will dimension, loaded on the Strong Will. Hence, IT12, IT18, IT21, IT29, and IT31 were deleted, and the same factor analysis was repeated on the 30-item version. The following solution was obtained: Strong Will factor consisted of 9 items (loadings .39‒ .74), Skillful Will of 5 items (loadings .33 ‒.69), Good Will toward Self of 5 items (loadings .42 ‒ .83), Good Will toward Other of 8 items (loadings .36 ‒ .81), and Transpersonal Will of 3 items (loadings .81 ‒ .84). Again, the same two items, IT22 and IT32, loaded on the Strong Will factor instead on the Skillful Will one. Thus, although these two items were initially developed to assess the Skillful Will dimension, the factor analyses repeatedly suggested that they load to the Strong Will dimension.

Fig 1. Scree plot for 23-item solution of Multidimensional Will Scale (MWS).

Fig 1

Reliability

Cronbach’s Alpha and McDonald’s Omega coefficients confirmed fair to good levels of internal consistency for all dimensions but Skillful Will which was close to the acceptable threshold (item loadings on respective factors and internal consistency for the 30-item scale solution are presented in detail in Supporting information S1B Table). By analyzing the item-total correlations and assessing the Alpha and Omega levels when items deleted, it was observed that all items with a correlation lower than .40 did not contribute to internal consistency and were therefore dropped. Specifically, IT20 (r = .38; "I like to lead others and take on roles of responsibility"), IT28 (r = .39; "I am able to realistically assess the possibilities of achieving my goals") and IT37 (r =. 33; "I am influenced by the opinion of others") for the Strong Will. The IT1 (r = .34; "When I have to make a choice, I pause to understand the point of view of others"), IT 8 (r = .31; "I try to act with respect for the natural environment") and IT11 (r =. 33; "I prefer to cooperate with others even if it slows me down in achieving my goals") for the Good Will toward Others. The IT38 (r = .32; "When I have to do something, I pause to think about the easiest and most practical way to do it") was eliminated for the Skillful Will. The only exceptions for item-total correlation values were observed for IT9 (r = .37; "I patiently look for the best way to do things") and IT10 (r = .38; "Doing something good for me makes me feel guilty") as eliminating them would have decreased Alpha levels.

EFA and reliability of the resulting 23-item version

Following the item selection analyses, fifteen items were eliminated and a 23-item version of the MWS comprised of five dimensions has been obtained (Strong Will: 6 items, Skillful Will: 4 items, Good Will toward Self: 5 items, Good Will toward Other: 5 items, and Transpersonal Will: 3 items). Thus, the EFA (Principal Axis Factoring, Oblimin rotation) was repeated with 23 items. The preliminary analyses indicated the acceptability of data to proceed with EFA (KMO = .81; Bartlett’s χ2(df = 253) = 5143.39, p < .001)]. The scree plot confirmed the 5-factor solution (see Fig 2) which explained 50% of the total variance. All items had the appropriate loadings on their respective dimension ranging from .33 to .85 in absolute values. Detailed statistics are available in the Supporting information (S1C Table). The correlations between the factors reveals the relationships between Strong Will and Good Will toward Self (r = .34), Good Will toward Others with Skillful Will (r = .25), and Transpersonal Will (r = .35). The remaining correlations between factors were not significant and ranged from .04 to .18.

Fig 2. Factor model of the 19-item Multidimensional Will Scale (MWS).

Fig 2

Notes. StW = Strong Will; SkW = Skillful Will; GW-S = Good Will toward Self; GW-O = Good Will toward Others; TW = Transpersonal Will.

Internal consistency measured with Cronbach’s Alpha and McDonald’s Omega coefficients for single dimensions were adequate to good for all dimensions and remained under the adequacy threshold for Skillful Will. However, the mean inter-item correlation was .32, a value deemed optimal [30]. Items are well within that range for the Skillful Will factor. For all dimensions, all items had an item-total correlation above .40, except for item 10 (r = .38), which was not, however, eliminated because of its contribution to internal consistency.

The ICCs ranged from good to excellent (.67‒.95). Specifically, Strong Will = .67 [95% CI: .43‒.81, F = 3.082 (df1 = 53, df2 = 53), p < .001], Skillful Will = .87 [95% CI: .74‒.93, F = 9.33 (df1 = 52, df2 = 52), p < .001], Good Will toward Self = .71 [95% CI: .50‒.84, F = 3.458 (df1 = 51, df2 = 51), p < .001], Good Will toward Others = .90 [95% CI: .82‒.95, F = 11.591 (df1 = 53, df2 = 53), p < .001], and Transpersonal Will = .95 [95% CI: .91‒.97, F = 18.66 (df1 = 52, df2 = 52), p < .001]. These findings provide good test-retest reliability evidence for the MWS.

Discussion

The Step 2 allowed to test item properties and explore the factor structure of the scale. In line with Assagioli’s theoretical framework, a 5-factor structure was observed and items saturated on the expected dimensions except for two items of the Skillful Will dimension (IT22 “I recognize and use the inner qualities that can be useful to me in the pursuit of a goal.”and IT32 “I am good at finding solutions to overcome obstacles.”). Thus, it was decided to reassign them to the Strong Will. Indeed, referring to efforts made to overcome a hurdle or to reach a goal, they were consistent with this will facet. The reliability indices confirmed the appropriateness of the selected items for each dimension.

These in-between phases of the scale development led to a 23-items version assessing the five dimensions of Will (Strong, Wise, Good toward Self, Good toward Others, and Transpersonal).

Step 3: The final version of the MWS

The goal of Step 3 of the MWS development was threefold. First, we aimed at confirming the five-factor structure of the 23-item MWS in a different sample. Specifically, we employed a sample more representative of the general population since in Step 2 participants were mainly female university students. As the second aim, gender and age measurement invariance were assessed to ensure the scale is metrically equivalent between male and female respondents, and among different age groups respondents. If so, unbiased group comparisons can be made [31]. The third aim was to assess the validity of the MWS. Since Assagioli’s model has not been studied from a psychometric point of view, the validity study had an explorative nature. Starting from the initial analysis of the single aspects of the will as conceived by Assagioli, it was possible to hypothesize some relations between the different aspects of the will and other constructs, which have been previously studied in relation to volition, to provide evidence of the construct validity. More precisely, if the correlations went in the expected direction, it may provide convergent and discriminant validity for the constructs defined by Assagioli. First, all will dimensions were expected to be related to the sense of mastery (i.e., the extent to which individuals perceive their life to be under their control) and self-control (i.e., the individual’s disposition to correct one’s behaviors, thoughts, and emotions to avoid undesirable outcomes), and seriousness (i.e., an attitudinal and habitual facet of a sober, pensive, and thoughtful frame of mind linked to the tendency to plan ahead of time and set long-range goals, and the tendency to prefer concrete- and rational-reasoned activities; [32]). Moreover, the relationships with resilience (i.e., the ability to cope with adversities) and sense of coherence (i.e., a personal resource that relates to the ability to understand, give meaning to, and manage stressful life events) were explored.

Method

Participants

The questionnaire was administered to a sample (N = 683) aged between 18 and 84 years (M = 34.09, SD = 16.27), of which 54% were female. Ethical approval was granted by previous mentioned opinion of the Ethics Committee for Research at the University of Florence (Opinion n. 31 from 7/23/2018). Sampling was based on the “snowball” method [33] in which undergraduate students in a psychology course were invited to participate in an online questionnaire study and were also encouraged to recruit their acquaintances and relatives to participate. All participants were required to provide a written informed consent before questionnaire administration which took approximately 20 minutes to be completed. The criteria for ineligibility were minor age and lack of informed consent.

Measures

Data were collected through an online questionnaire containing the 23-item MWS and other measures described hereafter. Control questions were included in the questionnaire to avoid response bias.

Life Orientation Test-Revised (LOT-R) [34], Italian version [35] was chosen to assess individual differences in dispositional optimism, defined as a generalized expectation of positive future outcomes. The scale consists of 6 items assessing optimism and pessimism (e.g., "In times of uncertainty, I usually expect the best") and 4 filler items (e.g., "I get along very well with my friends") measured on a five-point Likert scale (from 1 = strongly disagree to 5 = strongly agree). Higher scores are indicators of greater dispositional optimism. In the current sample, the scale has good internal consistency (α = .80).

Sense of Coherence Scale-Revised (SOC-R) [36], Italian version [37] was administered to assess the sense of coherence, defined as a personal resource that relates to the ability to understand, give meaning to, and cope with stressful life events. The scale consists of 13 items formulated as statements about life and comprises three dimensions: Manageability (5 items; e.g., “One can always find a way to cope with painful things in life”), Balance (4 items; e.g., “I am convinced that a lot of negative feelings (e.g. rage) also have positive sides”), and Reflection (4 items; e.g., “Normally I can consider a situation from various perspectives”) rated on a five-point Likert scale (1  =  not at all true to 5  =  extremely true). Overall and single subscale scores are calculated. Higher scores are indicative of the greater presence of the measured trait. In the current sample, overall internal consistency is adequate (α = .70), for Manageability (α = .56), Balance (α = .50), and Reflection (α = .78).

