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. Author manuscript; available in PMC: 2021 Jun 1.
Published in final edited form as: Curr Dir Psychol Sci. 2020 Apr 14;29(3):219–226. doi: 10.1177/0963721420904453

Seed and Soil: Psychological Affordances in Contexts Help to Explain Where Wise Interventions Succeed or Fail

Gregory M Walton 1, David S Yeager 2
PMCID: PMC7384695  NIHMSID: NIHMS1550074  PMID: 32719574

Abstract

Psychologically “wise” interventions can cause lasting improvement in key aspects of people’s lives, but where will they work and where will they not? We consider the psychological affordance of the social context: Does the context in which the intervention is delivered afford the way of thinking offered by the intervention? If not, treatment effects are unlikely to persist. Change requires planting good seeds (a more adaptive perspective) in fertile soil in which that seed can grow (a context with appropriate affordances). We illustrate the role of psychological affordances in diverse problem spaces, including recent large-scale trials of growth-mindset and social-belonging interventions designed specifically to understand heterogeneity across contexts. We highlight how the study of psychological affordances can advance theory about social contexts and inform debates about replicability.

Keywords: intervention, construal, contexts, education, health


Brief psychologically “wise” interventions address how people make sense themselves, other people, and social circumstances. They can produce lasting improvement in diverse areas of people’s lives (see Walton & Wilson, 2018; for a meta-analysis, see Lazowski & Hulleman, 2016; see also Cohen & Sherman, 2014; Dweck & Yeager, 2019; Harackiewcz & Priniski, 2018; Walton & Crum, 2020; Yeager & Walton, 2011). How can we understand where these interventions will be more and less effective?

This question informs both efforts to address social problems and basic theory. Mapping how ecologically valid social contexts respond to psychologically precise manipulations (i.e., interventions) can shed light on contexts (Lewin, 1952; see also Bronfenbrenner, 1977). Further, these efforts inform debates about replication.

We argue that the success of wise interventions depends on features of contexts that make an adaptive perspective possible, what we call psychological affordances (cf. Diekman et al., 2010; Kruglanski et al., 2014; Reis, 2008; Steele & Sherman, 1999). As Gibson (1977) theorized, physical spaces afford particular behavioral opportunities. For a person, a solid surface affords standing upon; a small round object affords throwing. Such objective affordances permit behaviors. Yet social contexts also afford psychological opportunities. They make possible, or they foreclose, particular ways of experiencing, interpreting, and responding to events. If the context does not afford a proffered perspective, benefits are unlikely to persist. Consider three examples based on recent research (Table 1).

Table 1.

Lasting change depends on psychological affordances.

Example
• Green beans in a dining hall are labeled “sizzling,” so you try some. But if they tasted like mush would you eat more of them (Turnwald et al., 2019)?
• You learn that intelligence can grow if you persist on challenging tasks. But if the norm in your school means that you would sacrifice your social status if you chose harder school work, would you hold on to this belief? Would you still pursue challenges (Yeager et al., 2019)?
• You learn that it is normal to worry whether you belong at first in college and this gets better with time. But if your college offers limited opportunities for people “like you” to belong, would this perspective help you navigate college successfully (Walton, Murphy, et al., 2019)?

Objective affordances are relative to an actor; thus, water affords walking to a water bug but not to a person. So it is with psychological affordances. An all-male club may afford belonging to men but not to women.

Wise interventions offer people a perspective (or: “mindset,” “narrative,” “construal,” or “belief”) for understanding circumstances they face (Walton & Wilson, 2018). People may then “try out” that perspective. To what extent can the perspective fit with and live authentically in their context? Is it legitimate for me here? Does experience confirm it? And is it useful? Does it help me achieve my goals here?

To afford a perspective is not to have it, or even to facilitate it; it is to permit it and, thus, if introduced, to allow that way of thinking to persist and guide people’s behaviors and responses. On this view, effective interventions require planting a high-quality seed (an adaptive belief system) in fertile soil where that seed can grow (a context that affords the proffered belief system) (see Yeager et al., 2019).

