Understanding the influencing factors of foreign language teachers' work engagement: A meta-analytic structural equation model.

The work engagement of foreign language teachers enhances both their performance and the quality of instruction. Recent studies have highlighted the pivotal roles of emotional intelligence, job burnout, and self-efficacy in fostering teachers' work engagement. Despite this, the complex interactions between these factors in the context of foreign language teaching remain underexplored. This study conducts a meta-analytic review to examine the connections among work engagement, emotional intelligence, burnout, and self-efficacy among foreign language educators. Utilizing a chain mediation model, it probes the mechanism through which emotional intelligence impacts work engagement, based on an analysis of 49 scholarly articles. Results from the meta-analysis robustly validate the hypothesized model. Specifically, emotional intelligence contributes to work engagement via four distinct routes: direct mediation through self-efficacy, direct mediation through job burnout, and chain mediation involving self-efficacy and job burnout. Of the evaluated factors, emotional intelligence had the most significant impact on enhancing work engagement. Implications of these findings may facilitate the training and ongoing professional development of foreign language teachers.

A comparison of univariate and meta-analytic structural equation modeling approaches to reliability generalization applied to the Maslach Burnout Inventory.

Introduction: Reliability is a property of tests scores that varies from sample to sample. One way of generalizing reliability of a test is to perform a meta-analysis on some reliability estimator. In 2011, a reliability generalization meta-analysis on the Maslach Burnout Inventory (MBI) was conducted, concluding that average alpha values for the MBI dimensions ranged from 0.71 to 0.88. In the present study, we aimed to update the average reliability values of the MBI by conducting a literature search from 2010 until now and comparing to statistical procedures of meta-analysis: the Univariate approach, that were used in the previous study, and a novel meta-analytic approach based on structural equation modeling. Method: An estimation of average reliability was done based on 69 independent primary reliability coefficients for the Univariate approach. The average reliability was based on 9 independent studies in the case of the Meta-analytic Structural Equation Modeling (MASEM) approach. Given that MASEM has the additional capability of testing the internal structure of a test, we also fitted several models. Results: The data was well-suited to the bifactor model, revealing the dominance of the general factor over the domain-specific ones. Acceptable overall alpha and omega coefficients were achieved for the two of the MBI dimensions, having depersonalization reliability estimates below recommendations. Discussion: In general, the MBI can be viewed as a highly interconnected three-factor scale, being its appropriate for research purposes.

Work pressure, coping styles and occupational burnout among Chinese police officers: a meta-analytic review.

The present study conducted a comprehensive meta-analysis to systematically review the relationship between occupational burnout and work pressure among Chinese police officers. Additionally, the study explored the mediating role of coping styles using a meta-analytic structural equation model. The investigation involved a thorough search of CNKI, PubMed, PsychInfo, Web of Science, and Google Scholar databases, resulting in the identification of a total of 39 studies with 124 effect sizes and 14,089 police officers. The findings revealed a positive correlation between work pressure and occupational burnout among Chinese police officers (r = 0.410, 95% CI = [0.347, 0.469]). Furthermore, negative coping styles mediate the relationship between work pressure and occupational burnout. Importantly, these conclusions held true across various work regions for police officers. These results provide insights into the relationship magnitude between work pressure and occupational burnout in Chinese police work and shed light on the underlying mechanisms. Based on these findings, it is recommended that interventions focusing on reducing work pressure and fostering positive coping styles be implemented to mitigate occupational burnout among police officers.

Inflammation as a mediator between adverse childhood experiences and adult depression: A meta-analytic structural equation model.

