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Blanton, Buunk, Gibbons, and Kuyper (1999) and Huguet, Dumas, Monteil, and Genestoux (2001) found that children nominated a social comparison target who slightly outperformed them in class with a beneficial effect on course grades - an assimilation effect, but with no effects on self-evaluation. However, big-fish-little-pond effect (BFLPE) research has shown that attending a high-ability school has a negative effect on academic self-concept--a contrast effect. To resolve this apparent conflict, the present investigation (1) tested the BFLPE in the Netherlands and France, using nationally representative samples (Study 1) and (2) further analysed (using more sophisticated analyses) the Dutch (Blanton et al.) study (Study 2) and the French (Huguet et al.) study including new French data (Study 3), to examine whether the BFLPE coexisted with, or was moderated by, the beneficial impact of upward comparisons. In support of the BFLPE, all studies found the negative effects of school- or class-average ability on self-evaluation, demonstrating that these assimilation and contrast effects can coexist. [ABSTRACT FROM AUTHOR]

Confirmatory factor analysis of responses by 211 preadolescents (M age = 10.25 years,SD = 1.48) with mild intellectual disabilities (MIDs) to the individually administered Self Description Questionnaire IDSIndividual Administration (SDQI-IA) counters widely cited claims that these children cannot differentiate multiple self-concept factors. Results provide clear support for the a priori eight-factor solution, modest correlations between the factors (Mdn r = .38), substantial reliabilities (Mdn = .90), and invariance of the factor solution over gender, age, and educational placement (regular vs. special, segregated classes). Also introduced is a new hybrid compromise between multigroup and multipleindicator-multiple-cause (MIMIC) approaches to latent mean differences. Consistent with a priori predictions, preadolescents with MIDs have lower self-concepts in segregated classes than in regular classes for three academic self-concept scales (reading, math, and general-school) and, to a lesser extent, peer relationships and global selfesteem, but not for the other three nonacademic components of self-concept (physical, appearance, and parent relationships). [ABSTRACT FROM AUTHOR]

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; M age  = 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., (© 2023 The Authors. Child Development published by Wiley Periodicals LLC on behalf of Society for Research in Child Development.)

Individuals' subjective well-being (SWB) is an important marker of development and social progress. As psychological health issues often begin during adolescence, understanding the factors that enhance SWB among adolescents is critical to devising preventive interventions. However, little is known about how institutional contexts contribute to adolescent SWB. Using Programme for International Student Assessment (PISA) 2015 and 2018 data from 78 countries ( N = 941,475), we find that gender gaps in adolescents' SWB (life satisfaction, positive and negative affect) are larger in more gender-equal countries. Results paradoxically indicated that gender equality enhances boys' but not girls' SWB, suggesting that greater gender equality may facilitate social comparisons across genders. This may lead to an increased awareness of discrimination against females and consequently lower girls' SWB, diluting the overall benefits of gender equality. These findings underscore the need for researchers and policy-makers to better understand macro-level factors, beyond objective gender equality, that support girls' SWB., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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., (© 2023. The Author(s).)

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).

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., (© 2022 The Authors. Applied Psychology: Health and Well-Being published by John Wiley & Sons Ltd on behalf of International Association of Applied Psychology.)

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 (β = .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).

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).

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., Competing Interests: We have no known conflict of interest to disclose. Study materials and the dataset on which the analyses presented in the manuscript are based are deposited at doi:10.17632/2v2dnbrp6c.2., (© 2023 The Authors.)

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.

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).

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.

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.

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).

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., (© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

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).

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).

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).

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.

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).

The factorial structure of the Parental Bonding Instrument (PBI) has been frequently studied in diverse samples but no study has examined its psychometric properties from large, population-based samples. In particular, important questions have not been addressed such as the measurement invariance properties across parental and offspring gender. We evaluated the PBI based on responses from a large, representative population-based sample, using an exploratory structural equation modeling method appropriate for categorical data. Analysis revealed a three-factor structure representing "care," "overprotection," and "autonomy" parenting styles. In terms of psychometric measurement validity, our results supported the complete invariance of the PBI ratings across sons and daughters for their mothers and fathers. The PBI ratings were also robust in relation to personality and mental health status. In terms of predictive value, paternal care showed a protective effect on mental health at age 43 in sons. The PBI is a sound instrument for capturing perceived parenting styles, and is predictive of mental health in middle adulthood.