Pearlin-Schooler Mastery Scale (PSMS) [38] assesses the sense of mastery, conceptualized as a coping mechanism to buffer the relationship between stressful events and psychological distress. It regards the extent to which individuals perceive life to be under their control. The scale consists of 7 items (e.g., "What happens to me in the future depends mainly on me") measured on a five-point Likert scale (from 1 = strongly disagree to 5 = strongly agree). Higher scores indicate a greater sense of mastery. The scale displayed good internal consistency in the current sample (α = .78).

Connor-Davidson Resilience Scale (CD-RISC-10) [39], Italian version [40] is a commonly used measure of resilience, defined as the ability to cope with adversities. The scale consists of ten items (e.g., “I am able to cope with any obstacle in life”) measured on a five-point Likert scale (from 0 = not true at all to 4 = true nearly all the time). A higher score indicates greater resilience. The scale displays good internal consistency in the current sample (α = .86).

Brief Self-Control Scale (BSCS) [41], Italian version [42]. The construct measured by this scale relates to the individual’s disposition to modify dominant responses (e.g., adjusting one’s behaviors, thoughts, and emotions) to avoid inappropriate or undesirable behaviors (e.g., those that produce strong immediate rewards) that are difficult to change or overcome. Italian adaptation of the scale consists of 7 items (e.g., "I am good at resisting temptation") measured on a five-point Likert scale (from 1 = not at all like me to 5 = very much like me). Higher scores indicate greater self-control. The scale displays adequate overall internal consistency in the current sample (α = .71), and lower for the two subscales: Impulse Control (α = .67) and Self-Discipline (α = .57) which, however, consist of just a few items.

State-Trait Cheerfulness Inventory—Trait Version (STCI-T60) [32], Italian version [43] is a multidimensional measure that assesses latent traits of cheerfulness, bad mood, and seriousness. Research has shown that these traits are linked with psychological well-being, positive affect, and emotion regulation. The scale consists of 60 items that provide scores on three factors: Cheerfulness (e.g., "I can laugh easily"), Seriousness (e.g., "I prefer conversations that deal with important things and that are very deep"), and Bad Mood (e.g., "Compared to others, I can be really grumpy and grouchy") measured on a four-point Likert scale (from 1 = strongly disagree to 4 = strongly agree). Higher scores indicate a higher temperamental basis of measured traits. In the current sample internal consistency was excellent for Cheerfulness (α = .93) and Bad Mood (α = .92), and good for Seriousness (α = .82)

Analyses

Prior to conducting the analyses, the missing values in the data were examined (see Study 1). All analyses were performed with JASP for Windows software, version 0.16.4 [20].

To verify the factorial structure of the MWS, Confirmatory Factor Analysis (CFA) was conducted using a diagonally weighted least squares (DWLS) estimation method. The data measured with Likert-type ratings are of ordinal nature and thus, it is preferable to use DWLS [44]. Furthermore, DWLS is preferred for large samples [45]. To assess the model fit following fit indices were evaluated: Comparative Fit Index (CFI), Tucker-Lewis index (TLI), and Root Mean Square Error of Approximation (RMSEA). Specifically, RMSEA values lower than .08 would suggest an adequate model fit, and CFI and TLI values in the range of .90 and .95 would suggest a moderate to excellent model fit [46,47].

Confirmatory Multigroup Factor Analysis (MGCFA) was used to test the invariance of the MWS between gender and age groups: female respondents (N = 371; age range 18 to 84 years, Mage = 33.92, SDage = 16.22) and male respondents (N = 312; age range from 18 to 84 years Mage = 34.29, SDage = 16.34), younger people (N = 312; age range 18 to 29 years Mage = 21.65, SDage = 2.09, 52.8% female) and older people (N = 371; age range from 30 to 84 years Mage = 52.99, SDage = 8.15, 56.5% female). Specifically, it was tested if the factor structure was consistent between genders and ages at the configural level (i.e., the construct is associated with the same set of items in each group), metric level (i.e., the relationships between the construct and items are not significantly different between group variables), scalar level (i.e., both factor coefficients and intercepts are equal between groups), and strict level (i.e., error terms do not differ between groups). Therefore, a series of hierarchically nested MGCFAs was applied. An unconstrained model (Model 0) was used to test for configural invariance. Subsequently, three more restrictive models were tested: Model 1 in which factor loadings were constrained to be equal across groups to test metric invariance, Model 2 in which factor loadings and intercepts were constrained to be equal across groups to test scalar invariance, Model 3 in which factor loadings, intercepts, and error terms were constrained to be equal across groups to test strict invariance. Each subsequent restriction was only applied if the previous was allowed. Comparisons were made between the last fitting model and the next most restricted one [48,49]. The models were compared using the chi-square-based likelihood ratio difference (Δχ2), Comparative Fit Index difference (ΔCFI), and the Root Mean Square Error of Approximation difference (ΔRMSEA). A significant value of Δχ2 together with a value of ΔCFI ΔRMSEA ≤.01 would indicate invariance [48,50,51]. Whereas strict invariance is not required, scalar invariance is necessary to affirm that differences in scores are not affected by a measurement bias [52].

The reliability of the scale measured as internal consistency was assessed for each of the five dimensions by calculating Cronbach’s Alpha (α) and McDonald’s Omega (ω) coefficients.

Finally, Bayesian statistical analyses were used to evaluate the relationships among each dimension of the MWS and the variables in the study. Jeffreys’ Bayes Factor describes the observed data using a priori and posterior distribution [53] which allows the quantification of evidence in favor of the alternative and null hypotheses [54]. Bayes Factors for evidence of alternative hypotheses is presented as an easy-to-interpret odds ratio that represents the magnitude of the difference: 1–3 as weak, 3–10 as substantial, 10–30 as strong, 30–100 as very strong, and >100 as decisive [54].

Results

Preliminary analysis of the dataset showed that a minimum number of the data were missing (all below 5%), so they were replaced with the mean value of the respective items.

CFA and reliability

CFA results for a five-factor MWS solution displayed low fit [χ2(N = 683, df = 220) = 972.17, p < .001], RMSEA was adequate .07 [90%: .07‒ .08], TLI = .87 and CFI = .89 just below the .90 threshold. All items loaded significantly (p< .001) on appropriate factors, with adequate loadings’ range: Strong Will [.46 ‒ .70], Skilful Will [.47 ‒ .60], Good Will toward Self [.36 ‒ .72], Good Will toward Others [.47 ‒ .79], and Transpersonal Will [.71 ‒ .84]. Only IT10 (“Doing something good for me makes me feel guilty.”) had a loading below .40. To shorten and strengthen the scale, IT10 was dropped from the scale, and reliability analysis suggested that also IT9 (“I patiently look for the best way to do things.”), IT22 (“I recognize and use the inner qualities that can be useful to me in the pursuit of a goal.”), and IT34 (“I am willing to give up some of my time and projects for the sake of helping others.) could be removed because did not contribute to the internal consistency of the scale.

Following the deletion of these items from the scale, analyses were repeated to confirm the factorial structure (CFA) and reliability. The CFA with 19 items confirmed the five-factor structure (see Fig 2) with an improved model fit (χ2 (142) = 507.63, p< .001; TLI = .91; CFI = .93; RMSEA = .06 [90%CI: .06‒.07]). All items loaded significantly (p< .001) on appropriate factors and ranged from .54 to .83, in particular: Strong Will [.55 ‒ .70], Skillful Will [.54 ‒ .72], Good Will toward Self [.54 ‒ .71], Good Will toward Others [.63 ‒ .79], and Transpersonal Will [.73 ‒ .83] (Table 1).

Table 1. Factor loadings, inter-item correlations, and internal consistency of the 19-item Multidimensional Will Scale (MWS).
Strong Will (α = .76 [CI: .73 - .79]; ω =. 77 [CI: .74 - .79])
Factor Loadings Item-total
Correlations
Cronbach’s α
(if item dropped)
McDonald’s ω
(if item dropped)
IT17 .55 .51 .74 .74
IT25 .66 .53 .72 .73
IT30 .61 .60 .70 .70
IT32 .64 .55 .72 .73
IT33 .70 .51 .73 .74
Skillful Will (α = .64 [CI: .59 - .69]; ω =. 66 [CI: .61 - .70])
Factor Loadings Item-total
Correlations
Cronbach’s α
(if item dropped)
McDonald’s ω
(if item dropped)
IT2 .54 .45 .55
IT35 .72 .53 .44
IT36 .60 .38 .64
Good Will toward Self (α = .73 [CI: .69 - .76]; ω =. 74 [CI: .70 - .77])
Factor Loadings Item-total
Correlations
Cronbach’s α
(if item dropped)
McDonald’s ω
(if item dropped)
IT3 .65 .51 .67 .70
IT6 .54 .50 .68 .68
IT14 .71 .61 .61 .61
IT24 .62 .45 .70 .72
Good Will toward Others (α = .80 [CI: .78 - .83]; ω =. 80 [CI: .78 - .83])
Factor Loadings Item-total
Correlations
Cronbach’s α
(if item dropped)
McDonald’s ω
(if item dropped)
IT5 .68 .59 .77 .77
IT15 .79 .68 .72 .73
IT19 .63 .55 .79 .79
IT26 .77 .67 .73 .73
Transpersonal Will (α = .83 [CI: .80 - .85]; ω =. 83 [CI: .81 - .85])
Factor Loadings Item-total
Correlations
Cronbach’s α
(if item dropped)
McDonald’s ω
(if item dropped)
IT4 .73 .68 .77 a
IT13 .80 .67 .77 a
IT23 .83 .71 .74 a

Note. a Omega if an item dropped requires at least 4 items to be computed.

