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 Although CFA has largely superseded EFA, CFAs of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of differential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.

The passion scale, based on the dualistic model of passion, measures 2 distinct types of passion: Harmonious and obsessive passions are predictive of adaptive and less adaptive outcomes, respectively. In a substantive-methodological synergy, we evaluate the construct validity (factor structure, reliability, convergent and discriminant validity) of Passion Scale responses (N = 3,571). The exploratory structural equation model fit to the data was substantially better than the confirmatory factor analysis solution, and resulted in better differentiated (less correlated) factors. Results from a 13-model taxonomy of measurement invariance supported complete invariance (factor loadings, factor correlations, item uniquenesses, item intercepts, and latent means) over language (French vs. English; the instrument was originally devised in French, then translated into English) and gender. Strong measurement partial invariance over 5 passion activity groups (leisure, sport, social, work, education) indicates that the same set of items is appropriate for assessing passion across a wide variety of activities--a previously untested, implicit assumption that greatly enhances practical utility. Support was found for the convergent and discriminant validity of the harmonious and obsessive passion scales, based on a set of validity correlates: life satisfaction, rumination, conflict, time investment, activity liking and valuation, and perceiving the activity as a passion.

In this review we examine the evidence regarding self-determination theory within the school physical education context. We applied a multilevel structural equation modeling approach to meta-analyze data from a systematic review that identified 265 relevant studies. In line with theory, autonomous motivation was positively correlated with adaptive outcomes and negatively correlated with maladaptive outcomes. Introjected regulation was modestly correlated with both adaptive and maladaptive outcomes. External regulation and amotivation both showed negative relationships with adaptive outcomes, and positive relationship with maladaptive outcomes. Also supporting SDT, autonomy, competence, and relatedness satisfactions were strongly correlated with autonomous student motivation, and less strongly, but still positively, correlated with introjected regulation. Weak negative correlations were found between autonomy, competence, and relatedness and external regulation. Amotivation had moderate negative correlations with needs satisfaction. Findings further revealed that teachers more greatly impact classroom experiences of autonomy and competence, whereas relatedness in physical education is associated with both peer and teacher influences. Educational Impact and Implications StatementWe found that the different types of motivation identified in SDT differentially predict student outcomes in predicted ways, and that these motivations are systematically associated with instructor supports for students' basic psychological needs. Although teachers can support all three students' psychological needs, teachers appear to have greater influence on students' autonomy and competence, whereas peers seem to have more impact on students' relatedness. These results have implications for the design of teacher and peer focused interventions.

The domain in which physical activity occurs influences the relationship between physical activity and mental health and should, therefore, be considered when developing interventions, treatment programs, and policy guidelines.

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

Most empirical studies of emotion regulation have relied on retrospective trait measures, and have not examined the link between daily regulatory strategies and every day emotional well-being. We used a daily diary methodology with multilevel modelling data analyses (n = 187) to examine the influence of three emotion regulation strategies (mindfulness, cognitive reappraisal and emotion suppression) on the experience of daily negative and positive affect. Our results suggested that daily mindfulness was associated with lower negative and higher positive affect whereas the converse pattern was found for daily emotion suppression; cognitive reappraisal was related to daily positive, but not negative affect. When daily mindfulness, suppression and reappraisal were included in the same models, these strategies predicted unique variance in emotional well-being. Random slope analyses revealed substantial variability in the utility of these strategies. Indeed the presumably "adaptive" cognitive reappraisal strategy seemed to confer no benefit to the regulation of negative affect in approximately half the sample. Additional analyses revealed that age moderates the effect of cognitive reappraisal on daily negative affect: Higher use of reappraisal was associated with more negative affect for adolescents (aged 17 to 19) but became associated with less negative affect with increasing age. We interpret these results in line with a contextual view of emotion regulation where no strategy is inherently "good" or "bad".

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.

While the roles of student misbehavior and teacher self-efficacy in teacher burnout have been investigated, there is still a pressing need to determine the processes involved and the degree to which these generalize across early career teachers. The present research integrates findings on teacher self-efficacy, occupational Stressors, and emotional exhaustion. A moderated mediation model is hypothesized where self-efficacy in classroom management predicts emotional exhaustion via classroom disturbances, but the strength of this whole mediation process is moderated by teachers' level of self-efficacy in classroom management. A sample of 1,227 German teacher candidates was used to test this hypothesis in 2 complementary studies. Study 1, based on the whole sample, utilized latent modeling and latent interactions, while Study 2 was based on a random longitudinal subsample of Study 1. The results generally supported our assumptions; the proposed moderated mediation model proved to be statistically significant, even when introducing background covariates into the model to control for pre-existing differences. Thus, self-efficacy in classroom management predicted emotional exhaustion via classroom disturbances only when self-efficacy in classroom management was low. Implications for teacher preservice training, based on the results, are discussed.