Scalar invariance is an unachievable ideal that in practice can only be approximated; often using potentially questionable approaches such as partial invariance based on a stepwise selection of parameter estimates with large modification indices. Study 1 demonstrates an extension of the power and flexibility of the alignment approach for comparing latent factor means in large-scale studies (30 OECD countries, 8 factors, 44 items, N = 249,840), for which scalar invariance is typically not supported in the traditional confirmatory factor analysis approach to measurement invariance (CFA-MI). Importantly, we introduce an alignment-within-CFA (AwC) approach, transforming alignment from a largely exploratory tool into a confirmatory tool, and enabling analyses that previously have not been possible with alignment (testing the invariance of uniquenesses and factor variances/covariances; multiple-group MIMIC models; contrasts on latent means) and structural equation models more generally. Specifically, it also allowed a comparison of gender differences in a 30-country MIMIC AwC (i.e., a SEM with gender as a covariate) and a 60-group AwC CFA (i.e., 30 countries × 2 genders) analysis. Study 2, a simulation study following up issues raised in Study 1, showed that latent means were more accurately estimated with alignment than with the scalar CFA-MI, and particularly with partial invariance scalar models based on the heavily criticized stepwise selection strategy. In summary, alignment augmented by AwC provides applied researchers from diverse disciplines considerable flexibility to address substantively important issues when the traditional CFA-MI scalar model does not fit the data. (PsycINFO Database Record, ((c) 2018 APA, all rights reserved).)

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.

Our newly proposed integrated academic self-concept model integrates 3 major theories of academic self-concept formation and developmental perspectives into a unified conceptual and methodological framework. Relations among math self-concept (MSC), school grades, test scores, and school-level contextual effects over 6 years, from the end of primary school through the first 5 years of secondary school (a representative sample of 3,370 German students, 42 secondary schools, 50% male, M age at grade 5 = 11.75) support the (1) internal/external frame of reference model: Math school grades had positive effects on MSC, but the effects of German grades were negative; (2) reciprocal effects (longitudinal panel) model: MSC was predictive of and predicted by math test scores and school grades; (3) big-fish-little-pond effect: The effects on MSC were negative for school-average achievement based on 4 indicators (primary school grades in math and German, school-track prior to the start of secondary school, math test scores in the first year of secondary school). Results for all 3 theoretical models were consistent across the 5 secondary school years: This supports the prediction of developmental equilibrium. This integration highlights the robustness of support over the potentially volatile early to middle adolescent period; the interconnectedness and complementarity of 3 ASC models; their counterbalancing strengths and weaknesses; and new theoretical, developmental, and substantive implications at their intersections. (PsycINFO Database Record, ((c) 2018 APA, all rights reserved).)

A reciprocal effects model linking emotion and achievement over time is proposed. The model was tested using five annual waves of the Project for the Analysis of Learning and Achievement in Mathematics (PALMA) longitudinal study, which investigated adolescents' development in mathematics (Grades 5-9; N = 3,425 German students; mean starting age = 11.7 years; representative sample). Structural equation modeling showed that positive emotions (enjoyment, pride) positively predicted subsequent achievement (math end-of-the-year grades and test scores), and that achievement positively predicted these emotions, controlling for students' gender, intelligence, and family socioeconomic status. Negative emotions (anger, anxiety, shame, boredom, hopelessness) negatively predicted achievement, and achievement negatively predicted these emotions. The findings were robust across waves, achievement indicators, and school tracks, highlighting the importance of emotions for students' achievement and of achievement for the development of emotions., (© 2017 The Authors. Child Development © 2017 Society for Research in Child Development, Inc.)