The correlations among five factors by and large replicated the results of Study 1. More precisely, the Strong Will correlated with Good Will toward Self (r = .49). The Skillful Will correlated with Good Will toward Self (r = .46), the Good Will toward Others (r = .55), and the Transpersonal Will (r = .28). Finally, the Good Will toward Others was related to the Transpersonal Will (r = .33). All the other relationships (range .05 ‒ .17) were not significant.

The 19-item MWS internal consistency replicated previous results, all dimensions had fair to good Alpha and Omega coefficients, except Skillful Will (Table 1). The average inter-item correlation for Skillful Will was 36. The final 19-item scale is reported in Appendix B.

Multigroup CFA

Multigroup CFA was conducted to test the measurement equivalence across genders and ages. The overall and comparative fit statistics of all four models (Model 0 ‒ Model 3) are presented in Table 2. Results show an excellent fit of all tested models to the data, the differences in ΔCFI and ΔRMSEA values were lower than .01 indicating strict measurement invariance across genders and ages (Table 2).

Table 2. Fit statistics of the 19-item Multidimensional Will Scale (MWS) invariance models across genders and ages.
Gender
Model χ2 (df) CFI RMSEA Model comparison Δχ2 (Δdf) p ΔCFI ΔRMSEA
Configural 571.24 (284) .941 .055 - - - - -
Metric 613.13 (298) .936 .056 Metric-
Configural
41.89 (14) < .005 -.005 .001
Scalar 642.73 (312) .932 .056 Scalar–Metric 29.6 (14) < .005 -.004 .000
Strict 667.25 (331) .931 .055 Strict–Scalar 24.52 (19) .25 -.001 -.001
Age
Model χ2 (df) CFI RMSEA Model comparison Δχ2 (Δdf) p ΔCFI ΔRMSEA
Configural 607.326 (284) .937 .058 - - - - -
Metric 635.354 (298) .934 .058 Metric-
Configural
28.028 (14) < .01 -.003 .000
Scalar 703.415 (312) .924 .061 Scalar–Metric 68.061 (14) < .005 -.010 .003
Strict 737.530 (331) .920 .060 Strict–Scalar 34.115 (19) < .05 -.004 -.001

Note. df = degrees of freedom; CFI = comparative fit index; RMSEA = root mean square error of approximation; Δ = difference between nested models; p = probability value of Δχ2 test. Metric = equality of factor loadings; Scalar = Metric + equality of intercepts; Strict = Scalar + equality of error variances.

Validity

To assess the construct validity of the 19-item MWS, the correlations between its dimensions and other measures of related constructs were computed (Table 3).

Table 3. Bivariate correlations between the 19-item Multidimensional Will Scale (MWS) and all the other measures of related constructs.
Variable 1 2 3 4 5
1. Strong Will
2. Skillful Will .10
3. Good Will–Self .36 *** .34 ***
4. Good Will–Others .02 .40 *** .07
5. Transpersonal Will .11 .20 *** .11 .27 ***
6. Dispositional Optimism .45 *** .04 .35 *** .01 .21 ***
7. Sense of Coherence .42 *** .33 *** .27 *** .23 *** .21 ***
8. Manageability .58 *** .12 .30 *** .09 .16 ***
9. Balance -.01 .20 *** .05 .13 * .09
10. Reflection .32 *** .38 *** .21 *** .28 *** .20 ***
11. Mastery .54 *** .06 .39 *** -.05 .01
12. Resilience .71 *** .18 *** .37 *** .13 * .24 ***
13. Cheerfulness .35 *** .11 .38 *** .20 *** .20 ***
14. Seriousness .24 *** .48 *** .19 *** .33 *** .27 ***
15. Bad Mood -.46 *** 0.10 -.36 *** -.07 -.09
16. Self Control .40 *** .36 *** .25 *** .22 *** .20 ***
17. Impulse Control .28 *** .29 *** .16 *** .19 *** .15 ***
18. Self-discipline .40 *** .33 *** .27 *** .18 *** .19 ***

Note. N = 683

*BF10>10

**BF10>30

***BF10>100.

For the Strong Will, medium to strong positive correlations were observed with the measures of Dispositional Optimism (r = .45, BF10>100), Sense of Coherence (r = .42, BF10>100), specifically for Manageability (r = .58, BF10>100), and Reflection (r = 32, BF10>100), Mastery (r = .54, BF10>100), Resilience (r = .71, BF10>100), Cheerfulness (r = .35, BF10>100), Seriousness (r = .24, BF10>100), Self-Control (r = .40, BF10>100), while a negative correlation was observed with Bad Mood (r = -.46, BF10>100).

The Skillful Will showed small to moderate positive correlations with Sense of Coherence (r = .33, BF10>100), Balance (r = .20, BF10>100), Reflection (r = .38, BF10>100), Resilience (r = .18, BF10>100), Seriousness (r = .48, BF10>100), Self-Control (r = .36, BF10>100).

The Good Will toward Self correlated positively with measures of Dispositional Optimism (r = .35, BF10>100), Sense of Coherence (r = .27, BF10>100), specifically for Manageability (r = .30, BF10>100), and Reflection (r = .21, BF10>100), Mastery (r = .39, BF10>100), Resilience (r = .37, BF10>100), Cheerfulness (r = .38, BF10>100), Seriousness (r = .19, BF10>100), Self-Control (r = .25, BF10>100), specifically for Self-Discipline (r = .27, BF10>100), while a moderate negative correlation was observed with Bad Mood (r = -.36, BF10>100).

The Good Will toward Others showed weak to moderate positive correlations with measures of Sense of Coherence (r = .23, BF10>100), Reflection (r = .28, BF10>100), Cheerfulness (r = .20, BF10>100), Seriousness (r = .33, BF10>100), Self-Control (r = .22, BF10>100), Balance (r = .13, BF10>10), and Resilience (r = .13, BF10>10).

Finally, with weak positive correlations between the Transpersonal Will and measures of Dispositional Optimism (r = .21, BF10>100), Sense of Coherence (r = .21, BF10>100), Manageability (r = .16, BF10>100), Reflection (r = .20, BF10>100), Resilience (r = .24, BF10>100), Cheerfulness (r = .20, BF10>100), Seriousness (r = .27, BF10>100), and Self-Control (r = .20, BF10>100) were found.

Discussion

Step 3 allowed the further refinement of the MWS toward its final version. The five-factor model of the 19-item scale showed an adequate fit with good factor loadings. This result confirmed that, according to Assagioli’s conceptualization [5], the will is a multidimensional construct with some facets more closely related to each other, such as Strong Will and Good Will toward Self, and Good Will toward Others and Transpersonal Will. The internal consistency confirmed the trend that was observed in the previous analyses, with a slight improvement for two dimensions (Good Will toward Self and Good Will toward Others). The reliability was just below the threshold for Skillful Will probably due to the fact that it consists of only three items quite heterogeneous in content. Analyses of measurement invariance across genders and ages confirmed the measurement equivalence of the MWS across groups. Therefore, the scale can be employed with younger and older respondents of both genders to make unbiased comparisons [55].

Although the current validity investigation had an exploratory purpose, the observed relationships provide some evidence for a correct operationalization of the five dimensions of the will construct. Indeed, subscales correlated with the measures of self-control and the sense of coherence scale. The former is related to the ability to resist temptations and modify dominant responses through self-regulation mechanisms [42], and the latter regards the understanding that life comprises positive and negative experiences and that achieving stability necessitates integrating different cognitive skills such as wisdom, meaning making, and resiliency [36]. The correlations with dispositional optimism were found for Strong, Transpersonal, and Good Will toward Self. Defined as a personal disposition to attend generally positive outcomes in life [56], and positively related to psychological well-being, physical health, and positive health behaviors, this relationship reinforces the definition of will as an aspect linked to self-fulfilling goals and personal well-being.

Conclusion

The aim of this study was the development of a scale designed to assess different aspects of the will based on the theoretical model of Assagioli, an Italian psychiatrist whose ideas are largely applied to psychoanalysis and counseling treatments. Although giving an operative definition of this theoretical model was challenging, a quantitative measure of a multidimensional construct that consists of the different aspects of will (Strong, Skillful, Good toward Self, Good toward Others, and Transpersonal) was obtained. Throughout several phases, a scale with good psychometric properties was obtained, the five-factor structure derived from the theoretical model was confirmed, and validity evidence was provided.

The MWS could be used to understand the possible benefits of assessing the will in connection to individual and relational well-being or, vice versa, the impact of a poor will on distress. Additionally, it may represent a useful tool for initial screening, for example, in patients who are required to follow rehabilitation and health maintenance programs. The will could play an important role in determining whether the patient will consistently follow the proposed treatment and, therefore, measuring the will can offer insights to develop specific interventions for those who lack it.

