Teacher Mindsets Help Explain Where a Growth-Mindset Intervention Does and Doesn't Work

Beyond Gender and Race: The Representation of Concealable Identities Among College Science Instructors at Research Institutions

Concealable stigmatized identities (CSIs) are identities that can be kept hidden and carry negative stereotypes. To understand the potential influence instructors have as role models, we must first explore the identities instructors have and whether they disclose those identities to undergraduates. We surveyed national samples of science instructors (n = 1248) and undergraduates (n = 2428) at research institutions to assess the extent to which instructors hold CSIs, whether they reveal those identities to undergraduates, how the prevalence of CSIs among instructors compares to their prevalence among undergraduates, and the reasons instructors reveal or conceal their CSIs. The most common CSIs instructors reported were having anxiety (35%) and being a first-generation college student (29%). Relatively few instructors revealed CSIs to students. The largest mismatches of CSI prevalence were for struggling academically in college (-30%) and having anxiety (-25%); all mismatches grew when accounting for instructor CSI disclosure, highlighting that students perceive fewer role models of scientists with CSIs than actually exist.

Growth Mindset Messages from Instructors Improve Academic Performance Among First-Generation College Students

First-generation (FG) college students (i.e., those for whom neither parent/guardian obtained a bachelor's degree) experience more barriers in college, compared with continuing-generation students. These barriers are compounded by subtle messages from instructors that convey the idea that natural talent is necessary for success in scientific fields. In contrast, growth mindset messages communicate that ability can improve with effort, help-seeking, and using productive study strategies. In a large enrollment introductory biology course, students were randomly assigned to receive email messages from their instructor after the first two exams containing either a growth mindset or control message. The intervention improved grades in the course for everyone, on average, compared with control messages, and were especially beneficial for FG students. This increase in performance was partially mediated by increased activity accessing course materials on the course website. This study provides preliminary evidence that instructors communicating growth mindset messages can support FG students' performance.

Helping students to face academic failures: Evaluation of a growth mindset intervention among primary school students in China

Students commonly struggle with academic failure. Innovative interventions aimed at improving the essential components of academic success are therefore needed. The aim of this study was to test whether teaching a growth mindset of intelligence (the belief that intelligence is malleable and can be developed) could improve students' attitudes towards failure and academic outcomes. In particular, we explored whether students' perceived parental beliefs about failure influenced the effect of a growth mindset intervention. We tested the 8-session growth mindset intervention in a sample of 1766 Chinese primary school students (age M = 10.61; SD = .99). Measures of mindset of intelligence, failure belief, positive strategies, and academic achievement were completed at baseline (T1) and 3-month follow-up (T2). In comparison to the control group, students in the intervention group reported a stronger growth mindset of intelligence at 3-month follow-up, which in turn indirectly increased their positive failure belief and inclinations of positive strategies when facing failures. Moreover, these beneficial effects of the growth mindset intervention were sustained only when students perceived relatively more supportive parental beliefs about failure. Additionally, the growth mindset intervention to some extent protected students' academic achievement from a downward trajectory at follow-up. Collectively, the findings highlight the promising effects of a growth mindset intervention on students' academic-related outcomes.

Interplay of Adolescents' and Parents' Mindsets of Socioeconomic Status on Adolescents' Stress-Related Outcomes

The reciprocity and variation of values and beliefs are dynamic features of the parent-child relationship. Parents and adolescents may hold congruent or incongruent views regarding the malleability of socioeconomic status (mindset of SES), potentially influencing adolescents' psychological and physiological stress outcomes, as reflected in stress perceptions and the hypothalamic-pituitary-adrenal (HPA) axis functioning. The current study investigated how patterns of parent-adolescent congruence and incongruence in mindset of SES were associated with adolescents' perceived stress and diurnal cortisol patterns four months later. A total of 253 adolescents (Mage = 12.60, 46.2% girls) and their parents (Mage = 40.09 years, 59.5% mothers) participated in this study. Polynomial regression analyses and response surface analyses showed that adolescents perceived lower levels of stress when they themselves or their parents reported a stronger growth mindset of SES. Additionally, adolescents with a stronger growth mindset of SES also exhibited a steeper diurnal cortisol slope. Moreover, parents' mindset significantly interacted with adolescents' mindset to influence adolescents' diurnal cortisol patterns such that when adolescents hold weaker growth mindset of SES, those with higher parental growth mindsets had significantly higher cortisol awakening response and steeper diurnal cortisol slope. Furthermore, adolescents who showed incongruence with their parents but had averagely stronger growth mindsets of SES reported a significantly steeper diurnal cortisol slope than those who had averagely weaker growth mindsets with their parents. The findings point to the beneficial impacts of the growth mindset of SES on stress-related outcomes among adolescents, as well as the significance of considering both parents' and adolescents' mindsets when exploring these associations.

