Developmental trajectories of achievement emotions in mathematics during adolescence.

This study examined how adolescents' emotions in mathematics develop over time. Growth curve modeling was applied to longitudinal data collected annually from 2002 to 2006 (Grades 5-9; N = 3425 German adolescents; Mage = 11.7, 15.6 years at the first and last waves, respectively; 50.0% female). Results indicated that enjoyment and pride decreased over time (Glass's Δs = -.86, -.71). In contrast, negative emotions exhibited more complex patterns: Anger, boredom, and hopelessness increased (Δs = .52, .79, .26), shame decreased (Δ = -.12), and anxiety remained stable (Δ = .00). These change trajectories of emotions were associated with change trajectories of perceived control, intrinsic value, achievement value, and achievement in mathematics. Implications and future directions are discussed.

Towards a multidimensional measure of well-being: cross-cultural support through the Italian validation of the well-being profile.

BACKGROUND: The Well-being Profile (WB-Pro) is a multi-item and multidimensional instrument with strong psychometric properties and a solid theoretical grounding. It includes aspects of hedonic and eudaimonic well-being that can be used at the individual and social levels. METHOD: We developed the Italian version through back-translation procedures. The aim of this study is to validate the WB-Pro in Italian as well as to better understand its multidimensionality through bifactor analysis. A sample of 1451 participants (910 = women, 62.7%; age range: 18-70, M-age = 32.34, SD-age = 13.64) was involved. RESULTS: The 15-factor structure was confirmed with CFA and ESEM and was invariant across gender, age, and education. We examined convergent and discriminant validity and a bifactorial representation. Short versions of the WB-Pro were tested. DISCUSSION: Even though a few items of the Italian version of the WB-Pro might benefit from revision (e.g., clear-thinking scale), this study confirms the theoretical and empirical strength of the WB-Pro. CONCLUSIONS: This study supports the WB-Pro validity and usefulness in studying well-being and for professional psychological applications to assess well-being in both individuals and groups.

The bifactor structure of the Self-Compassion Scale: Bayesian approaches to overcome exploratory structural equation modeling (ESEM) limitations.

The rapidly expanding self-compassion research is driven mainly by Neff's (2003a, 2003b, 2023) six-factor Self-Compassion Scale (SCS). Despite broad agreement on its six-first-order factor structure, there is much debate on SCS's global structure (one- vs. two-global factors). Neff et al. (2019) argue for an exploratory structural equation model (ESEM) with six specific and one global bifactor (6ESEM + 1GlbBF) rather than two global factors (6ESEM + 2GlbBF). However, ESEM's methodological limitations precluded testing the appropriate 6ESEM + 2GlbBF, relying instead on a model combining ESEM and traditional confirmatory factor analysis (6ESEM + 2CFA). Although intuitively reasonable, this alternative model results in internally inconsistent, illogical interpretations. Instead, we apply recent advances in Bayesian SEM frameworks and Bayes structural equation models fit indices to test a more appropriate bifactor model with two global factors. This model (as does 6CFA + 2GlbBF) fits the data well, and correlations between compassionate self-responding (CS) and reverse-scored uncompassionate self-responding (RUS) factors (∼.6) are much less than the 1.0 correlation implied by a single bipolar factor. We discuss the critical implications for theory, scoring, and clinical application for the SCS that previously were inappropriately based on this now-discredited 6ESEM + 2GlbCFA. In applied practice, we endorse using scores representing the six SCS factors, total SCS, and CS and RUS components rather than relying solely on one global factor. Our approach to these issues (dimensionality, factor structure, first-order and higher order models, positive vs. negatively oriented constructs, item-wording effects, and alternative estimation procedures) has wide applicability to clinical measurement (see our annotated bibliography of 20 instruments that might benefit from our approach). (PsycInfo Database Record (c) 2023 APA, all rights reserved).

COVID-19 meets control-value theory: Emotional reactions to canceled high-stakes examinations.