Exposure to adverse childhood experiences (ACEs) confers a higher risk of developing depression in adulthood, yet the mediation of inflammation remains under debate. To test this model, we conducted a systematic review and two-stage structural equation modelling meta-analysis of studies reporting correlations between ACEs before age 18, inflammatory markers and depression severity in adulthood. Scopus, Pubmed, Medline, PsycInfo, and CINAHL were searched up to 2 October 2023. Twenty-two studies reporting data on C-reactive protein (CRP, n = 12,935), interleukin-6 (IL-6, n = 4108), tumour necrosis factor-α (TNF-α, n = 2256) and composite measures of inflammation (n = 1674) were included. Unadjusted models revealed that CRP (ß = 0.003, 95 % LBCI 0.0002 to 0.0068), IL-6 (ß = 0.003, 95 % LBCI 0.001 to 0.006), and composite inflammation (ß = 0.009, 95 % LBCI 0.004 to 0.018) significantly mediated the association between ACEs and adult depression. The mediation effects no longer survived after adjusting for BMI; however, a serial mediation model revealed that BMI and IL-6 sequentially mediated the association between ACEs and depression (ß = 0.002, 95 % LBCI 0.0005 to 0.0046), accounting for 14.59 % and 9.94 % of the variance of IL-6 and depressive symptoms, respectively. Due to the cross-sectional nature of assessment of inflammation and depression findings should be approached with caution; however, results suggest that complex interactions of psychoneuroimmunological and metabolic factors underlie the association between ACEs and adulthood depression.

Meta-analysis of the Difficulties in Emotion Regulation Scale and its short forms: A two-part study.

The Difficulties in Emotion Regulation Scale (DERS) is the most used self-report questionnaire to assess deficits in emotion regulation (ER), composed of 6 dimensions and 36 items. Many studies have evaluated its factor structure, not always confirming the original results, and proposed different factor models. A possible way to try to identify the dimensionality of the DERS could be through a meta-analysis with structural equation models (MASEM) of its factor structure. The MASEM indicated that a six-factor model with 32 items (DERS-32) was the most suitable to represent the dimensionality of the DERS (χ2 = 2095.96, df = 449, p < .001; root mean square error of approximation [RMSEA] = 0.024, 95% confidence interval [CI]: 0.023-0.025; comparative fit index [CFI] = 0.97; Tucker Lewis index [TLI] = 0.96; standardized root mean squared residual [SRMR] = 0.04). This result was also confirmed by a confirmatory factor analysis (χ2 = 3229.67, df = 449, p < 0.001; RMSEA = 0.075, 95% CI: 0.073-0.078; CFI = 0.94; TLI = 0.93; SRMR = 0.05) on a new sample (1092 participants; mean age: 28.28, SD = 5.82 years) recruited from the Italian population. Analyses and results from this sample are reported in the second study of this work. The DERS-32 showed satisfactory internal consistency (i.e., ordinal α, Molenaar Sijtsma statistic, and latent class reliability coefficient) for all its dimensions and correctly categorized individuals with probable borderline symptomatology. In conclusion, the DERS-32 has demonstrated to be the best model for the DERS among all the others considered in this work, as well as a reliable tool to assess deficits in ER.

How Collective Efficacy Mediates the Association between Principal Instructional Leadership and Teacher Self-Efficacy: Findings from a Meta-Analytic Structural Equation Modeling (MASEM) Study.

Principal instructional leadership (PIL) is significant for school effectiveness due to its direct and indirect influences on school-, teacher-, and student-level variables. A considerable number of studies have provided persuasive evidence that PIL is associated with both collective efficacy (CEF) and teacher self-efficacy (TSEF), two significant variables to sustain the quality of instruction. These studies were conducted with a variety of participants from various contexts. The current study aims to investigate the association between PIL and TSEF, and the mediating role of CEF in this association using meta-analytical structural equation modeling (MASEM). This analysis was conducted using the correlation values obtained from 26 studies focusing on their relationship and included data from a population of 19.584 participants from around the world, thus providing a more generalizable perspective on these variables. The results indicated that PIL was correlated with both CEF and TSEF, and the combined influence of PIL and CEF on TSEF was 31%. The study findings also showed that the scales used to measure PIL could produce different results regarding these relationships, while gender did not have a significant effect. These results suggest significant implications for researchers, policymakers, and practitioners to sustain school effectiveness in the fast-changing context of schools in the twenty-first century.

Relationship between social participation and life satisfaction in community-dwelling older adults: Multiple mediating roles of depression and cognitive function.