The factor structure of the Values in Action Inventory of Strengths (VIA-IS; Peterson & Seligman, 2004) has not been well established as a result of methodological challenges primarily attributable to a global positivity factor, item cross-loading across character strengths, and questions concerning the unidimensionality of the scales assessing character strengths. We sought to overcome these methodological challenges by applying exploratory structural equation modeling (ESEM) at the item level using a bifactor analytic approach to a large sample of 447,573 participants who completed the VIA-IS with all 240 character strengths items and a reduced set of 107 unidimensional character strength items. It was found that a 6-factor bifactor structure generally held for the reduced set of unidimensional character strength items; these dimensions were justice, temperance, courage, wisdom, transcendence, humanity, and an overarching general factor that is best described as dispositional positivity. (PsycINFO Database Record, ((c) 2017 APA, all rights reserved).)

The temporal ordering of depression, aggression, and victimization has important implications for theory, policy, and practice. For a representative sample of high school students (Grades 7-10; N = 3,793) who completed the same psychometrically strong, multiitem scales 6 times over a 2-year period, there were reciprocal effects between relational-aggression and relational-victimization factors: aggression led to subsequent victimization and victimization led to subsequent aggression. After controlling for prior depression, aggression, and victimization, depression had a positive effect on subsequent victimization, but victimization had no effect on subsequent depression. Aggression neither affected nor was affected by depression. The results suggest that depression is a selection factor that leads to victimization, but that victimization has little or no effect on subsequent depression beyond what can be explained by the preexisting depression. In support of developmental equilibrium, the results were consistent across the 6 waves. (PsycINFO Database Record, ((c) 2016 APA, all rights reserved).)

Previous research has suggested that parents' aspirations for their children's academic attainment can have a positive influence on children's actual academic performance. Possible negative effects of parental overaspiration, however, have found little attention in the psychological literature. Employing a dual-change score model with longitudinal data from a representative sample of German school children and their parents (N = 3,530; Grades 5 to 10), we showed that parental aspiration and children's mathematical achievement were linked by positive reciprocal relations over time. Importantly, we also found that parental aspiration that exceeded their expectation (i.e., overaspiration) had negative reciprocal relations with children's mathematical achievement. These results were fairly robust after controlling for a variety of demographic and cognitive variables such as children's gender, age, intelligence, school type, and family socioeconomic status. The results were also replicated with an independent sample of U.S. parents and their children. These findings suggest that unrealistically high parental aspiration can be detrimental for children's achievement. (PsycINFO Database Record, ((c) 2016 APA, all rights reserved).)

Ever since the classic research of Nicholls (1976) and others, effort has been recognized as a double-edged sword: while it might enhance achievement, it undermines academic self-concept (ASC). However, there has not been a thorough evaluation of the longitudinal reciprocal effects of effort, ASC, and achievement, in the context of modern self-concept theory and statistical methodology. Nor have there been developmental equilibrium tests of whether these effects are consistent across the potentially volatile early-to-middle adolescence. Hence, focusing on mathematics, we evaluate reciprocal effects models (REMs) over the first 4 years of secondary school (grades 5-8), relating effort, achievement (test scores and school grades), ASC, and ASC × Effort interactions for a representative sample of 3,144 German students (Mage = 11.75 years at Wave 1). ASC, effort, and achievement were positively correlated at each wave, and there was a clear pattern of positive reciprocal positive effects among ASC, test scores, and school grades-each contributing to the other, after controlling for the prior effects of all others. There was an asymmetrical pattern of effects for effort that is consistent with the double-edged sword premise: prior school grades had positive effects on subsequent effort, but prior effort had nonsignificant or negative effects on subsequent grades and ASC. However, on the basis of a synergistic application of new theory and methodology, we predicted and found a significant ASC × Effort interaction, such that prior effort had more positive effects on subsequent ASC and school grades when prior ASC was high-thus providing a key to breaking the double-edged sword. (PsycINFO Database Record, ((c) 2016 APA, all rights reserved).)