In many countries, examinations scheduled for summer 2020 were canceled as part of measures designed to curb the spread of the COVID-19 pandemic. To examine how four retrospective emotions about canceled examinations (relief, gratitude, disappointment, and anger) and one prospective emotion (test anxiety) were related to control-value appraisals, a sample of 474 participants in the UK aged 15-19 years, who would have taken high-stakes examinations if they had not been canceled, self-reported measures of control, value, retrospective emotions and test anxiety. Data were analysed using the confirmatory factor analysis within exploratory structural equation modeling (EwC) approach. Relief, gratitude, and anger were predicted from expectancy × value interactions. Disappointment was related to expectancy only. Test anxiety was predicted independently by expectancy and positive/negative value. Findings offer broad support for Control-Value Theory and show how the appraisals underpinning achievement emotions can differ when focused on canceled examinations rather than success or failure.

Culture, Motivation, Self-Regulation, and the Impactful Work of Dennis M. McInerney.

This tribute celebrates the distinguished scholarship and extraordinary life of Dennis Michael McInerney, who passed away in Hong Kong on May 20th, 2022. It is a testimony of his impact on our professional and personal lives while highlighting the multitude and depth of his scholarly contributions. McInerney was one of those thinkers who invited us to reconsider how we conceptualize, assess, and apply scientific investigations in our teaching and learning practices. He authored and co-authored numerous widely used books and published numerous research articles in peer-refereed journals. During his remarkable career, McInerney dedicated a significant part to researching the problems associated with studying culture and uncovering how culture is a missing link in most motivation research. He believed there was a noteworthy need to conduct Indigenous educational research to understand the extent to which mainstream motivation theories apply to culturally diverse groups and stand up to cross-cultural testing scrutiny. McInerney's influence and impact will transcend future generations of research, given the gravity of his scholarly contributions.

Autonomy-Supportive Teaching Enhances Prosocial and Reduces Antisocial Behavior via Classroom Climate and Psychological Needs: A Multilevel Randomized Control Intervention.

Autonomy-supportive teaching increases prosocial and decreases antisocial behavior. Previous research showed that these effects occur because autonomy-supportive teaching improves students' need states (a student-level process). However, the present study investigated whether these effects also occur because autonomy-supportive teaching improves the classroom climate (a classroom-level process). Teachers from 80 physical education classrooms were randomly assigned to participate (or not) in an autonomy-supportive teaching intervention, while their 2,227 secondary-grade students reported their need satisfaction and frustration, supportive and hierarchical classroom climates, and prosocial and antisocial behaviors at the beginning, middle, and end of an academic year. A doubly latent, multilevel structural equation model showed that teacher participation in the intervention (experimental condition) increased class-wide need satisfaction, a supportive climate, and prosocial behavior and decreased class-wide need frustration, a hierarchical climate, and antisocial behavior. Together, greater collective need satisfaction and a more supportive climate combined to explain increased prosocial behavior, while lesser need frustration and a less hierarchical climate combined to explain decreased antisocial behavior. These classroom climate effects have been overlooked, yet they are essential to explain why autonomy-supportive teaching improves students' social functioning.

Cluster randomized control trial to reduce peer victimization: An autonomy-supportive teaching intervention changes the classroom ethos to support defending bystanders.

Peer victimization is a worldwide crisis unresolved by 50 years of research and intervention. We capitalized on recent methodological advances and integrated self-determination theory with a social-ecological perspective. We provided teachers with a professional development experience to establish a highly supportive classroom climate that enabled the emergence of pro-victim student bystanders during bullying episodes. In our longitudinal cluster randomized control trial, we randomly assigned 24 teachers (15 men, 9 women; 19 middle school, 5 high school; 32.8 years old, 6.7 years of experience) in 48 classrooms to the autonomy-supportive teaching (AST) workshop (24 classrooms) or the no-intervention control (24 classrooms). Their 1,178 students (age: M = 13.7, SD = 1.5; range = 11-18) reported their perceived teacher autonomy support; perceived classmates' autonomy support; adoption of the defender role; and peer victimization at the beginning, middle, and end of an 18-week semester. A doubly latent multilevel structural equation model with follow-up mediation tests showed that experimental-group teachers created a substantially more supportive classroom climate, leading student bystanders to embrace the defender role. This classroom-wide (L2) emergence of pro-victim peer bystanders led to sharply reduced victimization (effect size = -.40). Unlike largely unsuccessful past interventions that focused mainly on individual students, our randomized control trial intervention substantially reduced bullying and victimization. Focusing on individual students is likely to be ineffective (even counterproductive) without first changing the normative climate that reinforces bullying. Accordingly, our intervention focused on the classroom teacher. In the classrooms of these teachers, bystanders supported the victims because the classroom climate supported the bystanders. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Dimensionality of Reading Self-Concept: Examining Its Stability Using Local Structural Equation Models.