The current work is not without limitations. To overcome the sample bias of the first study (Step 2), which was conducted on a sample of university students, in the second study (Step 3) the “snowball” sampling method was employed. However, this sample might not be representative of the Italian general population. Future studies should attempt to replicate these findings by including broader and more heterogeneous samples. At the same time, the scale should be tested on clinical samples (e.g., patients with psychiatric or psychosomatic pathologies) to prove the suitability and utility of the MWS in this domain. Specifically, since volition can be conceptualized as a salutogenic construct, future studies using the MWS will lead to a deeper understanding of the relationships with well-being and the prevention of physical and psychological pathologies, preferably through prospective studies. Furthermore, validity evidence was provided in the current study, but extending the scale validity by including measures developed to assess volition and motivation would be desirable. Finally, since the scale was developed in Italian, it would be worth translating and validating it in other languages, to confirm its psychometric properties, and to make it available for use in different linguistic contexts.

In conclusion, whereas the current findings need to be confirmed and extended, the MWS appears to be an efficient multidimensional measure that allows researchers, therapists, and counselors to assess Assagioli’s construct of will.

Supporting information

S1 Table. A. Descriptive statistics for 38-item Multidimensional Will Scale (MWS).

B. Factor Loadings, inter-item correlations and internal consistency of the 30-item solution of the Multidimensional Will Scale (MWS). C. Factor Loadings, inter-item correlations, and internal consistency of the 23-item Multidimensional Will Scale (MWS).

(DOCX)

pone.0305477.s001.docx (27KB, docx)
S1 Appendix. The initial 38 items of the Multidimensional Will Scale (MWS).

(DOCX)

pone.0305477.s002.docx (15.7KB, docx)
S2 Appendix. The final 19 items of the Multidimensional Will Scale (MWS).

(DOCX)

pone.0305477.s003.docx (14.4KB, docx)
S1 File

(SAV)

pone.0305477.s004.sav (25KB, sav)
S2 File

(SAV)

pone.0305477.s005.sav (17.6KB, sav)
S3 File

(SAV)

pone.0305477.s006.sav (24.5KB, sav)

Acknowledgments

The authors thank the trainers, psychotherapists, psychologists, and volunteers of the Italian Psychosynthesis Institute for their kind support of the research and particularly are grateful to: Piero Ferrucci, Nives Favero, Vittorio Viglienghi, Silvia Messina, Eleonora Fazzini, Serena Stanghellini, Erika Agresti, Petra Guggisberg Nocelli, Piero Marovelli, Alessandro Toccafondi, Alberto Nannicini, Linda Cecconi, Elena Morbidelli, Giuditta Greco, Luigi Padovese, Carla Pellegrini.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

The authors received no specific funding for this work.