Teachers' self-efficacy is an important motivational construct that is positively related to a variety of outcomes for both the teachers and their students. This study addresses challenges associated with the commonly used 'Teachers' Sense of Self-Efficacy (TSES)' measure across countries and provides a synergism between substantive research on teachers' self-efficacy and the novel methodological approach of exploratory structural equation modeling (ESEM). These challenges include adequately representing the conceptual overlap between the facets of self-efficacy in a measurement model (cross-loadings) and comparing means and factor structures across countries (measurement invariance). On the basis of the OECD Teaching and Learning International Survey (TALIS) 2013 data set comprising 32 countries (N = 164,687), we investigate the effects of cross-loadings in the TSES measurement model on the results of measurement invariance testing and the estimation of relations to external constructs (i.e., working experience, job satisfaction). To further test the robustness of our results, we replicate the 32-countries analyses for three selected sub-groups of countries (i.e., Nordic, East and South-East Asian, and Anglo-Saxon country clusters). For each of the TALIS 2013 participating countries, we found that the factor structure of the self-efficacy measure is better represented by ESEM than by confirmatory factor analysis (CFA) models that do not allow for cross-loadings. For both ESEM and CFA, only metric invariance could be achieved. Nevertheless, invariance levels beyond metric invariance are better achieved with ESEM within selected country clusters. Moreover, the existence of cross-loadings did not affect the relations between the dimensions of teachers' self-efficacy and external constructs. Overall, this study shows that a conceptual overlap between the facets of self-efficacy exists and can be well-represented by ESEM. We further argue for the cross-cultural generalizability of the corresponding measurement model.

Confirmatory factor analyses (CFAs) typically fail to support the a priori 5-factor structure of Big Five self-report instruments, due in part to the overly restrictive CFA assumptions. We show that exploratory structural equation modeling (ESEM), an integration of CFA and exploratory factor analysis, overcomes these problems in relation to responses to the 44-item Big Five Inventory (BFI) administered to a large Italian community sample. ESEM fitted the data better and resulted in less correlated factors than CFA, although ESEM and CFA factor scores correlated at near unity with observed raw scores. Tests of gender invariance with a 13-model taxonomy of full measurement invariance showed that the factor structure of the BFI is gender-invariant and that women score higher on Neuroticism, Agreeableness, Extraversion, and Conscientiousness. Through ESEM one could address substantively important issues about BFI psychometric properties that could not be appropriately addressed through traditional approaches.

This study evaluated the nature of the life satisfaction construct with an emphasis on the comparison between a global or domain-specific operationalization during the transition from adolescence to adulthood. A combination of person-centered and variable-centered methods were used to analyze 7 waves of data covering the postschool transition from a sample of 24,721 youth participating in Longitudinal Study of Australian Youth (LSAY) between 1998 and 2010. Evidence for the increasing importance of a domain-specific approach as adolescents entered adulthood was provided by: (1) factor analyses identifying a 3-factor model covering achievement, family, and leisure satisfaction that proved invariant across time waves; (2) factor mixture analyses showing shape-related differences between profiles (i.e., within-profile differences between domains) that increased as young people moved into adulthood., ((c) 2015 APA, all rights reserved).)

Drawing on the expectancy-value model, the present study explored individual and gender differences in university entry and selection of educational pathway (e.g., science, technology, engineering, and mathematics [STEM] course selection). In particular, we examined the multiplicative effects of expectancy and task values on educational outcomes during the transition into early adulthood. Participants were from a nationally representative longitudinal sample of 15-year-old Australian youths (N = 10,370). The results suggest that (a) both math self-concept and intrinsic value interact in predicting advanced math course selection, matriculation results, entrance into university, and STEM fields of study; (b) prior reading achievement has negative effects on advanced math course selection and STEM fields through math motivational beliefs; and (c) gender differences in educational outcomes are mediated by gender differences in motivational beliefs and prior academic achievement, while the processes underlying choice of educational pathway were similar for males and females., ((c) 2015 APA, all rights reserved).)

Background: The Internal-External frame of reference (IE) model suggests that as self-concept in one domain goes up (e.g., English) self-concept in other domains (e.g., mathematics) should go down (ipsative self-concept hypothesis)., Aims: To our knowledge this assumption has not been tested. Testing this effect also provides a context for illustrating different approaches to the study of growth with longitudinal data., Sample: We use cohort sequential data from 2,781 of Year 7 to Year 11 Australian high school students followed across a total of 10 time waves 6 months apart., Method: Three different approaches to testing the ipsative self-concept hypothesis were used: Autoregressive cross-lagged models, latent growth curve models, and autoregressive latent trajectory models (ALT); using achievement as a time varying covariate., Results: Cross-lagged and growth curve models provided little evidence of ipsative relationships between English and math self-concept. However, ALT models suggested that a rise above trend in one self-concept domain resulted in a decline from trend in self-concept in another domain., Conclusion: Implications for self-concept theory, interventions, and statistical methods for the study of growth are discussed., (© 2014 The British Psychological Society.)