To date research has focused on other sources of treatment-effect heterogeneity, that is, factors that cause treatment effects to be smaller or larger (Weiss et al., 2014). These include pragmatic factors, such as whether people attend to intervention materials and their quality and relevance (Yeager et al., 2016) and objective (or “structural”) affordances, such as the quality of instruction (Dee, 2015). Such factors are important but represent preconditions for the study of psychological affordances. If an intervention initiates psychological change and objective opportunities for improvement are present, we can learn how the intervention message is afforded in the context or not.

Only recently, with large-scale, multi-site trials and disciplined pre-analysis plans, have researchers been able to examine psychological affordances directly and convincingly. Turnwald and colleagues (2019) developed an intervention to give vegetable dishes indulgent labels (e.g., “Creamy Homestyle Cauliflower Mash”). Across several university dining halls (185 days, 137,842 diner decisions), this increased their selection and consumption with the strongest gains in dining halls with the tastiest vegetables (see Woolley & Fishbach, 2016). Yeager and colleagues (2019) tested a growth-mindset intervention in a nationally representative sample of 65 US high schools (N=12,486 students). The greatest gains in the primary outcome—9th grade GPA—arose in schools in which peers sought out academic challenges; students attending schools with weaker challenge-seeking norms showed smaller benefits. Walton, Murphy, and colleagues (in prep) tested a social-belonging intervention among students entering 21 diverse colleges and universities (N=26,406 students). The greatest gains in full-time first-year completion rates arose for students whose race × first-generation-status group experienced greater levels of belonging in their college over the first-year absent treatment—that is, in contexts that afforded more opportunities to belong.

A psychological intervention offers a way of making sense of daily experience. People test out that perspective, almost as a hypothesis (Walton & Brady, 2017). If the hypothesis is supported and helps people navigate daily life, lasting improvement may follow. But if the hypothesis is not supported—if it feels inauthentic or misfitting—its impact may whither and fade.

Social Contexts as Opportunities for Theory Development in Psychology

A focus on psychological affordances recalls classic field theory (Lewin, 1952). Rather than understanding only a psychological process in isolation—what was taught in the intervention—we can understand what psychologies contexts afford.

Psychological research often begins by attending only indirectly to contexts. In classic laboratory experiments, researchers create an optimal context in which to observe a causal relationship of interest (“Does X affect Y?”). The broader context is treated secondarily, as something to get right to observe this relationship—a matter of practical wisdom relevant only to experimental design. Only later may researchers subject the context to formal theory and inquiry, exploring conditionality (e.g., Noah et al., 2018; Zanna & Fazio, 1982).

Initial field experiments are similar. A researcher who has shown that X can affect Y in the lab may ask whether the same relationship can hold in the field. The researcher now has the luxury of selecting a field setting—presumably one that will serve as an optimal environment in which to observe the focal relationship.

Both kinds of studies are demonstration studies.

They show that X can affect Y, in the lab or the field, under some (usually underspecified) set of conditions (Bryk et al., 2013). While valuable, if we stop there we leave basic questions such as where and with whom the psychological process can hold unanswered (e.g., Thoman et al., 2017). We do not learn what psychological states people could have in contexts.

Further, from an applied perspective, if we take social problems seriously we cannot choose our contexts. We must study the world as it comes to us. In extending an intervention to diverse populations, especially to those most afflicted by a problem, we must ask in what kinds of contexts an intervention will be effective and in what kinds of contexts it will not. This means contending with the complicated root causes that made the problem appear in the first place; sometimes these may be remedied through psychological intervention and sometimes not.

Vulnerability and Opportunity

A theory of psychological affordances can resolve an ongoing puzzle: Will wise interventions be more effective in negative contexts where outcomes are worst? Or in positive contexts that reinforce more adaptive mindsets?

We suggest that, even as people entertain perspectives that undermine their outcomes, contexts can afford more adaptive ways of thinking. It is at this intersection of vulnerability and opportunity that wise interventions may be most potent. Concretely, this means we should predict effects for individuals at-risk of negative perspectives that could undermine their outcomes in contexts that afford more adaptive perspectives.