For results from large-scale surveys to inform policy and practice appropriately, all participants must interpret and respond to items similarly. While organizers of surveys assessing student outcomes often ensure this for achievement measures, doing so for psychological questionnaires is also critical. We demonstrate this by examining the dimensionality of reading self-concept-a crucial psychological construct for several outcomes-across reading achievement levels. We use Programme for International Student Assessment 2018 data (N = 529,966) and local structural equation models (LSEMs) to do so. Results reveal that reading self-concept dimensions (assessed through reading competence and difficulty) vary across reading achievement levels. Students with low reading achievement show differentiated responses to the two item sets (high competence-high difficulty). In contrast, students with high reading achievement have reconciled responses (high competence-low difficulty). Our results highlight the value of LSEMs in examining factor structure generalizability of constructs in large-scale surveys and call for greater cognitive testing during item development.

The roles of social-emotional skills in students' academic and life success: A multi-informant and multicohort perspective.

Social-emotional skills have been shown to be beneficial for many important life outcomes for students. However, previous studies on the topic have suffered from many issues (e.g., consideration of only a small subset of skills, single-informant, and single-cohort design). To address these limitations, this study used a multi-informant (self, teacher, and parent) and multicohort (ages 10-15 from Finland, N = 5,533) perspective to study the association between 15 social-emotional skills and 20 educational (e.g., school grades), social (e.g., relationships with teachers), psychological health (e.g., life satisfaction), and physical health outcomes (e.g., sleep trouble). Results showed that (a) there was a modest level of interrater agreement on social-emotional skills, with the highest agreement between students and parents (mean r = .41); (b) inclusion of multi-informant ratings substantially enhanced the ability of social-emotional skills in predicting outcome variables, with parent- and self-rated skills playing important, unique roles; (c) by modeling skills at the facet level rather than at the domain level, we identified the key skills for different outcomes and found significant variation in facets' predictive utility even within the same domain; and (d) although the older cohort showed lower levels of most social-emotional skills (9/15), there were only minor changes in the interrater agreement and predictive utility on outcomes. Overall, self-control, trust, optimism, and energy were found among the four most important skills for academic and life success. We further identified the unique contribution of each skill for specific outcomes, pointing the way to effective and precise interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A three-dimensional taxonomy of achievement emotions.

We present a three-dimensional taxonomy of achievement emotions that considers valence, arousal, and object focus as core features of these emotions. By distinguishing between positive and negative emotions (valence), activating and deactivating emotions (arousal), and activity emotions, prospective outcome emotions, and retrospective outcome emotions (object focus), the taxonomy has a 2 × 2 × 3 structure representing 12 groups of achievement emotions. In four studies across different countries (N = 330, 235, 323, and 269 participants in Canada, the United States, Germany, and the U.K., respectively), we investigated the empirical robustness of the taxonomy in educational (Studies 1-3) and work settings (Study 4). An expanded version of the Achievement Emotions Questionnaire was used to assess 12 key emotions representing the taxonomy. Consistently across the four studies, findings from multilevel facet analysis and structural equation modeling documented the importance of the three dimensions for explaining achievement emotions. In addition, based on hypotheses about relations with external variables, the findings show clear links of the emotions with important antecedents and outcomes. The Big Five personality traits, appraisals of control and value, and context perceptions were predictors of the emotions. The 12 emotions, in turn, were related to participants' use of strategies, cognitive performance, and self-reported health problems. Taken together, the findings provide robust evidence for the unique positions of different achievement emotions in the proposed taxonomy, as well as unique patterns of relations with external variables. Directions for future research and implications for policy and practice are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

School principals' mental health and well-being under threat: A longitudinal analysis of workplace demands, resources, burnout, and well-being.