References

  • 1.Metcalfe J, Mischel W. A hot/cool-system analysis of delay of gratification: Dynamics of willpower. Psychol Rev 1999; 106: 3–19. doi: 10.1037/0033-295x.106.1.3 [DOI] [PubMed] [Google Scholar]
  • 2.Lake B. Concept of ego strength in psychotherapy. Br J Psychiatry 1985; 147: 471–8. doi: 10.1192/bjp.147.5.471 [DOI] [PubMed] [Google Scholar]
  • 3.Kuhl J. Volitional mediators of cognition–behavior consistency: Self-regulatory processes and action versus state orientation. In: Kuhl J, Beckmann J, Eds. Action control: From cognition to behavior. Berlin: Springer; 1985; pp. 101–28. [Google Scholar]
  • 4.Carver CS, Scheier MF. Control theory: A useful conceptual framework for personality, social, clinical and health psychology. Psychol Bull 1982; 92: 111–35. [PubMed] [Google Scholar]
  • 5.Assagioli R. The act of will. Baltimore: Penguin Books; 1973. [Google Scholar]
  • 6.Kuhl J, Fuhrmann A. Decomposing self-regulation and self-control: The Volitional Components Inventory. In: Heckhausen J, Dweck CS, Eds. Motivation and self-regulation across the life span. Cambridge: Cambridge University Press; 1998; pp. 15–49. [Google Scholar]
  • 7.Tangney JP, Baumeister RF, Boone AL. High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. J Pers 2004; 72: 271–322. doi: 10.1111/j.0022-3506.2004.00263.x [DOI] [PubMed] [Google Scholar]
  • 8.Lenzenweger MF, Clarkin JF, Kernberg OF, Foelsch PA. The Inventory of Personality Organization: psychometric properties, factorial composition, and criterion relations with affect, aggressive dyscontrol, psychosis proneness, and self-domains in a nonclinical sample. Psychol Assess. 2001. Dec;13(4):577–91. Available from: https://psycnet.apa.org/doi/10.1037/1040-3590.13.4.577 . [PubMed] [Google Scholar]
  • 9.Stern BL, Caligor E, Clarkin JF, Critchfield KL, Horz S, MacCornack V, et al. Structured Interview of Personality Organization (STIPO): preliminary psychometrics in a clinical sample. J Pers Assess. 2010. Jan;92(1):35‒44. doi: 10.1080/00223890903379308 . [DOI] [PubMed] [Google Scholar]
  • 10.Weinryb RM, Rössel RJ, Asberg M. The Karolinska Psychodynamic Profile. I. Validity and dimensionality. Acta Psychiatr Scand. 1991. Jan;83(1):64‒72. Available from: doi: 10.1111/j.1600-0447.1991.tb05513.x . [DOI] [PubMed] [Google Scholar]
  • 11.Clark LA, Watson D. Constructing validity: Basic issues in objective scale development. In: Kazdin AE, editor. Methodological issues and strategies in clinical research (4th ed). Washington: American Psychological Association; 2016. p. 187–203. Available from: 10.1037/14805-012. [DOI] [Google Scholar]
  • 12.Devellis RF, Thorpe CT. Scale development: Theory and applications. 5th ed. Thousand Oaks, CA: SAGE Publications, Inc; 2021. [Google Scholar]
  • 13.Cox EP III. The optimal number of response alternatives for a scale: A review. J Mark Res [Internet]. 1980;17(4):407–22. Available from: 10.1177/002224378001700401. [DOI] [Google Scholar]
  • 14.Reynolds CR, Livingston RB, Willson V. Measurement and assessment in education. 2nd ed. Upper Saddle River, NJ: Pearson; 2010. [Google Scholar]
  • 15.Kyriazos TA. Applied psychometrics: Sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology (Irvine) [Internet]. 2018;09(08):2207–30. Available from: 10.4236/psych.2018.98126. [DOI] [Google Scholar]
  • 16.Comrey A. L., & Lee H. B. (1992). A First Course in Factor Analysis. Hillsdale, NJ: Lawrence Eribaum Associates. [Google Scholar]
  • 17.Wang L. L., Watts A. S., Anderson R. A., & Little T. D. (2013). Common Fallacies in Quantitative Research Methodology. In Little T. D (Ed.), The Oxford Handbook of Quantitative Methods (pp. 718–758). New York: Oxford University Press. 10.1093/oxfordhb/9780199934898.013.0031. [DOI] [Google Scholar]
  • 18.Polit D.F. Getting serious about test–retest reliability: a critique of retest research and some recommendations. Qual Life Res 23, 1713–1720 (2014). doi: 10.1007/s11136-014-0632-9 [DOI] [PubMed] [Google Scholar]
  • 19.Little RJ, Rubin DB. Statistical inference with missing data. 2nd ed. New York: Wiley, 2002. [Google Scholar]
  • 20.JASP Team. JASP (Version 0.16.4): 2022 [Computer software]. Available from: https://jasp-stats.org/. [Google Scholar]
  • 21.Tabachnick BG, Fiddell LS. Using multivariate statistics. Needum Heights: Pearson/Allyn & Bacon; 2007. [Google Scholar]
  • 22.Yong AG, Pearce S. A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutorials Quant Method Psychol. 2013;9(2):79–94. 10.20982/tqmp.09.2.p079. [DOI] [Google Scholar]
  • 23.Costello AB, Osborne J. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis [Internet]. University of Massachusetts Amherst; 2005. Available from: 10.7275/JYJ1-4868. [DOI] [Google Scholar]
  • 24.Watkins MW. Exploratory Factor Analysis: A Guide to Best Practice. J Black Psychol. 2018;44(3):219–246. 10.1177/0095798418771807. [DOI] [Google Scholar]
  • 25.Cudeck R. Exploratory factor analysis. In: Handbook of Applied Multivariate Statistics and Mathematical Modeling. Academic Press; 2000. p. 265–296. 10.1016/B978-012691360-6/50011-2. [DOI] [Google Scholar]
  • 26.Stevens J. Applied multivariate statistics for the social sciences. 4th ed. Mahwah, NJ: Lawrence Erlbaurn Associates; 2002. [Google Scholar]
  • 27.Cicchetti DV, Sparrow SS. Assessment of adaptive behavior in young children. In: Johnson JH, Goldman J, editors. Developmental assessment in clinical child psychology: A handbook. Pergamon Press; 1990. p. [173–196]. [Google Scholar]
  • 28.Evers A, Hagemeister C, Høstmælingen A, Lindley P, Muñiz J,Sjöberg A. EFPA review model for the description and evaluation of psychological and educational tests. In: Test review form and notes for reviewers; 2013. 76p. Version 4.2.6. [Google Scholar]
  • 29.Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med [Internet]. 2016;15(2):155–63. Available from: doi: 10.1016/j.jcm.2016.02.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Briggs SR, Cheek JM. The role of factor analysis in the development and evaluation of personality scales. J Pers [Internet]. 1986;54(1):106–48. Available from: 10.1111/j.1467-6494.1986.tb00391.x. [DOI] [Google Scholar]
  • 31.Vandenberg RJ, Lance CE. A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organ Res Methods [Internet]. 2000;3(1):4–70. Available from: 10.1177/109442810031002. [DOI] [Google Scholar]
  • 32.Ruch W, Köhler G, Van Thriel C. Assessing the humorous temperament“: Construction of the facet and standard trait forms of the State-Trait-Cheerfulness-Inventory—STCI. Humor—Int J Humor Res [Internet]. 1996;9(3–4):303–40. Available from: 10.1515/humr.1996.9.3-4.303. [DOI] [Google Scholar]
  • 33.Biernacki P, Waldorf D. Snowball sampling: Problems and techniques of chain referral sampling. Soc Methods Res. 1981; 10(2): 141–163. [Google Scholar]
  • 34.Scheier MF, Carver CS, Bridges MW. Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a reevaluation of the Life Orientation Test. J Pers Soc Psychol. 1994. Dec;67(6):1063–78. Available from: doi: 10.1037//0022-3514.67.6.1063 . [DOI] [PubMed] [Google Scholar]
  • 35.Chiesi F, Galli S, Primi C, Innocenti Borgi P, Bonacchi A. The accuracy of the Life Orientation Test- Revised (LOT-R) in measuring dispositional optimism: evidence from item response theory analyses. J Pers Assess. 2013; 95(5):523–9. Available from: Epub 2013 Apr 9. doi: 10.1080/00223891.2013.781029 . [DOI] [PubMed] [Google Scholar]
  • 36.Bachem R, Maercker A. Development and psychometric evaluation of a revised Sense of Coherence scale. Eur J Psychol Assess [Internet]. 2018;34(3):206–15. Available from: 10.1027/1015-5759/a000323. [DOI] [Google Scholar]
  • 37.Chiesi F, Marunic G, Lau C. Validation study of an Italian version of the revised Sense of Coherence Scale (SOC-R). Curr Psychol [Internet]. 2022;41(2):705–12. Available from: 10.1007/s12144-020-00606-6. [DOI] [Google Scholar]
  • 38.Pearlin LI, Schooler C. The structure of coping. J Health Soc Behav., 1978; 19(1):2–21. Available from: 10.2307/2136319 [DOI] [PubMed] [Google Scholar]
  • 39.Campbell-Sills L, Stein MB. Psychometric analysis and refinement of the Connor-davidson Resilience Scale (CD-RISC): Validation of a 10-item measure of resilience. J Trauma Stress. 2007. Dec;20(6):1019–28. Available from: doi: 10.1002/jts.20271 . [DOI] [PubMed] [Google Scholar]
  • 40.Di Fabio A, Palazzeschi L. Connor-Davidson resilience scale: psychometric properties of the italian version. Counseling: Italian Journal of Research and Applications [Internet]. 2012, 5(1): 101–109. [Google Scholar]
  • 41.Tangney JP, Baumeister RF, Boone AL. High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. J Pers. 2004. Apr;72(2):271–324. Available from: doi: 10.1111/j.0022-3506.2004.00263.x . [DOI] [PubMed] [Google Scholar]
  • 42.Chiesi F, Bonacchi A, Lau C, Tosti AE, Marra F, Saklofske DH. Measuring self-control across gender, age, language, and clinical status: A validation study of the Italian version of the Brief Self- Control Scale (BSCS). PLoS One. 2020. Aug 21;15(8):e0237729. doi: 10.1371/journal.pone.0237729 ; PMCID: PMC7446922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Lau C, Chiesi F, Hofmann J, Ruch W, Saklofske DH. The Italian version of the State-Trait Cheerfulness Inventory trait form: Psychometric validation and evaluation of measurement invariance. J Psychoeduc Assess [Internet]. 2020;38(5):613–26. Available from: 10.1177/0734282919875639. [DOI] [Google Scholar]
  • 44.Li CH. The performance of ML, DWLS, and ULS estimation with robust corrections in structural equation models with ordinal variables. Psychol Methods [Internet]. 2016. Sep;21(3):369–87. Available from: doi: 10.1037/met0000093 . [DOI] [PubMed] [Google Scholar]
  • 45.Koğar H, Yilmaz Koğar E. Comparison of different estimation methods for categorical and ordinal data in confirmatory factor analysis. Egit Psikol Olcme Deger Derg [Internet]. 2015;6(2). Available from: 10.21031/epod.94857. [DOI] [Google Scholar]
  • 46.Byrne BM. A primer of LISREL: Basic applications and programming for confirmatory factor analytic models. New York: Springer Science & Business Media; 2012. [Google Scholar]
  • 47.Kline RB. Principles and Practice of Structural Equation Modeling. 4th ed. New York: The Guilford Press; 2016. [Google Scholar]
  • 48.Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Modeling [Internet]. 2007;14(3):464–504. Available from: 10.1080/10705510701301834. [DOI] [Google Scholar]
  • 49.Dimitrov DM. Testing for factorial invariance in the context of construct validation. Meas Eval Couns Dev [Internet]. 2010;43(2):121–49. Available from: 10.1177/0748175610373459. [DOI] [Google Scholar]
  • 50.Cheung GW, Rensvold RB. Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Equ Modeling [Internet]. 2002;9(2):233–55. Available from: http://10.1207/s15328007sem0902_5. [Google Scholar]
  • 51.Rutkowski L., & Svetina D. (2014). Assessing the hypothesis of measurement invariance in the context of large-scale international surveys. Educational and Psychological Measurement, 74(1), 31–57. 10.1177/0013164413498257. [DOI] [Google Scholar]
  • 52.Meredith W. Measurement invariance, factor analysis and factorial invariance. Psychometrika [Internet]. 1993;58(4):525–43. Available from: 10.1007/bf02294825. [DOI] [Google Scholar]
  • 53.Ly A, Verhagen J, Wagenmakers E-J. Harold Jeffreys’s default Bayes factor hypothesis tests: Explanation, extension, and application in psychology. J Math Psychol [Internet]. 2016;72:19–32. Available from: 10.1016/j.jmp.2015.06.004. [DOI] [Google Scholar]
  • 54.Jarosz AF, Wiley J. What are the odds? A practical guide to computing and reporting Bayes factors. J Probl Solving [Internet]. 2014;7(1). Available from: 10.7771/1932-6246.1167. [DOI] [Google Scholar]
  • 55.Meredith W. Two Wrongs May Not Make a Right. Multivariate Behav Res. 1995. Jan 1;30(1):89‒94. Available from: doi: 10.1207/s15327906mbr3001_8 . [DOI] [PubMed] [Google Scholar]
  • 56.Scheier MF, Carver CS. Optimism, coping, and health: assessment and implications of generalized outcome expectancies. Health Psychol. 1985;4(3):219–47. Available from: doi: 10.1037//0278-6133.4.3.219 . [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Silva Ibrahimi

31 Jul 2023

PONE-D-23-06766Assessment of will from psychodynamic theory: The development of the Multidimensional Will Scale

PLOS ONE

Dear Dr. Bonacchi,

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.

Your work is truly valuable for the mental health community; reading it made me believe it should be considered. However, there are some significant issues that our exceptional specialist reviewer has pointed out regarding the logical flow and reliability of the psychometric data, which in this instance are of particular concern.

Please thoroughly review them and make the necessary adjustments and/or suitable clarifications.

After your submission of the revised manuscript,a second round of blind-review process will be run. 

Please submit your revised manuscript by Sep 14 2023 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.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

We look forward to receiving your revised manuscript.

Kind regards,

Silva Ibrahimi, PhD

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

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

2. Please provide additional details regarding ethical approval in the body of your manuscript. In the Methods section, please ensure that you have specified the name of the IRB/ethics committee that approved your study.

3. Please include your full ethics statement in the ‘Methods’ section of your manuscript file. In your statement, please include the full name of the IRB or ethics committee who approved or waived your study, as well as whether or not you obtained informed written or verbal consent. If consent was waived for your study, please include this information in your statement as well.

[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

**********

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

Reviewer #1: No

**********

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

**********

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

**********

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: Thank you for giving me this opportunity to review the manuscript (No: PONE-D-23-06766).

This study aimed to develop and validate a Multidimensional Will Scale (MWS). I applaud the authors’ efforts to identify the dimensions of will according to Assagioli’s model and develop the preliminary 38-item version of the MWS in three phases, examine the factor structure of the 38-item MWS using exploratory factor analysis (Study 1), and identify the best-fit model using confirmatory factor analysis (Study 2).

Major issues:

1. The item selection procedure and the cut-off values used to remove items are not indicated in lines 258 to 260. As a result, the decision to remove items 7, 16, and 27 because of the skewness and/or kurtosis values does not seem justifiable. The values were below 2.00 and are considered acceptable to some researchers. The authors are urged to explain the reason for using skewness and kurtosis, rather than factor loading, to determine the items that shall be removed. Finally, the kurtosis value of item 27 reported in line 276 is different from the value reported in S1 Table.

2. Lines 287 to 286, the number of factors to retain in the parallel analysis is not decided by the eigenvalue > 1 criterion, but by the number of eigenvalues (generated from the dataset) that are larger than the corresponding random eigenvalues.