When cultural contexts evoke negative ways of thinking, people ask whether those views hold in their local circumstance (Dweck & Yeager, 2019; Walton & Brady, 2017; Walton & Wilson, 2018). If local settings do not effectively rule them out, negative views may become entrenched.

Why are indulgent food labels important? In part because common cultural products (e.g., restaurant menus) fail to label healthy foods in attractive ways (Turnwald et al., 2017), linking health to bad taste (Raghunathan et al., 2006). Why are growth-mindset interventions needed? Because we live in a world with reinforcing fixed-mindset influences, such as instructors who overemphasize talent (Leslie et al., 2015) and parents who praise children for their abilities, not their processes (Gunderson et al., 2013). Why are belonging interventions important? Because a history of race-based exclusion permeates education (Walton & Brady, 2020). In each case, the sociocultural context raises a worrisome prospect: “The green beans might be yucky,” “I might be dumb at math,” “People like me might not belong in college.”

People then use that prospect to interrogate their experience, “Is this [negative view] true here?” (Walton & Brady, 2017). Often the context is ambiguous in this regard; contexts, unlike interventions, are rarely designed with a narrative purpose in mind, so people must go beyond the information given to infer answers to foundational questions.

This ambiguity allows wise interventions to work. Absent intervention, hypothesis-confirming processes can allow people to perceive daily experience as confirming a feared view, undermining outcomes over time (Dweck & Yeager, 2019; Walton & Brady, 2020). Maladaptive cycles may be most potent when characteristics of contexts evoke threatening cultural narratives, such as school settings in which a disadvantaged group is underrepresented or performs poorly (Hanselman et al., 2014; Walton et al., 2015).

Wise interventions interrupt this process and help people realize the psychological potential already present in the context. The green beans may be tasty but if they aren’t labeled “sizzling” I might not try them. Peers may seek out challenges but if I’m worried I’m dumb I won’t pursue challenges or realize the gains in learning that could result. My college may offer opportunities for people like me to belong but if I see feelings of homesickness or academic struggles as meaning I don’t belong I won’t pursue these opportunities.

This theory developed from recent large-scale trials of growth-mindset and social-belonging interventions designed specifically to study heterogeneity. See Table 2. These trials feature large samples of students within schools randomized to condition (12,486 and 26,406, respectively), large numbers of school sites intentionally sampled to permit cross-site comparisons (65 and 21, with the latter further divided into 365 race × first-generation-status × college × cohort groups), and preregistered hypotheses and analyses. Such precautions are necessary because heterogeneity findings can be unreliable (Bloom & Michalopoulos, 2013), especially with small samples (Sherman & Pashler, 2019). Moreover, each intervention was homogenously persuasive across sites, as assessed by manipulation checks. The interventions sowed new ways of thinking across sites; heterogeneity in outcomes could then reflect the soil in which those seeds were planted.

Table 2.

A sweet spot for intervention: Growth-mindset and social-belonging treatment effects are greatest for students who are vulnerable to a deleterious way of thinking in contexts that afford opportunities for a more adaptive perspective.

Intervention Psychological Vulnerability Psychological Opportunity (Affordance)
Conceptualization Operationalization Conceptualization Operationalization
Growth-mindset of intelligence: Conveys that intelligence can grow with hard work and effective strategies; thus, remedies the thought “I’m dumb” in response to academic setbacks (Yeager et al.,2019) Students who are struggling academically, who may entertain negative thoughts about their abilities most. Students’ performance in the bottom half of the school distribution prior to treatment. Students who attend schools with positive challenge-seeking norms or teachers with a growth mindset—i.e., contexts that afford a growth mindset. A high number of challenging math problems chosen by peers to work on absent treatment, or teachers who endorse a growth mindset.
Social-belonging: Conveys that challenges to belonging are normal in an academic transition for all students and can improve with time; thus, remedies the thought “People like me don’t belong here” in response to early social adversities (Walton, Murphy, et al., in prep; see also Walton & Brady, 2020) Students from backgrounds that are disadvantaged in a context, such as racial-ethnic minority and first-generation college students, who face greater uncertainties about belonging. Historic patterns of low performance by the student’s group in their college context, with group defined by race × first-generation status, which may both reflect and signal threat in the context. Students who attend; schools that offer opportunities for people like them to belong—i.e., contexts that afford belonging. A high average level of belonging experienced in the spring term in students’ race × first-generation status group at their college in their cohort absent treatment.