Unlocking the Benefits of Gender Diversity: How an Ecological-Belonging Intervention Enhances Performance in Science Classrooms

Gender diversity signals inclusivity, but meta-analyses suggest that it does not boost individual or group performance. This research examined whether a social-psychological intervention can unlock the benefits of gender diversity on college physics students' social and academic outcomes. Analyses of 124 introductory physics classrooms at a large research institution in the eastern United States (N = 3,605) indicated that in classrooms doing "business as usual," cross-gender collaboration was infrequent, there was a substantial gender gap in physics classroom belonging, and classroom gender diversity had no effect on performance. The ecological-belonging intervention aimed to establish classroom norms that adversity in the course is normal and surmountable. In classrooms receiving the intervention, cross-gender interaction increased 51%, the gender gap in belonging was reduced by 47%, and higher classroom diversity was associated with higher course grades and 1-year grade point average for both men and women. Addressing contextual belongingness norms may help to unlock the benefits of diversity.

What makes a role model motivating for young girls? The effects of the role model's growth versus fixed mindsets about ability and interest

Successful women role models can be-but are not always-effective in increasing pursuit of science, technology, engineering, and mathematics (STEM) careers among girls. What makes a woman role model motivating for young girls? An experimental study (N = 205 girls aged 5-8 years; 42.0% girls of color) investigated the effects of a role model's messages about her own ability and interest. The model portrayed her ability and interest as quantities that developed over time (a growth mindset) or that had always been present (a fixed mindset). The role model's growth (vs. fixed) mindset messages about ability-but not interest-increased girls' interest and self-efficacy in the scientist's field, but these effects were observed only among girls of color (ds = 0.56 and 0.65 for interest and self-efficacy, respectively). The findings contribute to theory on role models and growth mindsets, and they also have implications for the design of effective role model interventions.

Optimally generate policy-based evidence before scaling

Social scientists have increasingly turned to the experimental method to understand human behaviour. One critical issue that makes solving social problems difficult is scaling up the idea from a small group to a larger group in more diverse situations. The urgency of scaling policies impacts us every day, whether it is protecting the health and safety of a community or enhancing the opportunities of future generations. Yet, a common result is that, when we scale up ideas, most experience a 'voltage drop'-that is, on scaling, the cost-benefit profile depreciates considerably. Here I argue that, to reduce voltage drops, we must optimally generate policy-based evidence. Optimality requires answering two crucial questions: what information should be generated and in what sequence. The economics underlying the science of scaling provides insights into these questions, which are in some cases at odds with conventional approaches. For example, there are important situations in which I advocate flipping the traditional social science research model to an approach that, from the beginning, produces the type of policy-based evidence that the science of scaling demands. To do so, I propose augmenting efficacy trials by including relevant tests of scale in the original discovery process, which forces the scientist to naturally start with a recognition of the big picture: what information do I need to have scaling confidence?

When do the effects of single-session interventions persist? Testing the mindset + supportive context hypothesis in a longitudinal randomized trial

Background

Single-session interventions have the potential to address young people's mental health needs at scale, but their effects are heterogeneous. We tested whether the mindset + supportive context hypothesis could help explain when intervention effects persist or fade over time. The hypothesis posits that interventions are more effective in environments that support the intervention message. We tested this hypothesis using the synergistic mindsets intervention, a preventative treatment for stress-related mental health symptoms that helps students appraise stress as a potential asset in the classroom (e.g., increasing oxygenated blood flow) rather than debilitating. In an introductory college course, we examined whether intervention-consistent messages from instructors sustained changes in appraisals over time, as well as impacts on students' predisposition to try demanding academic tasks that could enhance learning.

Methods

We randomly assigned 1675 students in the course to receive the synergistic mindsets intervention (or a control activity) at the beginning of the semester, and subsequently, to receive intervention-supportive messages from their instructor (or neutral messages) four times throughout the term. We collected weekly measures of students' appraisals of stress in the course and their predisposition to take on academic challenges. Trial-registration: OSF.io; DOI: 10.17605/osf.io/fchyn.

Results

A conservative Bayesian analysis indicated that receiving both the intervention and supportive messages led to the greatest increases in positive stress appraisals (0.35 SD; 1.00 posterior probability) and challenge-seeking predisposition (2.33 percentage points; 0.94 posterior probability), averaged over the course of the semester. In addition, intervention effects grew larger throughout the semester when complemented by supportive instructor messages, whereas without these messages, intervention effects shrank somewhat over time.

Conclusions

This study shows, for the first time, that supportive cues in local contexts can be the difference in whether a single-session intervention's effects fade over time or persist and even amplify.