Schools are critical organisational settings, and school principals face extreme stress levels. However, there are few large-scale, longitudinal studies of demands and resources that drive principals' health and well-being. Using the Job Demands-Resources (JD-R) framework, we evaluated longitudinal reciprocal effects over 3 years relating to job demands, job resources (resilience), job-related outcomes (burnout and job satisfaction), and personal outcomes (happiness and physical health) for a nationally representative sample of 3683 Australian school principals. Prior demands and resources led to small changes in subsequent outcomes, beneficial effects of resources, and adverse effects of demands, particularly for job-related outcomes. Furthermore, we also found reverse-reciprocal effects, prior outcomes (burnout and job satisfaction) influencing subsequent job characteristics. However, in response to substantively and theoretically important research questions, we found no support for Yerkes-Dodson Law (nonlinear effects of demands) or Nietzsche effects and inoculation effects (that which does not kill you, makes you stronger; manageable levels of demands build resilience). Relating our study to new and evolving issues in JD-R research, we offer limitations of our research-and JD-R theory and research more generally-and directions for further research in this essentially unstudied application of JD-R to school principals' mental health and well-being.

Overcoming Limitations in Peer-Victimization Research That Impede Successful Intervention: Challenges and New Directions.

Peer victimization at school is a worldwide problem with profound implications for victims, bullies, and whole-school communities. Yet the 50-year quest to solve the problem has produced mostly disappointing results. A critical examination of current research reveals both pivotal limitations and potential solutions. Solutions include introducing psychometrically sound measures to assess the parallel components of bullying and victimization, analyzing cross-national data sets, and embracing a social-ecological perspective emphasizing the motivation of bullies, importance of bystanders, pro-defending and antibullying attitudes, classroom climate, and a multilevel perspective. These solutions have been integrated into a series of recent interventions. Teachers can be professionally trained to create a highly supportive climate that allows student-bystanders to overcome their otherwise normative tendency to reinforce bullies. Once established, this intervention-enabled classroom climate impedes bully-victim episodes. The take-home message is to work with teachers on how to develop an interpersonally supportive classroom climate at the beginning of the school year to catalyze student-bystanders' volitional internalization of pro-defending and antibullying attitudes and social norms. Recommendations for future research include studying bullying and victimization simultaneously, testing multilevel models, targeting classroom climate and bystander roles as critical intervention outcomes, and integrating school-wide and individual student interventions only after improving social norms and the school climate.

Mastery-approach goals: A large-scale cross-cultural analysis of antecedents and consequences.

Mastery-approach (MAP) goals, focusing on developing competence and acquiring task mastery, are posited to be the most optimal, beneficial type of achievement goal for academic and life outcomes. Although there is meta-analytic evidence supporting this finding, such evidence does not allow us to conclude that the extant MAP goal findings generalize across cultures. Meta-analyses have often suffered from overrepresentation of Western, educated, industrialized, rich, and democratic (WEIRD) samples; reliance on bivariate correlations; and lack the ability to directly control individual-level background variables. To address these limitations, this study used nationally representative data from 77 countries/regions (N = 595,444 adolescents) to examine the relations of MAP goals to four antecedents (workmastery, competitiveness, fear of failure, fixed mindset) and 16 consequences (task-specific motivational, achievement-related, and well-being outcomes), and tested the cross-cultural generalizability of these relations. Results showed that MAP goals were: (a) grounded primarily in positive but not negative achievement motives/beliefs; (b) most strongly predictive of well-being outcomes, followed by adaptive motivation; (c) positively but consistently weakly associated with achievement-related outcomes, particularly for academic performance (ß = .069); (d) negatively and weakly associated with maladaptive outcomes; and (e) uniquely predictive of various consequences, controlling for the antecedents and covariates. Further, the MAP goal predictions were generalizable across countries/regions for 13 of 16 consequences. While directions of effect sizes were slightly mixed for academic performance, perceived reading, and PISA test difficulty, the effect sizes were consistently small for most countries/regions. This generalizability points to quite strong cross-cultural support for the observed patterns. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Illusory gender-equality paradox, math self-concept, and frame-of-reference effects: New integrative explanations for multiple paradoxes.