Defining vulnerability and opportunity.

While both belonging and growth-mindset interventions illustrate the intersection between psychological vulnerabilities and opportunities, they do so in different ways that reflect social-psychological theory. The belonging intervention arose from research on how negative stereotypes can place people’s social standing at risk (i.e., stereotype-and social-identity-threat; Steele et al., 2002). It mitigates the inference, “People like me might not belong.” Because stereotypes are applied to groups, vulnerability and opportunity are assessed at the group level (i.e., group-level historic performance, group-level experienced belonging). By contrast, growth-mindset developed from learned helplessness. Because the vulnerability is at the individual level, “I might be dumb,” individual student’s prior performance is assessed, to identify struggling students at-risk for fixed failure-induced thoughts, and the opportunity to realize a more adaptive mindset is assessed at the school level (e.g., school-wide challenge-seeking norms).

These definitions emerged from basic theory, pilot studies, and disciplined pre-analysis plans. They are to be distinguished from definitions that are post hoc and risk chasing noise in data. The theory of psychological affordances is not a license to fish for statistically significant but ultimately spurious subgroup effects (Tipton et al., 2019). It is a call to understand the general principles that underlie psychological vulnerabilities and affordances and the best ways to measure these (Yeager et al., in prep).

Changing contexts.

Sometimes it will be necessary to complement a wise intervention with a change in the context to make the proffered way of thinking legitimate and useful. As Lewin (1952) emphasized, manipulating a system is a powerful way to learn about its causal structure. Context × individual factorial field-experiments, and related quasi-experiments, complement efforts to measure affordances across contexts. See Table 3.

Table 3.

Change requires good seeds and fertile soil.

Some contexts do not afford a more adaptive perspective (poor soil) Some contexts afford but do not yet give people an adaptive perspective (fertile soil)
Examples • Dining hall with bad tasting healthy dishes
• A peer school environment in which academic challenge-seeking is uncool
• A college environment with limited opportunities for people like you to belong
• Dining hall with tasty healthy dishes
• A peer school environment in which students seek out academic challenges
• A college environment with opportunities for people like you to belong
Is a change in the context (soil) needed? What kind? Yes
• Tastier healthy dishes
• Peer norms for challenge seeking
• Greater opportunities for belonging for one’s group
Not necessarily
Is a change in individuals’ psychology needed (a good seed)? What kind? Yes
• Indulgent labels on healthy foods
• Growth mindset intervention
• Social-belonging intervention

One experiment found that a wise intervention to promote a purpose for working hard on learning tasks did not improve performance unless students also received an ostensibly independent note from their teacher affirming this purpose (Reeves et al., under review). Going beyond a one-time affordance, another study found that helping adolescents reentering school from juvenile detention consider how developing a relationship with an adult in school could help them achieve their goals only modestly improved students’ outcomes. But when a letter was also delivered to an adult of the student’s choosing, in which the student asked for the adult’s support, recidivism dropped sharply (Walton, Okonofua et al., in prep). Such studies illustrate the causality of a receptive context.

Correspondingly, it may be necessary to complement structural reforms with wise interventions that help people take advantage of opportunities. If a student receives high-quality academic feedback but thinks this feedback reflects bias it may go unused (Yeager et al., 2014).