Implicit Theory of Intelligence: Growth Mindset

There has been a long-standing debate among scientists as to whether intelligence is something innate, tangible, fixed, and relatively unchanging, or whether intelligence is not fixed and unchanging, but rather something that can be developed, dynamic, shaped, and strengthened with effort. Carol Dweck and her colleagues, who have focused their studies in this field, have developed the implicit theory of intelligence, which deals with this topic. According to the implicit theory of intelligence, which is based on people's beliefs about the nature of their intelligence, these beliefs are the perspectives on whether the intellectual abilities of individuals are fixed or whether they can be developed or not. Implicit theory of intelligence; expresses people's beliefs related to their intelligence as a structure consisting of two parts: the growth mindset and the fixed mindset. The implicit theory of intelligence see intelligence as ranging from either being stable, fixed, unchangeable, and innate (fixed mindset) or being improvable, dynamic, malleable, and could be changed by effort or hard work (growth mindset). This theory has been renamed as growth mindset in the recent period. Shortly, growth mindset interventions. Express that human abilities are not fixed and these abilities can be developed. However, as a result of a detailed search in the national literature, it has been determined that there is no study growth mindset. Therefore, in this study, it is aimed to introduce growt mindset, whose effectiveness has been tested by many studies and evidence-based, especially to young researchers working in the academic field and field workers in Türkiye.

Exploring the relationship between teacher growth mindset, grit, mindfulness, and EFL teachers' well-being

Introduction

This study examines the relationship between teacher growth mindset, mindfulness, grit, and teacher well-being, with a particular emphasis on the mediating role of grit.

Methods

The study involved 547 Chinese EFL teachers as participants. Data collection utilized validated measures of growth mindset, mindfulness, grit, and occupational well-being. Structural equation modeling was employed to analyze the data and investigate the proposed relationships.

Results

The findings reveal several important relationships. Firstly, both teacher growth mindset and teacher grit exhibit a direct positive influence on teacher well-being. Secondly, teacher grit acts as a mediator in the connection between teacher mindfulness and teacher occupational well-being. This suggests that the positive impact of mindfulness on well-being is, in part, explained by the presence of grit.

Discussion

These findings significantly contribute to our comprehension of the factors influencing teacher well-being. They underscore the importance of cultivating growth mindset, mindfulness, and grit in educational contexts. Moreover, the implications of these findings for teacher training and support programs are discussed.

Mindset × Context: Schools, Classrooms, and the Unequal Translation of Expectations into Math Achievement

When do adolescents' dreams of promising journeys through high school translate into academic success? This monograph reports the results of a collaborative effort among sociologists and psychologists to systematically examine the role of schools and classrooms in disrupting or facilitating the link between adolescents' expectations for success in math and their subsequent progress in the early high school math curriculum. Our primary focus was on gendered patterns of socioeconomic inequality in math and how they are tethered to the school's peer culture and to students' perceptions of gender stereotyping in the classroom. To do this, this monograph advances Mindset × Context Theory. This orients research on educational equity to the reciprocal influence between students' psychological motivations and their school-based opportunities to enact those motivations. Mindset × Context Theory predicts that a student's mindset will be more strongly linked to developmental outcomes among groups of students who are at risk for poor outcomes, but only in a school or classroom context where there is sufficient need and support for the mindset. Our application of this theory centers on expectations for success in high school math as a foundational belief for students' math progress early in high school. We examine how this mindset varies across interpersonal and cultural dynamics in schools and classrooms. Following this perspective, we ask: 1. Which gender and socioeconomic identity groups showed the weakest or strongest links between expectations for success in math and progress through the math curriculum? 2. How did the school's peer culture shape the links between student expectations for success in math and math progress across gender and socioeconomic identity groups? 3. How did perceptions of classroom gender stereotyping shape the links between student expectations for success in math and math progress across gender and socioeconomic identity groups? We used nationally representative data from about 10,000 U.S. public school 9th graders in the National Study of Learning Mindsets (NSLM) collected in 2015-2016-the most recent, national, longitudinal study of adolescents' mindsets in U.S. public schools. The sample was representative with respect to a large number of observable characteristics, such as gender, race, ethnicity, English Language Learners (ELLs), free or reduced price lunch, poverty, food stamps, neighborhood income and labor market participation, and school curricular opportunities. This allowed for generalization to the U.S. public school population and for the systematic investigation of school- and classroom-level contextual factors. The NSLM's complete sampling of students within schools also allowed for a comparison of students from different gender and socioeconomic groups with the same expectations in the same educational contexts. To analyze these data, we used the Bayesian Causal Forest (BCF) algorithm, a best-in-class machine-learning method for discovering complex, replicable interaction effects. Chapter IV examined the interplay of expectations, gender, and socioeconomic status (SES; operationalized with maternal educational attainment). Adolescents' expectations for success in math were meaningful predictors of their early math progress, even when controlling for other psychological factors, prior achievement in math, and racial and ethnic identities. Boys from low-SES families were the most vulnerable identity group. They were over three times more likely to not make adequate progress in math from 9th to 10th grade relative to girls from high-SES families. Boys from low-SES families also benefited the most from their expectations for success in math. Overall, these results were consistent with Mindset × Context Theory's predictions. Chapters V and VI examined the moderating role of school-level and classroom-level factors in the patterns reported in Chapter IV. Expectations were least predictive of math progress in the highest-achieving schools and schools with the most academically oriented peer norms, that is, schools with the most formal and informal resources. School resources appeared to compensate for lower levels of expectations. Conversely, expectations most strongly predicted math progress in the low/medium-achieving schools with less academically oriented peers, especially for boys from low-SES families. This chapter aligns with aspects of Mindset × Context Theory. A context that was not already optimally supporting student success was where outcomes for vulnerable students depended the most on student expectations. Finally, perceptions of classroom stereotyping mattered. Perceptions of gender stereotyping predicted less progress in math, but expectations for success in math more strongly predicted progress in classrooms with high perceived stereotyping. Gender stereotyping interactions emerged for all sociodemographic groups except for boys from high-SES families. The findings across these three analytical chapters demonstrate the value of integrating psychological and sociological perspectives to capture multiple levels of schooling. It also drew on the contextual variability afforded by representative sampling and explored the interplay of lab-tested psychological processes (expectations) with field-developed levers of policy intervention (school contexts). This monograph also leverages developmental and ecological insights to identify which groups of students might profit from different efforts to improve educational equity, such as interventions to increase expectations for success in math, or school programs that improve the school or classroom cultures.