BACKGROUND: Numerous studies have explored the relationship between social participation, depression, cognitive function, and life satisfaction in community-dwelling older adults. However, the results of these studies were not consistent. Therefore, the in-depth excavation of the complex relationship mechanism between these four variables is limited. This study aims to explore whether depression and cognitive function act as the multiple mediators between social participation and life satisfaction in community-dwelling older adults. METHODS: This study used the meta-analytic structural equation modeling (MASEM) approach. Six databases were comprehensively searched to investigate the relationship between social participation, depression, cognitive function, and life satisfaction in community-dwelling older adults from inception to March 1, 2023. RESULTS: The analysis included 50 articles that reported 66 effect sizes (N = 161,854). The MASEM found the relationship between social participation and life satisfaction was mediated by depression [ß = 0.085, 95 % CI (0.053, 0.126)] and by cognitive function [ß = 0.015, 95 % CI (0.002, 0.033)], respectively. Depression and cognitive function also played multiple mediating roles between social participation and life satisfaction in community-dwelling older adults [ß = 0.005, 95 % CI (0.001, 0.012)]. CONCLUSIONS: There was not only a direct association between social participation and life satisfaction, but also an association through multiple mediating roles of depression and cognitive function in community-dwelling older adults. In the process of using diverse interventions to promote social participation in community-dwelling older adults, more attention should be paid to their psychological status and cognitive function to eliminate intrinsic barriers so as to improve life satisfaction effectively.

Counterproductive Academic Behaviors and Academic Performance: A Meta-Analysis and a Path Analysis Model.

Counterproductive academic behaviors (CAB) are a complex phenomenon that affects academic institutions in multiple geographical areas with different cultures, values, and social norms. The high incidence of CAB causes problems of critical importance that transcend the educational domain. The current study aims to contribute to the knowledge of the CAB consequences by focusing on its impact on academic performance (AP). For this purpose, a meta-analysis was conducted in order to examine the relationship between CAB, its facets, and AP. The results show that overall CAB and students' performance are negatively related with a true effect size of ρ = -0.40 (K = 231, N = 127,269). Particularly, absenteeism appeared to be the facet most strongly related to AP (ρ = -0.48, K = 117, N = 69,453). A meta-analytic path analysis model was carried out in order to test the predictive validity of CAB, students' personality characteristics, and intelligence on AP. Results show that conscientiousness and cognitive intelligence have a negative relationship with CAB (ß = -0.28 and ß = -0.20, respectively), and that conscientiousness, openness to experience, intelligence, and CAB can explain 58% of AP true variance. Meta-analyses of moderator variables and hierarchical meta-analyses are also presented. The implications for research and practice are discussed at the end.

The Mediating Effect of Parenting Stress on the Relationship Between Social Support and Quality of Life in Parents of Children With Autistic Spectrum Disorder: A Meta-Analytic Structural Equation Modeling.

OBJECTIVE: The aim of the present study is to investigate whether parenting stress mediate the relationship between social support and quality of life in parents of children with Autistic Spectrum Disorder. In addition, we examined what other variables moderate the relationships in this mediation model. METHODS: Using the two-stage meta-analytic structural equation modeling approach (MASEM), 44 correlation matrices were synthesized from 28 empirical studies (N = 13,270) and fitted to the hypothesized mediation model. RESULTS: There is a significant partial mediation effect of parenting stress on the relationship between social support and quality of life. Subgroup analysis through the first stage analysis suggested that social support measurements, parental role, and child's age moderated the relationship between social support and parenting stress, and that the focus of quality of life moderated the relationship between social support and quality of life. Subgroup analysis through the second stage analysis indicated that parenting stress had a significantly stronger predictive effect on quality of life in Western culture, while the predictive effect of social support on quality of life was significantly stronger in Eastern culture. CONCLUSION: Having more social support can reduce parents' stress and then improving their quality of life, which can help them cope more positively and effectively with their autistic children.

A Systematic Review on the Impact of Hot and Cool Executive Functions on Pediatric Injury Risks: a Meta-Analytic Structural Equation Modeling Approach.