Elite athletes and nonathletes (N = 1,268) attending the same selective sport high school (4 high school age cohorts, grades 7-10, mean ages varying from 10.9 to 14.1) completed the same physical self-concept instrument 4 times over a 2-year period (multiple waves). We introduce a latent cohort-sequence analysis that provides a stronger basis for assessing developmental stability/change than either cross-sectional (multicohort, single occasion) or longitudinal (single-cohort, multiple occasion) designs, allowing us to evaluate latent means across 10 waves spanning a 5-year period (grades 7-11), although each participant contributed data for only 4 waves, spanning 2 of the 5 years. Consistent with the frame-of-reference effects embodied in the big-fish-little-pond effect (BFLPE), physical self-concepts at the start of high school were much higher for elite athletes than for nonathlete classmates, but the differences declined over time so that by the end of high school there were no differences in the 2 groups. Gender differences in favor of males had a negative linear and quadratic trajectory over time, but the consistently smaller gender differences for athletes than for nonathletes did not vary with time.

Test of measurement invariance across translated versions of questionnaires is a critical prerequisite to comparing scores on the different versions. In this study, we used exploratory structural equation modeling (ESEM) as an alternative approach to evaluate the measurement invariance of the Spanish version of the Physical Self-Description Questionnaire (PSDQ). The two versions were administered to large samples of Australian and Spanish adolescents. First, we compared the CFA and ESEM approaches and showed that ESEM fitted the data much better and resulted in substantially more differentiated factors. We then tested measurement invariance with a 13-model ESEM taxonomy. Results justified using the Spanish version of the PSDQ to carry out cross-cultural comparisons in sport and exercise psychology research. Overall, the study can stimulate research on physical self-concept across countries and foster better cross-cultural comparisons.

Background: The multidimensionality of the academic self-concept in terms of domain specificity has been well established in previous studies, whereas its multidimensionality in terms of motivational functions (the so-called affect-competence separation) needs further examination., Aim: This study aims at exploring differential effects of enjoyment and competence beliefs on two external validity criteria in the field of mathematics., Sample: Data analysed in this study were part of a large-scale longitudinal research project. Following a five-wave design, math enjoyment, math competence beliefs, math achievement, and perceived math effort expenditure measures were repeatedly collected from a cohort of 4,724 pupils in Grades 3-7., Method: Confirmatory factor analysis (CFA) was used to test the internal factor structure of the math self-concept. Additionally, a series of nested models was tested using structural equation modelling to examine longitudinal reciprocal interrelations between math competence beliefs and math enjoyment on the one hand and math achievement and perceived math effort expenditure on the other., Results: Our results showed that CFA models with separate factors for math enjoyment and math competence beliefs fit the data substantially better than models without it. Furthermore, differential relationships between both constructs and the two educational outcomes were observed. Math competence beliefs had positive effects on math achievement and negative effects on perceived math effort expenditure. Math enjoyment had (mild) positive effects on subsequent perceived effort expenditure and math competence beliefs., Conclusion: This study provides further support for the affect-competence separation. Theoretical issues regarding adequate conceptualization and practical consequences for practitioners are discussed., (© 2013 The British Psychological Society.)

Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and structural equation modeling (SEM) have long histories in clinical research. Although CFA has largely superseded EFA, CFAs of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors in support of discriminant validity. Part of the problem is undue reliance on overly restrictive CFAs in which each item loads on only one factor. Exploratory SEM (ESEM), an overarching integration of the best aspects of CFA/SEM and traditional EFA, provides confirmatory tests of a priori factor structures, relations between latent factors and multigroup/multioccasion tests of full (mean structure) measurement invariance. It incorporates all combinations of CFA factors, ESEM factors, covariates, grouping/multiple-indicator multiple-cause (MIMIC) variables, latent growth, and complex structures that typically have required CFA/SEM. ESEM has broad applicability to clinical studies that are not appropriately addressed either by traditional EFA or CFA/SEM.