Wise interventions consider the person and the situation together

Chater & Loewenstein (C&L) ignore the long history by which social scientists have developed more nuanced and ultimately more helpful ways to understand the relationship between persons and situations. This tradition is reflected and advanced in a large literature on "wise" social-psychological or mindset interventions, which C&L do not discuss yet mischaracterize.

Shifting the mindset culture to address global educational disparities

Educational outcomes remain highly unequal within and across nations. Students' mindsets-their beliefs about whether intellectual abilities can be developed-have been identified as a potential lever for making adolescents' academic outcomes more equitable. Recent research, however, suggests that intervention programs aimed at changing students' mindsets should be supplemented by programs aimed at the changing the mindset culture, which is defined as the shared set of beliefs about learning in a school or classroom. This paper reviews the theoretical and empirical origin of the mindset culture and examines its potential to reduce group-based inequalities in education. In particular, experiments have identified two broad ways the mindset culture is communicated by teachers: via informal messages about growth (e.g., that all students will be helped to learn and succeed), and formal opportunities to improve (e.g., learning-focused grading policies and opportunities to revise and earn credit). New field experiments, applying techniques from behavioral science, have also revealed effective ways to influence teachers' culture-creating behaviors. This paper describes recent breakthroughs in the U.S. educational context and discusses how lessons from these studies might be applied in future, global collaborations with researchers and practitioners.

A values-aligned intervention fosters growth mindset-supportive teaching and reduces inequality in educational outcomes

Group-based educational disparities are smaller in classrooms where teachers express a belief that students can improve their abilities. However, a scalable method for motivating teachers to adopt such growth mindset-supportive teaching practices has remained elusive. In part, this is because teachers often already face overwhelming demands on their time and attention and have reason to be skeptical of the professional development advice they receive from researchers and other experts. We designed an intervention that overcame these obstacles and successfully motivated high-school teachers to adopt specific practices that support students' growth mindsets. The intervention used the values-alignment approach. This approach motivates behavioral change by framing a desired behavior as aligned with a core value-one that is an important criterion for status and admiration in the relevant social reference group. First, using qualitative interviews and a nationally representative survey of teachers, we identified a relevant core value: inspiring students' enthusiastic engagement with learning. Next, we designed a ~45-min, self-administered, online intervention that persuaded teachers to view growth mindset-supportive practices as a way to foster such student engagement and thus live up to that value. We randomly assigned 155 teachers (5,393 students) to receive the intervention and 164 teachers (6,167 students) to receive a control module. The growth mindset-supportive teaching intervention successfully promoted teachers' adoption of the suggested practices, overcoming major barriers to changing teachers' classroom practices that other scalable approaches have failed to surmount. The intervention also substantially improved student achievement in socioeconomically disadvantaged classes, reducing inequality in educational outcomes.

Too much may be a bad thing: the difference between challenge and hindrance job demands

Job demands and employee motivations are studied through a challenging-disruptive needs framework. However, studies on challenging demands show mixed results due to the difference in the level of demand and effect of moderating variables. In this study, based on the Yerkes-Dodson law and conservation of resources theory, the non-linear relationship between challenging demand and work engagement, linear relationship between hindrance demand and work engagement, and moderating effect of stress were verified. A total of 3914 people were surveyed. The results showed that hindrance demand had a negative linear relationship with work engagement. Moreover, challenging demand had a positive effect on work engagement till a certain level, but had an inverted-U relationship with a negative influence thereafter. Stress mindset moderated these relationships and the negative effects of challenging and hindrance demands weakened for a stress-enhancing-mindset. Based on these results, theoretical and practical implications and future research directions were proposed.