3. Lines 291 to 292, “the analyses for a 31-item solution, with the number of factors fixed at five, were repeated.” The writing does not indicate whether the researchers delete one of the four items (i.e., items 18, 21, 29, 31) each time and then rerun the EFA. In addition, it is not justifiable to fix the number of factors. Note that the number of factors is likely to change when an item is removed.

4. Line 293, “IT12 (r=.31) has been eliminated as statistically non-significant.” It is not clear if the reported r-value refers to factor loading. Moreover, the authors did not mention that statistical significance is one of the criteria for determining item removal.

5. Lines 301 to 302, “The content analysis led to moving these two items from the Skillful to the Strong Will dimension” The writing seems to indicate that the authors think that it is acceptable to keep items 22 and 32 to Strong Will dimension. The items, however, were evaluated by experts and recommended to be loaded on Skillful Will dimension. The inconsistent decisions require further explanation.

6. Lines 319 to 320 and Lines 342 to 343, items 9 and 10 with a factor loading below 0.40 were not removed to maintain the Cronbach alpha. This practice, again, does not seem justifiable.

7. Lines 329, Is the result of the scree test consistent with the parallel analysis result? It is confusing why the authors referred to the scree test result.

8. Lines 506 to 513, items 10, 9, 22, and 34 were removed and the retained items were submitted to CFA. The CFA results shall be interpreted as exploratory rather than confirmatory. A new set of data shall be collected to confirm the revised structure/model.

Minor issue

1. The authors use the term will and volition in the literature review. It is important to clarify if the two terminologies are conceptually equivalent.

2. Lines 246 to 249, explain the reason to run two EFAs using PC and FA respectively.

I did not review the Discussion because the abovementioned major issues lead me to doubt the appropriateness of the selected items.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Attachment

Submitted filename: Review report.docx

pone.0305477.s007.docx (16.6KB, docx)
PLoS One. 2024 Jul 11;19(7):e0305477. doi: 10.1371/journal.pone.0305477.r002

Author response to Decision Letter 0


8 Sep 2023

Dear Reviewer,

Thank you for the opportunity to improve our manuscript. We have addressed all the issues raised, which can be found in the uploaded file "Response to Reviewers".

Kind regards,

The Authors

Attachment

Submitted filename: Response to Reviewers.docx

pone.0305477.s008.docx (27.7KB, docx)

Decision Letter 1

Silva Ibrahimi

12 Dec 2023

PONE-D-23-06766R1Assessment of will from psychodynamic theory: The development of the Multidimensional Will ScalePLOS ONE

Dear Dr. Bonacchi,

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. Based on our expert reviewers' comments and opinions the manuscript still need a throughout revision,especially in terms of a pure  psychodynamic background . Please also be sure to address the first reviewer concerns  as he highlighted. Please submit your revised manuscript by Jan 26 2024 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.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

We look forward to receiving your revised manuscript.

Kind regards,

Silva Ibrahimi, PhD

Academic Editor

PLOS ONE

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

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 #2: (No Response)

Reviewer #3: (No Response)

**********

2. 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 #2: Partly

Reviewer #3: Partly

**********

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

Reviewer #2: No

Reviewer #3: Yes

**********

4. 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 #2: Yes

Reviewer #3: Yes

**********

5. 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 #2: Yes

Reviewer #3: No

**********

6. 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 #2: ID: PONE-D-23-06766

Title: Assessment of will from psychodynamic theory: The development of the Multidimensional Will Scale

Thank you for providing a chance to review this manuscript.

Abstract

Overall: The Abstract is confusing, it is recommended to add subheadings in the order of “Background”, “Objective”, “Methods”, “Results”, and “Conclusion”, and to check whether each section is clearly explained.

Line 34, Page 2: “N=587; Mage=21.55, SDage=4.14, and N=683; Mage = 34.09, SDage = 16.27, respectively”, It is recommended to move to “Study 1” and “Study 2” respectively.

Line 34-42, Page 2: In addition to the results of the various analyses, the results of important statistical values are also those that should be presented in the abstract and the authors are invited to add them.

Introduction

Line 51-56, Page 3: What is the key meaning that needs to be conveyed in this paragraph? Why the sudden reference to “voluntary acts and behaviors enables scholars” when the importance and definition of will is being described? The author's presentation lacks clarity and focus on the topic.

Line 57-73&Line 74-81, Page 2-3: The author devotes a tremendous amount of space to description in these two paragraphs, but still does not provide a clear answer to the question posed at the end of the previous paragraph, “Over time, numerous attempts have been made to define and discern between different conceptualizations of the will, willpower, and human volition”. At the same time, I don't think such a lengthy history of development is particularly relevant to your research background, and these two paragraphs need to be merged and greatly abbreviated.

Line 82-92, Page 4: The author’s research concepts seem to keep jumping around; what is the relationship between “volition” and “will”?

Line 98, Page 4: “That need to include the development of assessment tools”, your research focuses on tool development, please describe in detail. I don’t understand from your statement why there is a need to assess the development of tools?

Theoretical background: Assagioli’s model of will

Overall: Overall, the description of the theoretical framework could have been interspersed with the “Introduction”, and I do not see the need for it to be placed under a separate subtitle, which would be detrimental to the coherence of the contextualization.

Overall: Same problem, the description is too long, so detailed that the author can't catch the point, I suggest the author to make cuts.

Designing the Multidimensional Will Scale (MWS)

Overall: It is suggested that the presentation of the subtitle be modified by adding the specific steps of the research undertaken after “Phase I”, etc.

Phase I, Page 7-8: “In the first stage, the purpose was to adequately operationalize the construct to ensure face and content validity”, the description of the entire paragraph does not mention the tests and results of surface sanitization and content validity, which are necessary to be accounted for.

Overall: The authors describe multiple stages of modifying and validating the content of the scale, but how was the original pool of entries for the scale determined? The authors do not have a clear statement in this area.

Study 1: Testing and revising the Multidimensional Will Scale (MWS)

Participants and sample size, Page 9: The representation of the demographic characteristics of the sample is necessary. Authors were asked to add tables showing relevant data to demonstrate that the sample collected was representative.

Line 218-221, Page 9-10: “The sample size was established referring to the requirements to develop a scale through factor analysis that depends on the number and type of the items, the extent of correlations between items in the population, average commonality, the number of factors, and the stability of the factor structure”, what specific requirements have been complied with? How was the sample size synthesized? The authors should clearly list this.

Line 225-227, Page 10: “Approximately 66% of participants identified as cisgender women, 33% as cisgender men, and 1% preferred not to say. The majority were students (91%) from a large university in central Italy”, why is there such a large distribution of females and students, given that this is a survey facing an adult population? I question the representativeness of the sample. As well, the authors' sampling method was?

Line 236-237, Page 10: “A subsample of participants (N = 228; 39% of the original sample) completed the MWS again in a four-to-five-week interval”, what is the basis for determining the time interval?

Line 239-243, Page 10: “Otherwise, the arithmetic mean of each item replaced the missing data”, is there literature to support your choice of mean values to supplement missing values?

Item descriptives, Page 12-13: Is there a theory to support the decision to simply delete items when there is a deviation from normality? The test for normality may vary with the sample taken, and I don't think it's reasonable to handle it that way.

Overall: I do not believe that a discussion after only a preliminary analysis is necessary and suggest that the authors merge the discussion of the two parts of the study.

Study 2: Dimensionality, gender and age invariance, and validity of the Multidimensional Will Scale (MWS)Longitudinal invariance analyses of the Chinese EPDS

Measures, Page 18-20: Please list in detail the process of using the translation of the scale with validation in the local language.

Line 510-512, Page 21: What is the reason for choosing the change in CFI and RMSEA as the cutoff value for determining invariance?4

Line 564-565, Page 24&Table 2, Page 25: “Results show an excellent fit of all tested models to the data, the differences in ΔCFI and ΔRMSEA values were lower than .01 and .015, respectively”, please check the data again, isn't the ΔCFI for scalar invariance in the age subgroup outside the recommended range?

Discussion, Page 28-30: The discussion is more of a restatement of the results, and the authors are advised to move to a deeper level of discussion.

Conclusion

Overall: The conclusion is not concise, it uses too much space and contains too much content, and the author is advised to rewrite it, preferably in two to three sentences.

This study is innovative and fills the research gap in this field. However, it still has certain shortcomings. The article structure of this paper has a big problem, which is confusing and unsystematic, and needs a big change; and the author's account is more confusing, unable to catch the key points, and using too much space, which needs to be partially reduced. At the same time, there are certain problems at the research design and data analysis. I am sorry to give the decision of rejection and look forward to seeing the progress of this manuscript.

Thank you and my best,

Your reviewer

Reviewer #3: The authors need to more fully explain the theoretical model on which they are basing their study, and the relevance of the research as designed and conducted. It is also important to correct the presumption that this an empirical study of psychodynamic psychotherapy--psychosynthesis holds very little concordance with psychoanalysis/psychodynamic psychotherapy even though its founder studied psychoanalysis.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #2: No

Reviewer #3: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Jul 11;19(7):e0305477. doi: 10.1371/journal.pone.0305477.r004

Author response to Decision Letter 1


13 Feb 2024

Dear Editor,

Thank you for your letter dated December 12, 2023. We are sincerely grateful that you are willing to consider a revised draft of our manuscript for potential publication in the PLOS One.