Generalizability and Heterogeneity, Not Replicability or Average Effect Size

Recent methodological debates in psychology have focused on replicability: Can you produce the same effect again? Typically, these debates have centered on laboratory experiments and the quality of the manipulation or procedures (e.g., Noah et al., 2018). Further, multi-lab replications have yielded results that seem to contradict this paper: no evidence that differences in contexts explain variations in effects (Klein et al., 2018). But these studies are more like tests of a manipulation check in a wise intervention; they ask whether a treatment can initiate a psychological process moments later. Well-conducted wise interventions begin there. Indeed, in the examples above, there was no contextual heterogeneity for manipulation checks.

Our focus is on additional issues that arise in field contexts over time. Any study in which most or all of the behavior that constitutes the outcome of interest happens months or years after the experimental session will depend on that broader context. In field settings, the question of whether an effect “replicates,” posed as it is without regard for the social context, and without specifying whether it refers to the initial psychological process or a downstream outcome, is essentially nonsensical. Instead, the question is whether an intervention can reliably produce meaningful benefits, in a defined population and context of interest, using the same or similar methods (Tipton & Olsen, 2018). Likewise, an exclusive focus on materials becomes myopic. We must also consider whether a given intervention is needed and sustainable in a context.

These questions have direct implications for experimental design—implications that to date have received little attention. Multi-site replications have been ad hoc, allowing teams anywhere to contribute data, without scientific sampling (Klein et al., 2018). But to learn about heterogeneity it is necessary to carefully construct heterogeneous samples. Usually, this means recruiting contexts and populations in which an intervention is expected to produce lesser effects, for instance through stratified random sampling from a defined population (Tipton et al., 2019). Inevitably such efforts will produce smaller average effect-size estimates, but they allow for the identification of boundary conditions and reliable estimates within populations and contexts of interest. Indeed, a robust model of context-heterogeneity raises the question of what value, if any, an estimate of average treatment effects in arbitrary samples has for basic theory or for application.

What would a literature on interventions look like without a theory of affordances? It would be cursed with average effect sizes, some observations so large as to court skepticism, others disappointingly small. The intervention might seem like magic—either a magic bullet to be used everywhere (promoting overuse) or invalid (never used) (Yeager & Walton, 2011). The more we can move from adversarial conversations about whether an effect is “real” toward research that predicts where an effect holds and where it does not (Gelman, 2015), the better our theoretical models and the more powerful our applications.

Conclusion

Psychological interventions are done with people, not on people, and these people live in dynamic and diverse social contexts. To predict intervention effects and to advance theory, application, and replicability, we need to understand where and when people will accept the way of thinking put forth by the intervention and be able to use it in their lives and where they will not.

Acknowledgments

1. We thank Angela Duckworth, Paul Hanselman, Shanette Porter, Beth Tipton, and Tim Wilson for helpful conversations and feedback. Preparation of this manuscript was supported by the William T. Grant Foundation, the National Science Foundation under grant number HRD 1761179, and by National Institute of Child Health and Human Development (Grant No. 10.13039/100000071 R01HD084772-01, and Grant No. P2C-HD042849, to the Population Research Center [PRC] at The University of Texas at Austin). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health and the National Science Foundation.