Individual Responses versus Aggregate Group-Level Results: Examining the Strength of Evidence for Growth Mindset Interventions on Academic Performance

Mindset theory assumes that students' beliefs about their intelligence-whether these are fixed or can grow-affects students' academic performance. Based on this assumption, mindset theorists have developed growth mindset interventions to teach students that their intelligence or another attribute can be developed, with the goal of improving academic outcomes. Though many papers have reported benefits from growth mindset interventions, others have reported no effects or even detrimental effects. Recently, proponents of mindset theory have called for a "heterogeneity revolution" to understand when growth mindset interventions are effective and when-and for whom-they are not. We sought to examine the whole picture of heterogeneity of treatment effects, including benefits, lack of impacts, and potential detriments of growth mindset interventions on academic performance. We used a recently proposed approach that considers persons as effect sizes; this approach can reveal individual-level heterogeneity often lost in aggregate data analyses. Across three papers, we find that this approach reveals substantial individual-level heterogeneity unobservable at the group level, with many students and teachers exhibiting mindset and performance outcomes that run counter to the authors' claims. Understanding and reporting heterogeneity, including benefits, null effects, and detriments, will lead to better guidance for educators and policymakers considering the role of growth mindset interventions in schools.

Where and with whom does a brief social-belonging intervention promote progress in college?

A promising way to mitigate inequality is by addressing students' worries about belonging. But where and with whom is this social-belonging intervention effective? Here we report a team-science randomized controlled experiment with 26,911 students at 22 diverse institutions. Results showed that the social-belonging intervention, administered online before college (in under 30 minutes), increased the rate at which students completed the first year as full-time students, especially among students in groups that had historically progressed at lower rates. The college context also mattered: The intervention was effective only when students' groups were afforded opportunities to belong. This study develops methods for understanding how student identities and contexts interact with interventions. It also shows that a low-cost, scalable intervention generalizes its effects to 749 4-year institutions in the United States.

Mindset and Reflection—How to Sustainably Improve Intra- and Interpersonal Competences in Medical Education

Intra- and interpersonal competences (IICs) are essential for medical expertise. However, the effects of current medical curricula seem to not be sustainable enough, even though poorly trained IICs have negative effects on medical practice. A defensive attitude towards openly addressing personal–professional challenges seems to hinder a sustainable implementation of IICs training. Therefore, this study asks about the changeability of IICs and target factors of their implementation in medical education. The aim was to detect factors for the sustainable implementation of IICs in medical education from medical and non-medical perspectives. For this purpose, a total of 21 experts were interviewed. The interview material was analysed according to grounded theory principles to generate core categories to answer the research questions. As a first result, analysis revealed that IICs are changeable and developable, not in all, but in many students. It also showed four central prerequisites for successful implementation: the longitudinal integration of reflection and feedback in medical education and practice; a clear framework and individual path of education; the students’ mindset to develop themselves on a personal level; as well as the superiors’ mindset to openly deal with personal challenges in low hierarchies. Contrasting Carol Dweck’s mindset concept with our findings supports our theory that the development of a mindset which allows an open approach to personal deficits and challenges seems to be of central importance for both students and teachers. Two key factors in this process might be teaching about the impact of mindsets on learning and the willingness of superiors to openly address their personal challenges. To improve IICs in medical professionals, it seems helpful to pay more attention to the development of mindsets. Educating teachers and superiors about targeting factors could be a feasible direction for sustainable implementation.

A model of teachers’ growth mindset, teaching enjoyment, work engagement, and teacher grit among EFL teachers

Because of the importance of positive emotions in second language (L2) acquisition, researchers have undertaken studies to investigate L2 learners’ emotions. Nevertheless, L2 teachers’ emotions still require more scholarly attention. Against this backdrop, we sought to test a model of teachers’ growth mindset, teaching enjoyment, work engagement, and teacher grit among English as a foreign language (EFL) teachers. To this end, 486 Chinese EFL teachers volunteered to partake in an online survey and completed the questionnaires of the four constructs in question. Confirmatory factor analysis was performed to ensure the construct validity of the used scales. Then structural equation modeling (SEM) was used to test the hypothesized model. SEM results indicated that teaching enjoyment, teacher grit, and growth mindset directly predicted EFL teachers’ work engagement. In addition, teaching enjoyment affected work engagement indirectly via the mediation of teacher grit. Likewise, teacher grit mediated the effect of growth mindset on teachers’ work engagement. Finally, the implications of these findings are discussed.

The mindsets × societal norm effect across 78 cultures: Growth mindsets are linked to performance weakly and well-being negatively in societies with fixed-mindset norms

BACKGROUND/AIMS

Recent research on mindsets has shifted from understanding its homogenous role on performance to understanding how classroom environments explain its heterogeneous effects (i.e., Mindsets × Context hypothesis). Does the macro context (e.g., societal level of student mindsets) also help explain its heterogeneous effects? And does this interaction effect also apply to understanding students' well-being? To address these questions, we examined whether and how the role of students' mindsets in performance (math, science, reading) and well-being (meaning in life, positive affect, life satisfaction) depends on the societal-mindset norms (i.e., Mindsets × Societal Norm effect).

SAMPLE/METHODS

We analysed a global data set (n = 612,004 adolescents in 78 societies) using multilevel analysis. The societal norm of student mindsets was the average score derived from students within each society.