Injury is a leading cause of morbidity and mortality among children in the USA. Understanding the impact of executive functions (EFs) on the risk of injuries is crucial for developing effective interventions. However, literature has failed to examine the relationship between multiple EFs and injury domains. The present paper quantitatively synthesized research on cool and hot EFs and children's intentional and unintentional injury risks using a novel meta-analytic structural equation modeling (MASEM) approach. A systematic review was conducted in the following databases: PsycINFO, Scopus, SafetyLit, Cochrane Central, and PubMed (Medline). After screening titles, abstracts, and full texts, a total of 31 studies were eligible for the MASEM analysis. One-stage MASEM was conducted on six conceptualized path analysis models according to the complexity of exogenous and endogenous variables. The MASEM models suggested that hot and cool EFs were negatively associated with children's risk of injury or injury-related risk behaviors regardless of mean age and proportion of females. Among cool EF skills, inhibitory control, but not working memory or cognitive flexibility, was significantly associated with risks of unintentional injuries. Emotion regulation was the dominant hot EF skill examined in the literature and was found significantly associated with risks of non-suicidal self-injuries (NSSIs). EF has a significant impact on children's risk of both unintentional and intentional injuries. Future research should focus on the combined force of hot and cool EF on children's risks of injuries and injury-related risk behaviors.

A Primer on Meta-Analytic Structural Equation Modeling: the Case of Depression.

In this paper, we show how the methods of systematic reviewing and meta-analysis can be used in conjunction with structural equation modeling to summarize the results of studies in a way that will facilitate the theory development and testing needed to advance prevention science. We begin with a high-level overview of the considerations that researchers need to address when using meta-analytic structural equation modeling (MASEM) and then discuss a research project that brings together theoretically important cognitive constructs related to depression to (a) show how these constructs are related, (b) test the direct and indirect effects of dysfunctional attitudes on depression, and (c) test the effects of study-level moderating variables. Our results suggest that the indirect effect of dysfunctional attitudes (via negative automatic thinking) on depression is two and a half times larger than the direct effect of dysfunctional attitudes on depression. Of the three study-level moderators tested, only sample recruitment method (clinical vs general vs mixed) yielded different patterns of results. The primary difference observed was that the dysfunctional attitudes → automatic thoughts path was less strong for clinical samples than it was for general and mixed samples. These results illustrate how MASEM can be used to compare theoretically derived models and predictions resulting in a richer understanding of both the empirical results and the theories underlying them.

Meta-analytic structural equation modeling made easy: A tutorial and web application for one-stage MASEM.

Meta-analytic structural equation modeling (MASEM) refers to fitting structural equation models (SEMs) (such as path models or factor models) to meta-analytic data. Currently, fitting MASEMs may be challenging for researchers that are not accustomed to working with R software and packages. Therefore, we developed webMASEM; a web application for MASEM. This app implements the one-stage MASEM approach, and allows users to apply MASEM in a user-friendly way. The aim of this article is to provide a tutorial on one-stage MASEM and a practical guide to webMASEM. We will pay specific attention to how the data should be structured and prepared for webMASEM, because mistakes in this step may lead to faulty results without receiving an error message. The use of webMASEM is illustrated with an analysis of a meta-analytic path model in which the path coefficients are moderated by a study-level variable, a meta-analytic factor model in which the factor loadings are moderated by a study-level variable, and a meta-analytic panel model in which the effects are moderated by a study-level variable. All used datafiles and R scripts are available online.

Predicting organic food consumption: A meta-analytic structural equation model based on the theory of planned behavior.

During the last decade, the purchase of organic food within a sustainable consumption context has gained momentum. Consequently, the amount of research in the field has increased, leading in some cases to discrepancies regarding both methods and results. The present review examines those works that applied the theory of planned behavior (TPB; Ajzen, 1991) as a theoretical framework in order to understand and predict consumers' motivation to buy organic food. A meta-analysis has been conducted to assess the strength of the relationships between attitude, subjective norms, perceived behavioral control, and intention, as well as between intention and behavior. Results confirm the major role played by individual attitude in shaping buying intention, followed by subjective norms and perceived behavioral control. Intention-behavior shows a large effect size, few studies however explicitly reported such an association. Furthermore, starting from a pooled correlation matrix, a meta-analytic structural equation model has been applied to jointly evaluate the strength of the relationships among the factors of the original model. Results suggest the robustness of the TPB model. In addition, mediation analysis indicates a potential direct effect from subjective norms to individual attitude in the present context. Finally, some issues regarding methodological aspects of the application of the TPB within the context of organic food are discussed for further research developments.