References

  1. Bloom HS & Michalopoulos C. (2013). When is the story in the subgroups? Strategies for interpreting and reporting intervention effects for subgroups. Prevention Science, 14, 179–188. [DOI] [PubMed] [Google Scholar]
  2. Bronfenbrenner U. (1977). Toward an experimental ecology of human development. American Psychologist, 32(7), 513–531. 10.1037/0003-066X.32.7.513 [DOI] [Google Scholar]
  3. Bryk A. Yeager DS, Hausman H, Muhich J, Grunow A, LeMahieu P, & Gomez L. (2013). Improvement research carried out through networked communities: Accelerating learning about practices that support more productive student mindsets. A White Paper prepared for the White House meeting on “Excellence in Education: The Importance of Academic Mindsets.” [Google Scholar]
  4. Cohen GL, & Sherman DK (2014). The psychology of change: Self-affirmation and social psychological intervention. Annual Review of Psychology, 65, 333–371. [DOI] [PubMed] [Google Scholar]
  5. Dee TS (2015). Social identity and achievement gaps: Evidence from an affirmation intervention. Journal of Research on Educational Effectiveness, 8, 149–168. [Google Scholar]
  6. Diekman AB, Brown ER, Johnston AM & Clark EK (2010). Seeking congruity between goals and roles: A new look at why women opt out of science, technology, engineering, and mathematics careers. Psychological Science, 21, 1051–1057. [DOI] [PubMed] [Google Scholar]
  7. Dweck CS & Yeager DS (2019). Mindsets: A view from two eras. Perspectives on Psychological Science, 14, 481–496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Gelman A. (2015). The connection between varying treatment effects and the crisis of unreplicable research: A bayesian perspective. Journal of Management 41(2), 632–643. [Google Scholar]
  9. Gibson JJ (1977). The theory of affordances In Shaw R. and Bransford J. (Ed.), Perceiving, Acting, and Knowing (pp. 67–82). Hillsdale, NJ: Lawrence Erlbaum. [Google Scholar]
  10. Gunderson L, Gripshover S, Romero C, Goldin-Meadow S, Dweck CS, Levine S. (2013). Parent praise to 1–3 year-olds predicts children’s motivational frameworks 5 years later. Child Development, 84, 1526–1541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Hanselman P, Bruch SK, Gamoran A, & Borman GD (2014). Threat in context: School moderation of the impact of social identity threat on racial/ethnic achievement gaps. Sociology of Education, 87, 106–124. 10.1177/0038040714525970. [DOI] [Google Scholar]
  12. Harackiewicz JM & Priniski SJ (2018). Improving student outcomes in higher education: The science of targeted intervention. Annual Review of Psychology, 69(1), 409–435. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Klein R, Vianello M, Hasselman F, Adams B, Adams R, Alper S, … Nosek B. (2018). Many Labs 2: Investigating Variation in Replicability Across Samples and Settings. Advances in Methods and Practices in Psychological Science, 1(4), 443–490. 10.1177/2515245918810225 [DOI] [Google Scholar]
  14. Kruglanski AW, Chernikova M, Rosenzweig E, & Kopetz C. (2014). On motivational readiness. Psychological Review, 121, 367–388. [DOI] [PubMed] [Google Scholar]
  15. Lazowski RA, & Hulleman CS (2016). Motivation Interventions in Education: A Meta-Analytic Review. Review of Educational Research, 86(2), 602–640. 10.3102/0034654315617832. [DOI] [Google Scholar]
  16. Leslie S-J, Cimpian A, Meyer M. & Freeland E. (2015). Expectations of brilliance underlie gender distributions across academic disciplines. Science, 347, 262–265. [DOI] [PubMed] [Google Scholar]
  17. Lewin K. (1952). Group decision and social change In Swanson GE, Newcomb TM, & Hartley EL (Eds.), Readings in social psychology (2nd ed., pp. 330–344). New York, NY: Holt. [Google Scholar]
  18. Noah T, Schul Y, & Mayo R. (2018). When both the original study and its failed replication are correct: Feeling observed eliminates the facial-feedback effect. Journal of Personality and Social Psychology, 114, 657–664. [DOI] [PubMed] [Google Scholar]
  19. Raghunathan R, Naylor RW, & Hoyer WD (2006). The unhealthy=tasty intuition and its effects on taste inferences, enjoyment, and choice of food products. Journal of Marketing, 70(4), 170–184. [Google Scholar]
  20. Reeves SL Henderson MD, Cohen GL, Steingut RR, Hirschi Q, & Yeager DS (under review). Subtle differences in teacher language activate the effects of a purpose for learning intervention. [Google Scholar]
  21. Reis HT (2008). Reinvigorating the concept of situation in social psychology. Personality and Social Psychology, Review, 12, 311–329. [DOI] [PubMed] [Google Scholar]
  22. Sherman RA, & Pashler H. (2019, May 24). Powerful Moderator Variables in Behavioral Science? Don’t Bet on Them (Version 3). 10.31234/osf.io/c65wm [DOI]
  23. Steele CM, Spencer SJ, & Aronson J. (2002). Contending with group image: The psychology of stereotype and social identity threat In Zanna MP (Ed.), Advances in experimental social psychology, Vol. 34, pp. 379–440). San Diego, CA, US: Academic Press. [Google Scholar]
  24. Steele CM & Sherman DA (1999). The psychological predicament of women on welfare In Prentice D. & Miller D. (Eds.) Cultural Divides: Understanding and Overcoming Group Conflict. Pp. 393–428. New York: Russell Sage Foundation. [Google Scholar]