RESULTS

Growth mindsets positively and weakly predicted all performance outcomes (rs = .192, .210, .224), but the associations were significantly stronger in societies with growth-mindset norms. In contrast, the associations between growth mindsets and psychological well-being were very weak and inconsistent (rs = -.066, .003, .008). Importantly, the association was negative in societies with fixed-mindset norms but positive in societies with growth-mindset norms.

CONCLUSIONS

These findings challenge the idea that growth mindsets have ubiquitous positive effects in all societies. Growth mindsets might be ineffective or even detrimental in societies with fixed-mindset norms because such societal norms could suppress the potential of students with growth mindsets and undermines their well-being. Researchers should take societal norms into consideration in their efforts to understand and foster students' growth.

Interventions to Modify Psychological Well-Being: Progress, Promises, and an Agenda for Future Research

Psychological well-being, characterized by feelings, cognitions, and strategies that are associated with positive functioning (including hedonic and eudaimonic well-being), has been linked with better physical health and greater longevity. Importantly, psychological well-being can be strengthened with interventions, providing a strategy for improving population health. But are the effects of well-being interventions meaningful, durable, and scalable enough to improve health at a population-level? To assess this possibility, a cross-disciplinary group of scholars convened to review current knowledge and develop a research agenda. Here we summarize and build on the key insights from this convening, which were: (1) existing interventions should continue to be adapted to achieve a large-enough effect to result in downstream improvements in psychological functioning and health, (2) research should determine the durability of interventions needed to drive population-level and lasting changes, (3) a shift from individual-level care and treatment to a public-health model of population-level prevention is needed and will require new infrastructure that can deliver interventions at scale, (4) interventions should be accessible and effective in racially, ethnically, and geographically diverse samples. A discussion examining the key future research questions follows.

Why Meta-Analyses of Growth Mindset and Other Interventions Should Follow Best Practices for Examining Heterogeneity: Commentary on Macnamara and Burgoyne (2023) and Burnette et al. (2023)

Meta-analysts often ask a yes-or-no question: Is there an intervention effect or not? This traditional, all-or-nothing thinking stands in contrast with current best practice in meta-analysis, which calls for a heterogeneity-attuned approach (i.e., focused on the extent to which effects vary across procedures, participant groups, or contexts). This heterogeneity-attuned approach allows researchers to understand where effects are weaker or stronger and reveals mechanisms. The current article builds on a rare opportunity to compare two recent meta-analyses that examined the same literature (growth mindset interventions) but used different methods and reached different conclusions. One meta-analysis used a traditional approach (Macnamara and Burgoyne, in press), which aggregated effect sizes for each study before combining them and examined moderators one-by-one by splitting the data into small subgroups. The second meta-analysis (Burnette et al., in press) modeled the variation of effects within studies-across subgroups and outcomes-and applied modern, multi-level meta-regression methods. The former concluded that growth mindset effects are biased, but the latter yielded nuanced conclusions consistent with theoretical predictions. We explain why the practices followed by the latter meta-analysis were more in line with best practices for analyzing large and heterogeneous literatures. Further, an exploratory re-analysis of the data showed that applying the modern, heterogeneity-attuned methods from Burnette et al. (in press) to the dataset employed by Macnamara and Burgoyne (in press) confirmed Burnette et al.'s conclusions; namely, that there was a meaningful, significant effect of growth mindset in focal (at-risk) groups. This article concludes that heterogeneity-attuned meta-analysis is important both for advancing theory and for avoiding the boom-or-bust cycle that plagues too much of psychological science.

Public mental health during and after the SARS-CoV-2 pandemic: Opportunities for intervention via emotional self-efficacy and resilience

Importance

During the pandemic, the number of United States adults reporting clinically significant symptoms of anxiety and depression sky-rocketed, up from 11% in 2020 to more than 40% in 2021. Our current mental healthcare system cannot adequately accommodate the current crisis; it is therefore important to identify opportunities for public mental health interventions.

Objective

Assess whether modifiable emotional factors may offer a point of intervention for the mental health crisis.

Design setting and participants

From January 13 to 15, 2022, adults living in the United States were recruited via Amazon Mechanical Turk to complete an anonymous survey.

Main outcomes and measures

Linear regressions tested whether the primary outcomes during the SARS-CoV-2 pandemic (depressive and anxiety symptoms, burnout) were associated with hypothesized modifiable risk factors (loneliness and need for closure) and hypothesized modifiable protective factors (the ability to perceive emotions and connect with others emotionally; emotion-regulation efficacy; and resilience, or the ability to "bounce back" after negative events).