We thank you and the Reviewers for their insightful comments and suggestions. We have revised the manuscript following their feedback. Attached, you will find a copy of the revised manuscript, which includes tracked changes, along with an unmarked version. Additionally, we have provided detailed point-by-point responses to the reviewer's comments. In the revised manuscript, all modifications made to the previous version are tracked.

We would also like to take this opportunity to thank you for helping us to improve the quality of our manuscript. Nonetheless, we’d like to remember that we sent the paper on March 13, 2023. After four months (July 31, 2023), we received a detailed review (Review #1) along with some editor’s standard indications (style requirement, ethics statement). We sent the revised version on September 8th, 2023. After three months (December 12, 2023), we received two different new reviews by Reviewer #2 and Reviewer #3. Although we agree that a publication must follow rigorous evaluations, we believe that a less long and complicated procedure might have shortened the process. Thus, at this stage, we hope to receive an answer as soon as possible.

Kind regards,

Andrea Bonacchi

-------------------------------------

Reviewer #2:

Abstract

Overall: The Abstract is confusing, it is recommended to add subheadings in the order of “Background”, “Objective”, “Methods”, “Results”, and “Conclusion”, and to check whether each section is clearly explained.

Line 34, Page 2: “N=587; Mage=21.55, SDage=4.14, and N=683; Mage = 34.09, SDage = 16.27, respectively”, It is recommended to move to “Study 1” and “Study 2” respectively. Line 34-42, Page 2: In addition to the results of the various analyses, the results of important statistical values are also those that should be presented in the abstract and the authors are invited to add them.

Response: The abstract was changed following these suggestions.

Introduction

Line 51-56, Page 3: What is the key meaning that needs to be conveyed in this paragraph? Why the sudden reference to “voluntary acts and behaviors enables scholars” when the importance and definition of will is being described? The author's presentation lacks clarity and focus on the topic.

Line 57-73&Line 74-81, Page 2-3: The author devotes a tremendous amount of space to description in these two paragraphs, but still does not provide a clear answer to the question posed at the end of the previous paragraph, “Over time, numerous attempts have been made to define and discern between different conceptualizations of the will, willpower, and human volition”. At the same time, I don't think such a lengthy history of development is particularly relevant to your research background, and these two paragraphs need to be merged and greatly abbreviated.

Line 82-92, Page 4: The author’s research concepts seem to keep jumping around; what is the relationship between “volition” and “will”? Line 98, Page 4: “That need to include the development of assessment tools”, your research focuses on tool development, please describe in detail. I don’t understand from your statement why there is a need to assess the development of tools?

Theoretical background: Assagioli’s model of will

Overall: Overall, the description of the theoretical framework could have been interspersed with the “Introduction”, and I do not see the need for it to be placed under a separate subtitle, which would be detrimental to the coherence of the contextualization.

Overall: Same problem, the description is too long, so detailed that the author can't catch the point, I suggest the author to make cuts.

Response: The introduction was shortened and changed following these suggestions.

Designing the Multidimensional Will Scale (MWS)

Overall: It is suggested that the presentation of the subtitle be modified by adding the specific steps of the research undertaken after “Phase I”, etc.

Response: Headings and sub-headings were changed following these suggestions and to give the paper a clearer structure.

Phase I, Page 7-8: “In the first stage, the purpose was to adequately operationalize the construct to ensure face and content validity”, the description of the entire paragraph does not mention the tests and results of surface sanitization and content validity, which are necessary to be accounted for.

Overall: The authors describe multiple stages of modifying and validating the content of the scale, but how was the original pool of entries for the scale determined? The authors do not have a clear statement in this area. I

The paper Response: In “Operational definition and Item formulation” section we explained how the initial pool of items was obtained and in the “Content Validity” section we detailed the results of content analysis.

Study 1: Testing and revising the Multidimensional Will Scale (MWS)

Participants and sample size, Page 9: The representation of the demographic characteristics of the sample is necessary. Authors were asked to add tables showing relevant data to demonstrate that the sample collected was representative.

Response: The first sample was not representative because it was a convenience sample. The following study (called now Step 3) was conducted with a different sample to amend this flaw. Moreover, we acknowledged this limitation of the study in the Constraints on Generality section.

Line 218-221, Page 9-10: “The sample size was established referring to the requirements to develop a scale through factor analysis that depends on the number and type of the items, the extent of correlations between items in the population, average commonality, the number of factors, and the stability of the factor structure”, what specific requirements have been complied with? How was the sample size synthesized?

Response: In the Participants section of Step 2 we better explained the choice of the sample size.

Line 225-227, Page 10: “Approximately 66% of participants identified as cisgender women, 33% as cisgender men, and 1% preferred not to say. The majority were students (91%) from a large university in central Italy”, why is there such a large distribution of females and students, given that this is a survey facing an adult population? I question the representativeness of the sample. As well, the authors' sampling method was?

Response: See above.

Line 236-237, Page 10: “A subsample of participants (N = 228; 39% of the original sample) completed the MWS again in a four-to-five-week interval”, what is the basis for determining the time interval?

Response: This interval is recommended in the literature (e.g., DeVellis, 2012; Polit, 2014) especially when the measure refers to trait-like attribute. A trait has high stability; thus no significant changes are expected. We detailed this point in the Measure and Procedure section of Step 2.

Line 239-243, Page 10: “Otherwise, the arithmetic mean of each item replaced the missing data”, is there literature to support your choice of mean values to supplement missing values?

Response: This is one of the ways to deal with missing data (Little and Rubin, 2002). We are aware that this method can limit data variability. However, in this case missing data were very few (never exceeded 1% of the responses, i.e., max 5/6 out of 587). Therefore, we can be confident that the missing data imputation method did not impact on the analyses.

Item descriptives, Page 12-13: Is there a theory to support the decision to simply delete items when there is a deviation from normality? The test for normality may vary with the sample taken, and I don't think it's reasonable to handle it that way.

Response: Deviation from normality means that the variability in the responses is in someway reduced (responses tend to concentrate to some response options and, as a result, we observe skewed and/or kurtotic distribution). Since we were in a phase of development of the scale, we preferred to exclude items that showed these characteristics.

Overall: I do not believe that a discussion after only a preliminary analysis is necessary and suggest that the authors merge the discussion of the two parts of the study.

Response: We thank you for this suggestion, but we deem it necessary at this point of the paper to briefly sum up the obtained results before introducing Step 3 of the scale development. Thus, the Discussion was maintained but drastically shortened.

Study 2: Dimensionality, gender and age invariance, and validity of the Multidimensional Will Scale (MWS).Line 510-512, Page 21: What is the reason for choosing the change in CFI and RMSEA as the cutoff value for determining invariance?

Response: As mentioned in the Analysis section of Step 3, we followed the literature (Chen (2007) http://dx.doi.org/10.1080/10705510701301834; Cheung & Rensvold (2002) http://10.1207/s15328007sem0902_5); Rutkowski & Svetina, (2014). https://doi.org/10.1177/0013164413498257

Line 564-565, Page 24&Table 2, Page 25: “Results show an excellent fit of all tested models to the data, the differences in ΔCFI and ΔRMSEA values were lower than .01 and .015, respectively”, please check the data again, isn't the ΔCFI for scalar invariance in the age subgroup outside the recommended range?

Response: The value was .010. The error was due to rounding decimals. We corrected the values in Table 2.

Discussion, Page 28-30: The discussion is more of a restatement of the results, and the authors are advised to move to a deeper level of discussion.

Conclusion Overall: The conclusion is not concise, it uses too much space and contains too much content, and the author is advised to rewrite it, preferably in two to three sentences.

Response: The Discussion and the Conclusion were changed following these suggestions.

Reviewer #3

Comment: The authors need to more fully explain the theoretical model on which they are basing their study, and the relevance of the research as designed and conducted. It is also important to correct the presumption that this an empirical study of psychodynamic psychotherapy--psychosynthesis holds very little concordance with psychoanalysis/psychodynamic psychotherapy even though its founder studied psychoanalysis.

Response: Thanks for this suggestion. We modified the Introduction (and the Title) accordingly.

Decision Letter 2

Yansong Li

19 Apr 2024

PONE-D-23-06766R2The development of the Multidimensional Will ScalePLOS ONE

Dear Dr. Bonacchi,

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.

Please submit your revised manuscript by Jun 03 2024 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.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Yansong Li

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

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

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 #2: (No Response)

Reviewer #4: (No Response)

**********

2. 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 #2: Yes

Reviewer #4: Yes

**********

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

Reviewer #2: Yes

Reviewer #4: Yes

**********

4. 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 #2: Yes

Reviewer #4: Yes

**********

5. 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 #2: Yes

Reviewer #4: Yes

**********

6. 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 #2: ID: PONE-D-23-06766R2

Title: The development of the Multidimensional Will Scale

Thank you for providing a chance to review this manuscript.

Recommendation: Minor revise.

The author has made careful revisions and responses, and the quality of the article has improved considerably. Congratulations! I have only the following minor issues to express my doubts:

Detailed information:

Title

Overall: Personally, I think the overly short title does not reflect the specificities of your study.