  25. Thoman DB, Muragishi GA, & Smith JL (2017) Research microcultures as socialization contexts for underrepresented science students. Psychological Science, 28(6), 760–773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Tipton E. & Olsen R. (2018) A review of statistical methods for generalizing from evaluations of educational interventions. Educational Researcher, 47(8): 516–524. [Google Scholar]
  27. Tipton E, Yeager D, Schneider B, & Iachan R. (2019). Designing probability samples to identify sources of treatment effect heterogeneity To appear in Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment (Editor: Lavrakas PJ) New York, NY: Wiley. [Google Scholar]
  28. Turnwald BP, Bertoldo JD, Perry MA, Policastro P, Timmons M, Bosso C, Connors P, Valgenti RT, Pine L, Challamel G, Gardner CG, Crum AJ (2019). Increasing Vegetable Intake by Emphasizing Tasty and Enjoyable Attributes: A Randomized Controlled Multisite Intervention for Taste-Focused Labeling. Psychological Science, 30(11), 1603–1615. 10.1177/0956797619872191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Turnwald BP, Jurafsky D, Conner A, & Crum AJ (2017). Reading between the menu lines: Are restaurants’ descriptions of “healthy” foods unappealing? Health Psychology, 36(11), 1034–1037. [DOI] [PubMed] [Google Scholar]
  30. Walton GM & Brady ST (2017). The many questions of belonging In Elliot A, Dweck C, & Yeager D. (Eds.). Handbook of Competence and Motivation (2nd Edition): Theory and Application (pp. 272–293), Guilford Press: New York. [Google Scholar]
  31. Walton GM & Brady ST (2020). The social-belonging intervention In Walton GM & Crum AJ (Eds.). Handbook of Wise Interventions. Guilford Press: New York. [Google Scholar]
  32. Walton GM & Crum AJ (Eds.) (2020). Handbook of Wise Interventions. Guilford Press: New York. [Google Scholar]
  33. Walton GM, Murphy MC, Logel C, Yeager DS, Goyer JP, Brady ST, Paunesku D, Fotuhi O, Boldorn A, Boucher KL, Carter E, Gopalan M, Henderson A, Kroeper KM, Murdock-Perriera LA, Ablorh T, Chen S, Fisher P, Galvan M, Gilbertson MK, Hulleman CS, Forestier JL, Lok C, Mathians K, Muragishi GA, Netter M, Ozier E, Smith EN, Thoman DB, Williams H, Wilmot M, Li XA, & Krol N. (in prep). [Where and with whom does a brief social-belonging intervention raise college achievement?] [Google Scholar]
  34. Walton GM, Okonofua JA, Remington KS, Hurst D, Pinedo A, Ospina JP, Weitz E, Tate H, & Eberhardt JL (in prep). [A brief intervention to orient students and teachers around relationships among adolescents reentering school from the juvenile justice system. [Google Scholar]
  35. Walton GM, Logel C, Peach J, Spencer S, & Zanna MP (2015). Two brief interventions to mitigate a “chilly” climate transform women’s experience, relationships, and achievement in engineering. Journal of Educational Psychology, 107, 468–485. [Google Scholar]
  36. Walton GM & Wilson TD (2018). Wise interventions: Psychological remedies for social and personal problems. Psychological Review, 125, 617–655. [DOI] [PubMed] [Google Scholar]
  37. Weiss M, Bloom H. & Brock T. (2014) A Conceptual framework for studying the sources of variation in program effects. Journal of Policy Analysis and Management 33, 3, 778–808. [Google Scholar]
  38. Woolley K, & Fishbach A. (2016). For the fun of it: Harnessing immediate rewards to increase persistence in long-term goals. Journal of Consumer Research, 42, 952–966. [Google Scholar]
  39. Yeager DS, Hanselman P, Muller C, & Crosnoe R. (in prep). [Mindset × Context Theory: How Agency and Structure Interact to Shape Human Development and Social Inequality]. [Google Scholar]
  40. Yeager DS, Hanselman P, Walton GM, Murray J, Crosnoe R, Muller C, Tipton E, Schneider B, Hulleman CS, Hinojosa CP, Paunesku D, Romero C, Flint K, Roberts A, Trott J, Iachan R, Buontempo J, Hooper SY, Carvalho C, Hahn R, Gopalan M, Mhatre P, Ferguson R, Duckworth AL, & Dweck CS (2019). A national experiment reveals where a growth mindset improves achievement. Nature, 574, 364–369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Yeager DS, Purdie-Vaughns V, Garcia J, Apfel N, Brzustoski P, Master A, Hessert WT, & Williams ME (2013). Breaking the cycle of mistrust: Wise interventions to provide critical feedback across the racial divide. Journal of Experimental Psychology: General, 143, 804–824. [DOI] [PubMed] [Google Scholar]
  42. Yeager D, Romero C, Hulleman C, Schneider B, Hinojosa C, Lee HY, O’Brien J, Flint K, Roberts A, Trott J, Greene D, Walton GM, & Dweck C. (2016). Using design thinking to make psychological interventions ready for scaling: The case of the growth mindset during the transition to high school. Journal of Educational Psychology, 108, 374–391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Yeager DS & Walton GM (2011). Social-psychological interventions in education: They’re not magic. Review of Educational Research, 81, 267–301. [Google Scholar]
  44. Zanna MP & Fazio RH (1982) The attitude-behavior relation: Moving toward a third generation of research In Zanna MP, Higgins ET, & Herman CP (Eds.), Consistency in Social Behavior: The Ontario Symposium (Vol. 2), Erlbaum, Hillsdale, NJ, 283–301. [Google Scholar]