Results

The sample included 1,323 adults (mean [SD] age 41.42 [12.52] years; 636 women [48%]), almost half of whom reported clinically significant depressive (29%) and/or anxiety (15%) symptoms. Approximately 90% of participants indicated feeling burned out at least once a year and nearly half of participants (45%) felt burned out once a week or more. In separate analyses, depressive symptoms (Model A), anxiety symptoms (Model B), and burnout (Model C) were statistically significantly associated with loneliness (βModel A, 0.38; 95% CI, 0.33-0.43; βModel B, 0.30; 95% CI, 0.26-0.36; βModel C, 0.34; 95% CI, 0.28-0.41), need for closure (βModel A, 0.09; 95% CI, 1.03-1.06; βModel B, 0.13; 95% CI, 0.97-0.17; βModel C, 0.11; 95% CI, 0.07-0.16), recent stressful life events (βModel A, 0.14; 95% CI, 0.10-0.17; βModel B, 0.14; 95% CI, 0.11-0.18; βModel C, 0.10; 95% CI, 0.06-0.15), and resilience (βModel A, -0.10; 95% CI, -0.15 to -0.05; βModel B, -0.18; 95% CI, -0.23 to -0.13; βModel C, -0.11; 95% CI, -0.17 to -0.05). In addition, depressive and anxiety symptoms were associated with emotional self-efficacy (βModel A, -0.17; 95% CI, -0.22 to -0.12; βModel B, -0.11; 95% CI, -0.17 to -0.06), and beliefs about the malleability of emotions (βModel A, -0.08; 95% CI, -0.12 to -0.03; βModel B, -0.09; 95% CI, -0.13 to -0.04). Associations between loneliness and symptoms were weaker among those with more emotional self-efficacy, more endorsement of emotion malleability beliefs, and greater resilience, in separate models. Analyses controlled for recent stressful life events, optimism, and social desirability.

Conclusion and relevance

Public mental health interventions that teach resilience in response to negative events, emotional self-efficacy, and emotion-regulation efficacy may protect against the development of depressive symptoms, anxiety, and burnout, particularly in the context of a collective trauma. Emotional self-efficacy and regulation efficacy may mitigate the association between loneliness and mental health, but loneliness prevention research is also needed to address the current mental health crisis.

Efficiently exploring the causal role of contextual moderators in behavioral science

Behavioral science interventions have the potential to address longstanding policy problems, but their effects are typically heterogeneous across contexts (e.g., teachers, schools, and geographic regions). This contextual heterogeneity is poorly understood, however, which reduces the field's impact and its understanding of mechanisms. Here, we present an efficient way to interrogate heterogeneity and address these gaps in knowledge. This method a) presents scenarios that vividly represent different moderating contexts, b) measures a short-term behavioral outcome (e.g., an academic choice) that is known to relate to typical intervention outcomes (e.g., academic achievement), and c) assesses the causal effect of the moderating context on the link between the psychological variable typically targeted by interventions and this short-term outcome. We illustrated the utility of this approach across four experiments (total n = 3,235) that directly tested contextual moderators of the links between growth mindset, which is the belief that ability can be developed, and students' academic choices. The present results showed that teachers' growth mindset-supportive messages and the structural opportunities they provide moderated the link between students' mindsets and their choices (studies 1 to 3). This pattern was replicated in a nationally representative sample of adolescents and did not vary across demographic subgroups (study 2), nor was this pattern the result of several possible confounds (studies 3 to 4). Discussion centers on how this method of interrogating contextual heterogeneity can be applied to other behavioral science interventions and broaden their impact in other policy domains.

Improving the predictor-criterion consistency of mindset measures: Application of the correspondence principle

Increasing the level of correspondence between measures of growth mindset and their related outcomes could afford more precise prediction of the relationships between growth mindset and social-emotional outcomes. To illustrate the value of measurement correspondence, two studies were conducted in Hong Kong. Study 1 showed that an agent-correspondent growth mindset measure (parents’ perception of the malleability of their children's personal qualities), compared to an agent-non-correspondent one (parents’ belief in the malleability of personal qualities of a generalized other), had stronger predictive relationship with children's likelihood of displaying difficult behaviors. Study 2 found that children's self-theories about the malleability of their intelligence (an intrapersonal construct) had stronger predictive relationship with academic engagement (an intrapersonal outcome) than did their perception of growth mindset norm (a normative construct). However, perceived growth mindset norm regarding personal qualities had stronger predictive relationship with peer relationship quality (an interpersonal outcome). Together these results demonstrated that when corresponding measures of growth mindset were used to predict an outcome, more reliable growth mindset effects would emerge.

Personal qualities are malleable and fixed: Ambivalent mindset, capability ranking reinforcement, and parent–child relationship among Hong Kong Chinese parents

Past research showed that people may hold contradictory ideas about something or someone. Mindset ambivalence refers to the psychological state in which a person holds contradictory beliefs about the malleability of a valued attribute and spontaneously expresses agreement with both the fixed and growth mindsets. Our past findings showed that a sizable proportion of Hong Kong Chinese adults possess the ambivalent mindset. In the present study, 101 Hong Kong Chinese parents completed a survey during the COVID-19 pandemic. The findings provided further support for the prevalence of the ambivalent mindset. In addition, we found that parents with the ambivalent mindset tended to support several parental practices that would reinforce the relative ability rankings of their children. These practices included person praise, mobilization of effort to compensate for low ability, and lowering of expectation to avoid future failures. Finally, the use of these parental practices was accompanied by deterioration of parent–child relationship when children displayed undesirable self-regulatory behaviors. We discuss these findings’ implications for growth mindset interventions in Chinese societies.