Abstract

Overall: Formatting issues need more attention, such as spaces before and after “=”, italicizing “N”, etc.

Overall: “(TLI = .91; CFI = .93; RMSEA = .06 [90%CI: .06‒.07])”, note the explanation of abbreviations when they are used for the first time.

Step 2: Results:

Overall: Why don't you use charts and graphs to show the results of the EFA more clearly, instead of using complex textual representations?

Step 3: Method

Overall: Why is it not consistent here with the previous text, with subheadings separating the analyzed sections.

Step 3: Discussion

Overall: An account of the research highlights, limitations, and future research directions related to this study is lacking and should be added.

Thank you and my best,

Your reviewer

Reviewer #4: Abstract:

• The sample needs labeling, such as Sample 1, Sample 2, to clarify whether there is any overlap between samples. Subsamples should also be coded for clarity, as the current description can lead to confusion.

• In the abstract, Step 2 needs a clearer description detailing the number of factors identified and their respective names.

• The presentation of the CFI model parameters is incomplete.

• The reliability section should specify the exact values for clarity and precision.

Introduction:

• The introduction contains an excessive focus on philosophical concepts and history, with a noticeable lack of recent psychological research on will.

• There is an absence of mention of other will-related questionnaires, multidimensional scale and psychological variables related to will (e.g., variables from questionnaires used as benchmarks). Recommend papers:

Reise, S. P., Bonifay, W. E., & Haviland, M. G. (2013). Scoring and Modeling Psychological Measures in the Presence of Multidimensionality. Journal of Personality Assessment, 95(2), 129–140. https://doi.org/10.1080/00223891.2012.725437

Osman, A., Lamis, D. A., Freedenthal, S., Gutierrez, P. M., & McNaughton-Cassill, M. (2014). The Multidimensional Scale of Perceived Social Support: Analyses of Internal Reliability, Measurement Invariance, and Correlates Across Gender. Journal of Personality Assessment, 96(1), 103–112. https://doi.org/10.1080/00223891.2013.838170

Wang, Y., Orosz, G., Chen, X., Miao, C., & Li, Y. (2024). Psychometric evaluation of the Chinese version of the Multidimensional Competitive Orientation Inventory. Scientific Reports, 14(1), 6591.

Step 1:

• A critical ratio analysis is necessary to demonstrate the item discriminability for each question.

Step 2:

• The sample exhibits a gender imbalance that needs addressing.

• The reported degrees of freedom (df) value for Bartlett’s test of sphericity appears unusual and should be verified.

Step 3:

• The rationale for item deletion needs to be more comprehensive to justify the decisions made during this step.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #2: No

Reviewer #4: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Jul 11;19(7):e0305477. doi: 10.1371/journal.pone.0305477.r006

Author response to Decision Letter 2


27 May 2024

Dear Editor,

Thank you for your letter dated April 23, 2024. We are sincerely grateful that you are willing to consider a revised draft of our manuscript for potential publication in PLOS One.

We thank you and the Reviewers for their additional comments and suggestions. We have revised the manuscript following their feedback. Attached, you will find a copy of the revised manuscript, which includes tracked changes, along with an unmarked version. Moreover, we have provided detailed point-by-point responses to the reviewer's comments.

Kind regards,

Andrea Bonacchi

.

Reviewer #2:

Overall: Personally, I think the overly short title does not reflect the specificities of your study

Response: Thank you for your suggestion. We propose a title reflecting more our study: “Measuring Strong, Skillful, Good and Transpersonal Will: The development of the Multidimensional Will Scale”.

Abstract

Formatting issues need more attention, such as spaces before and after “=”, italicizing “N”, etc.

Response: Thank you for noticing that. We modified accordingly.

Overall: “(TLI = .91; CFI = .93; RMSEA = .06 [90%CI: .06‒.07])”, note the explanation of abbreviations when they are used for the first time.

Response: Thak you, but, in line with many other published papers, we prefer not to include the explanation of fit indices abbreviations in the Abstract.

Step 2: Results:

Why don't you use charts and graphs to show the results of the EFA more clearly, instead of using complex textual representations?

Response: We apologize if they were missing in the last version, but figures are included in the manuscript submission and mentioned in the text.

Step 3: Method:

Why is it not consistent here with the previous text, with subheadings separating the analyzed sections.

Response: We employed different subheadings because we performed partially different analyses (e.g., CFA instead of EFA)

Discussion

An account of the research highlights, limitations, and future research directions related to this study is lacking and should be added.

Response: We added e description of some limitations and related research directions in the Discussion section,

Reviewer #4:

Abstract:

The sample needs labeling, such as Sample 1, Sample 2, to clarify whether there is any overlap between samples. Subsamples should also be coded for clarity, as the current description can lead to confusion.

In the abstract, Step 2 needs a clearer description detailing the number of factors identified and their respective names.

The presentation of the CFI model parameters is incomplete.

The reliability section should specify the exact values for clarity and precision.

Response: All the requested changes were made following the suggestions.

Introduction:

The introduction contains an excessive focus on philosophical concepts and history, with a noticeable lack of recent psychological research on will.

There is an absence of mention of other will-related questionnaires, multidimensional scale and psychological variables related to will (e.g., variables from questionnaires used as benchmarks)

Recommend papers: Reise, S. P., Bonifay, W. E., & Haviland, M. G. (2013). Scoring and Modeling Psychological Measures in the Presence of Multidimensionality. Journal of Personality Assessment, 95(2), 129–140.https://doi.org/10.1080/00223891.2012.725437

Osman, A., Lamis, D. A., Freedenthal, S., Gutierrez, P. M., & McNaughton-Cassill, M. (2014). The Multidimensional Scale of Perceived Social Support: Analyses of Internal Reliability, Measurement Invariance, and Correlates Across Gender. Journal of Personality Assessment, 96(1), 103–112.https://doi.org/10.1080/00223891.2013.838170

Wang, Y., Orosz, G., Chen, X., Miao, C., & Li, Y. (2024). Psychometric evaluation of the Chinese version of the Multidimensional Competitive Orientation Inventory. Scientific Reports, 14(1), 6591.

Response: In the first version of the manuscript there was an extensive presentation of some research results on will and volition. Following the reviewer's comments on this version, the introduction was rewritten and focused on the specific construct on which our scale was developed. However, we agree with the new reviewer's suggestion and have now deleted philosophical and historical concepts, but mentioned some theories on will and the related scales in the Introduction section. Finally, we apologize but we cannot understand how to include the mentioned “Recommended papers”.

Step 1:

A critical ratio analysis is necessary to demonstrate the item discriminability for each question.

Response: We are not sure we can understand this comment. In Step 1 we are testing content validity, and we asked some experts to rate the item relevance on a 3-point scale (from 1=no relevance to 3=high relevance) and to assign them the dimension to which they believed each item pertained. The results are reported in the “Content Validity” paragraph. Item discriminability is reported in Study 2 and Study 3 as item-total correlations.

Step 2:

The sample exhibits a gender imbalance that needs addressing.

Response: We deem that 66% of female participants do not represent a biased gender distribution.

The reported degrees of freedom (df) value for Bartlett’s test of sphericity appears unusual and should be verified.

Response: The value was checked and confirmed.

Step 3:

The rationale for item deletion needs to be more comprehensive to justify the decisions made during this step.

Response: In the “CFA and Reliability” section of Study 3, we explained that we aimed to shorten and strengthen the scale. Thus, we decided to drop one item with a low factor loading, and items that did not contribute to the internal consistency of the respective scale. We would like to point out that Item selection is a complex decision-making process involving selecting the most suitable items from a range of available possible solutions linked to the adoption of more or less restrictive selection criteria. In the paper, we made explicit the criteria we adopted to develop this scale.

Decision Letter 3

Yansong Li

31 May 2024

Measuring Strong, Skillful, Good and Transpersonal Will: The development of the Multidimensional Will Scale

PONE-D-23-06766R3

Dear Dr. Bonacchi,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager® and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Yansong Li

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. A. Descriptive statistics for 38-item Multidimensional Will Scale (MWS).

    B. Factor Loadings, inter-item correlations and internal consistency of the 30-item solution of the Multidimensional Will Scale (MWS). C. Factor Loadings, inter-item correlations, and internal consistency of the 23-item Multidimensional Will Scale (MWS).

    (DOCX)

    pone.0305477.s001.docx (27KB, docx)
    S1 Appendix. The initial 38 items of the Multidimensional Will Scale (MWS).

    (DOCX)

    pone.0305477.s002.docx (15.7KB, docx)
    S2 Appendix. The final 19 items of the Multidimensional Will Scale (MWS).

    (DOCX)

    pone.0305477.s003.docx (14.4KB, docx)
    S1 File

    (SAV)

    pone.0305477.s004.sav (25KB, sav)
    S2 File

    (SAV)

    pone.0305477.s005.sav (17.6KB, sav)
    S3 File

    (SAV)

    pone.0305477.s006.sav (24.5KB, sav)
    Attachment

    Submitted filename: Review report.docx

    pone.0305477.s007.docx (16.6KB, docx)
    Attachment

    Submitted filename: Response to Reviewers.docx

    pone.0305477.s008.docx (27.7KB, docx)

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


    Articles from PLOS ONE are provided here courtesy of PLOS

    RESOURCES