Recommended Readings

  1. Bailey D, Duncan GJ, Odgers CL, & Yu W. (2017). Persistence and fadeout in the impacts of child and adolescent interventions. Journal of Research on Educational Effectiveness, 10(1), 7–39.A review of child and adolescent interventions aimed at skill-building and models of how they achieve lasting change, including the role of sustaining environments.
  2. Gibson JJ (1977). The theory of affordances In Shaw R. and Bransford J. (Ed.), Perceiving, Acting, and Knowing (pp. 67–82). Hillsdale, NJ: Lawrence Erlbaum.An introduction to objective affordances, including how physical spaces and objects afford behavioral opportunities and how these opportunities can differ for different actors.
  3. Harackiewicz JM & Priniski SJ (2018). Improving student outcomes in higher education: The science of targeted intervention. Annual Review of Psychology, 69(1), 409–435.A review of targeted psychological interventions in higher education, different types, and issues of process, replication, and moderation.
  4. Walton GM & Wilson TD (2018). Wise interventions: Psychological remedies for social and personal problems. Psychological Review, 125, 617–655.A comprehensive review of psychologically “wise” interventions, which address how people make sense of themselves, other people, and social situations, including how deleterious meanings arise from contexts and can be changed to help people flourish over time in diverse areas of their lives.
  5. Yeager DS, Hanselman P, Walton GM, Murray J, Crosnoe R, Muller C, … Dweck CS (2019). A national experiment reveals where a growth mindset improves achievement. Nature, 574, 364–369.A seminal test of a growth-mindset intervention delivered to 9th grade students in a nationally representative sample of 65 U.S. high schools with a focus on where and with whom the intervention improves 9th grade achievement.

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