Stan and BART for Causal Inference: Estimating Heterogeneous Treatment Effects Using the Power of Stan and the Flexibility of Machine Learning

A wide range of machine-learning-based approaches have been developed in the past decade, increasing our ability to accurately model nonlinear and nonadditive response surfaces. This has improved performance for inferential tasks such as estimating average treatment effects in situations where standard parametric models may not fit the data well. These methods have also shown promise for the related task of identifying heterogeneous treatment effects. However, the estimation of both overall and heterogeneous treatment effects can be hampered when data are structured within groups if we fail to correctly model the dependence between observations. Most machine learning methods do not readily accommodate such structure. This paper introduces a new algorithm, stan4bart, that combines the flexibility of Bayesian Additive Regression Trees (BART) for fitting nonlinear response surfaces with the computational and statistical efficiencies of using Stan for the parametric components of the model. We demonstrate how stan4bart can be used to estimate average, subgroup, and individual-level treatment effects with stronger performance than other flexible approaches that ignore the multilevel structure of the data as well as multilevel approaches that have strict parametric forms.

Peer-Modeled Mindsets: An Approach to Customizing Life Sciences Studying Interventions

Mindset interventions, which shift students' beliefs about classroom experiences, have shown promise for promoting diversity in science, technology, engineering, and mathematics (STEM). Psychologists have emphasized the importance of customizing these interventions to specific courses, but there is not yet a protocol for doing so. We developed a protocol for creating customized "peer-modeled" mindset interventions that elicit advice from former students in videotaped interviews. In intervention activities, clips from these interviews, in which the former students' stories model the changes in thinking about challenge and struggle that helped them succeed in a specific course, are provided to incoming life sciences students. Using this protocol, we developed a customized intervention for three sections of Introductory Biology I at a large university and tested it in a randomized controlled trial (N = 917). The intervention shifted students' attributions for struggle in the class away from a lack of potential to succeed and toward the need to develop a better approach to studying. The intervention also improved students' approaches to studying and sense of belonging and had promising effects on performance and persistence in biology. Effects were pronounced among first-generation college students and underrepresented racial/ethnic minority students, who have been historically underrepresented in the STEM fields.

Walking in Her Shoes: Pretending to Be a Female Role Model Increases Young Girls' Persistence in Science

Pretend play is a ubiquitous learning tool in early childhood, enabling children to explore possibilities outside of their current reality. Here, we demonstrate how pretend play can be leveraged to empower girls in scientific domains. American children ages 4 to 7 years (N = 240) played a challenging science activity in one of three conditions. Children in the exposure condition heard about a successful gender-matched scientist, children in the roleplay condition pretended to be that scientist, and children in the baseline condition did not receive information about the scientist. Girls in the roleplay condition, but not in the exposure condition, persisted longer in the science activity than girls in the baseline condition. Pretending to be the scientist equated girls' persistence to that of boys. These findings suggest that pretend play of role models motivates young girls in science and may help reduce gender gaps from their roots.

Growth-Mindset Intervention Delivered by Teachers Boosts Achievement in Early Adolescence

School underachievement is a persistent problem in the United States. Direct-to-student, computer-delivered growth-mindset interventions have shown promise as a way to improve achievement for students at risk of failing in school; however, these interventions benefit only students who happen to be in classrooms that support growth-mindset beliefs. Here, we tested a teacher-delivered growth-mindset intervention for U.S. adolescents in Grades 6 and 7 that was designed to both impart growth-mindset beliefs and create a supportive classroom environment where those beliefs could flourish (N = 1,996 students, N = 50 teachers). The intervention improved the grades of struggling students in the target class by 0.27 standard deviations, or 2.81 grade percentage points. The effects were largest for students whose teachers endorsed fixed mindsets before the intervention. This large-scale, randomized controlled trial demonstrates that growth-mindset interventions can produce gains when delivered by teachers.

Damaged, discouraged and defeated? How mindset may offer hope for healing

Wolcott provides guidance on where we can start the healing process in healthcare by emphasizing an environment in which growth mindsets can flourish.

Academic Self-Concept Dramatically Declines in Secondary School: Personal and Contextual Determinants

Academic self-concept is one of the most important non-cognitive variables in determining students' attitudes towards school and their performance. The objective of this study was to use a longitudinal approach to analyze how academic self-concept changed between primary and secondary schools and to analyze the factors that affected that progression. The sample consisted of 7379 students (47.4% girls) evaluated at two time-points: fourth grade and eighth grade. Six schooling pathways were analyzed: repeating a year before fourth grade, repeating between fourth and eighth grade, and repeating eighth grade. Five two-level hierarchical linear models of intrasubject means were assessed. The results indicate that academic self-concept falls dramatically between primary school and secondary school, varying according to background variables. Nevertheless, the most influential factor was the students' schooling pathway. This study reinforces the evidence that, at least in the Spanish context, educational policies need to address alternatives to repetition.