Gender-equality paradoxes (GEPs) posit that gender gaps in math self-concepts (MSCs) are larger-not smaller-in countries with greater gender equality. These paradoxical results suggest that efforts to improve gender equality might be counterproductive. However, we show that this currently popular explanation of gender differences is an illusory, epi-phenomenon (485,490 students, 18,292 schools, 68 countries/regions). Between-country (absolute) measures of gender equality are confounded with achievement and socioeconomic-status; tiny GEPs disappear when controlling achievement and socioeconomic-status. Critically, even without controls GEPs are not supported when using true gender-gap measures-within-country (relative) female-male differences, that hold many confounds constant. This absolute/relative-gap distinction is more important than the composite/domain-specific distinction for understanding why even tiny GEPs are illusory. Recent developments in academic self-concept theory are relevant to GEPs and gender differences, but also explain other, related paradoxes. The big-fish little pond effect posits that attending schools with high school-average math achievements leads to lower MSCs. Extending this theoretical model to the country-level, we show that countries with high country-average math achievements also have lower MSCs. Dimensional comparison theory predicts that MSCs are positively predicted by math achievements but negatively predicted by verbal achievements. Extending this theoretical model, we show that girls' low MSCs are due more to girls' high verbal achievements that detract from their MSCs than to their low math achievements. In support of the pan-human wide generalizability of our findings, our cross-national results generalize over 68 country/regions as well as multiple math self-belief constructs (self-efficacy, anxiety, interest, utility, future plans) and multiple gender-equality measures. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Development in relationship self-concept from high school to university predicts adjustment.

Helping students adjust to university life is a critical developmental issue. Using longitudinal data from 1652 German late adolescents, this research tested the effect of initial high-school parent, same-sex, and opposite sex self-concept and its change on university dropout intentions, study stress, and study satisfaction. High-school self-concept predicted all outcomes. Change across the postschool transition in parent and same self-concept also predicted most outcomes. Change in opposite sex self-concept predicted no outcome. We argue young people's relationship self-beliefs are critical for successful developmental transitions. Consistent with previous research, we argue that parents remain a vital relationship for late adolescents. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Confirmatory Factor Analysis (CFA), Exploratory Structural Equation Modeling (ESEM), and Set-ESEM: Optimal Balance Between Goodness of Fit and Parsimony.

CFAs of multidimensional constructs often fail to meet standards of good measurement (e.g., goodness-of-fit, measurement invariance, and well-differentiated factors). Exploratory structural equation modeling (ESEM) represents a compromise between exploratory factor analysis' (EFA) flexibility, and CFA/SEM's rigor and parsimony, but lacks parsimony (particularly in large models) and might confound constructs that need to be kept separate. In Set-ESEM, two or more a priori sets of constructs are modeled within a single model such that cross-loadings are permissible within the same set of factors (as in Full-ESEM) but are constrained to be zero for factors in different sets (as in CFA). The different sets can reflect the same set of constructs on multiple occasions, and/or different constructs measured within the same wave. Hence, Set-ESEM that represents a middle-ground between the flexibility of traditional-ESEM (hereafter referred to as Full-ESEM) and the rigor and parsimony of CFA/SEM. Thus, the purposes of this article are to provide an overview tutorial on Set-ESEM, juxtapose it with Full-ESEM, and to illustrate its application with simulated data and diverse "real" data applications with accessible, heuristic explanations of best practice.

The well-being profile (WB-Pro): Creating a theoretically based multidimensional measure of well-being to advance theory, research, policy, and practice.

There is no universally agreed definition of well-being as a subjective experience, but Huppert and So (2013) adopted and systematically applied the definition of well-being as positive mental health-the opposite of the common mental disorders described in standard mental health classifications (e.g., Diagnostic and Statistical Manual of Mental Disorders). We extended their theoretical approach to include multi-item scales, using 2 waves of nationally representative U.S. adult samples to develop, test, and validate our multidimensional measure of well-being (WB-Pro). This resulted in a good-fitting a priori (48-item, 15-factor) model that was invariant over time, education, gender, and age; showed good reliability (coefficient αs .81-.93), test-retest correlation (.73-.85; M = .80), and convergent/discriminant validity based on a multitrait-multimethod analysis, and relations with demographic variables, selected psychological measures, and other multidimensional and purportedly unidimensional well-being measures. Further, we found that items from 2 widely used, purportedly unidimensional well-being measures loaded on different WB-Pro factors consistent with a priori predictions based on the WB-Pro factor structure, thereby calling into question their claimed unidimensionality and theoretical rationale. Because some applications require a short global measure, we used a machine-learning algorithm to construct 2 global well-being short versions (five- and 15-item forms) and tested these formative measures in relation to the full-form and validity criteria (to download short and long versions see https://ippe.acu.edu.au/research/research-instruments/wb-pro). The WB-Pro appears to be one of the most comprehensive measures of subjective well-being, based on a sound conceptual model and empirical support, with broad applicability for research and practice, as well as providing a framework for evaluating the breadth of other well-being measures. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Happy fish in little ponds: Testing a reference group model of achievement and emotion.

A theoretical model linking achievement and emotions is proposed. The model posits that individual achievement promotes positive achievement emotions and reduces negative achievement emotions. In contrast, group-level achievement is thought to reduce individuals' positive emotions and increase their negative emotions. The model was tested using one cross-sectional and two longitudinal datasets on 5th to 10th grade students' achievement emotions in mathematics (Studies 1-3: Ns = 1,610, 1,759, and 4,353, respectively). Multilevel latent structural equation modeling confirmed that individual achievement had positive predictive effects on positive emotions (enjoyment, pride) and negative predictive effects on negative emotions (anger, anxiety, shame, and hopelessness), controlling for prior achievement, autoregressive effects, reciprocal effects, gender, and socioeconomic status (SES). Class-level achievement had negative compositional effects on the positive emotions and positive compositional effects on the negative emotions. Additional analyses suggested that self-concept of ability is a possible mediator of these effects. Furthermore, there were positive compositional effects of class-level achievement on individual achievement in Study 2 but not in Study 3, indicating that negative compositional effects on emotion are not reliably counteracted by positive effects on performance. The results were robust across studies, age groups, synchronous versus longitudinal analysis, and latent-manifest versus doubly latent modeling. These findings imply that individual success drives emotional well-being, whereas placing individuals in high-achieving groups can undermine well-being. Thus, the findings challenge policy and practice decisions on achievement-contingent allocation of individuals to groups. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Validating the Copenhagen Psychosocial Questionnaire (COPSOQ-II) Using Set-ESEM: Identifying Psychosocial Risk Factors in a Sample of School Principals.

School principals world-wide report high levels of strain and attrition resulting in a shortage of qualified principals. It is thus crucial to identify psychosocial risk factors that reflect principals' occupational wellbeing. For this purpose, we used the Copenhagen Psychosocial Questionnaire (COPSOQ-II), a widely used self-report measure covering multiple psychosocial factors identified by leading occupational stress theories. We evaluated the COPSOQ-II regarding factor structure and longitudinal, discriminant, and convergent validity using latent structural equation modeling in a large sample of Australian school principals (N = 2,049). Results reveal that confirmatory factor analysis produced marginally acceptable model fit. A novel approach we call set exploratory structural equation modeling (set-ESEM), where cross-loadings were only allowed within a priori defined sets of factors, fit well, and was more parsimonious than a full ESEM. Further multitrait-multimethod models based on the set-ESEM confirm the importance of a principal's psychosocial risk factors; Stressors and depression were related to demands and ill-being, while confidence and autonomy were related to wellbeing. We also show that working in the private sector was beneficial for showing a low psychosocial risk, while other demographics have little effects. Finally, we identify five latent risk profiles (high risk to no risk) of school principals based on all psychosocial factors. Overall the research presented here closes the theory application gap of a strong multi-dimensional measure of psychosocial risk-factors.