Meta-analytic Structural Equation Modeling Research Articles

On the Structure of Affect

Abstract. The Positive and Negative Affect Schedule (PANAS; Watson et al., 1988 ) is a popular self-report questionnaire that is administered all over the world. Though originally developed to measure two independent factors, different models have been proposed in the literature. Comparisons among alternative models as well as analyses concerning their robustness in cross-national research have left an inconclusive picture. Therefore, the present study evaluates the dimensionality of the PANAS and differences between English and translated versions of the PANAS using a meta-analytic structural equation modeling approach. Correlation matrices from 57 independent samples ( N = 54,043) were pooled across subsamples. For both English and non-English samples, a correlated two-factor model including correlated uniquenesses provided the best fit. However, measurement invariance analyses indicated differences in factor loadings between subsamples. Thus, cross-national application of the PANAS might only be justified if measurement equivalence was explicitly tested for the countries at hand.

Structural Relationship between Depression and Depression Related Variables of Mid-Aged Women Based on Meta-Analytic Structural Equation Modeling

Structural Relationship between Depression and Depression Related Variables of Mid-Aged Women Based on Meta-Analytic Structural Equation Modeling

A tutorial on the meta-analytic structural equation modeling of reliability coefficients.

Reporting the reliability of the scores obtained from a scale or test is part of the standard repertoire of empirical studies in psychology. With reliability being a key concept in psychometrics, researchers have become more and more interested in evaluating reliability coefficients across studies and, ultimately, quantify and explain possible between-study variation. This approach-commonly known as "reliability generalization"-can be specified within the framework of meta-analysis. The existing procedures of reliability generalization, however, have several methodological issues: (a) unrealistic and often untested assumptions on the measurement model underlying the reliability coefficients (e.g., essential τ-equivalence for Cronbach's α); (b) the use of univariate approaches to synthesizing reliabilities of total and subscale scores; (c) the lack of comparability across different types of reliability coefficients. However, these issues can be addressed directly through meta-analytic structural equation modeling (MASEM)-a method that combines meta-analysis with structural equation modeling through synthesizing either correlation matrices or model parameters across studies. The primary objective of this article is to present the potential MASEM has for the meta-analysis of reliability coefficients. We review the extant body of literature on the use of reliability generalization, discuss and illustrate two MASEM approaches (i.e., correlation-based and parameter-based MASEM), and propose some practical guidelines. Future directions for utilizing MASEM for reliability generalization are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

A meta-analytic model on the role of organizational support in work-family conflict and employee satisfaction

Purpose This study aims to illustrate how organizational support can reduce work-family conflict (WFC) and improve job/life satisfaction by synthesizing the empirical findings among hospitality employees. Design/methodology/approach Previous empirical papers were searched through tourism and hospitality journals and 54 studies were ultimately selected. The correlation coefficients were coded and examined through meta-analysis, after which they were used to test the hypothesized model via meta-analytic structural equation modeling. Findings Findings demonstrated that organizational support plays a critical role in helping employees release WFC and improve life satisfaction but not job satisfaction. The number of children is a salient factor at the individual level on predicting WFC, whereas gender relates only to life satisfaction. The asymmetric permeable roles of WFC dimensions among work, family and life domains were also shown. Practical implications The findings can help hospitality managers be aware of the critical roles of organizational support in assisting employees to handle WFC and improve job and life satisfaction. Originality/value The relationships among organizational support, WFC and job/life satisfaction of frontline employees have been examined for the first time via meta-analytic SEM. In this manner, previous consistent and inconsistent findings can be synthesized for future theoretical development.

Conflict and performance in channels: a meta-analysis.

Conflict between channel members is of great interest to marketers given its presumed negative impact on the channel’s business performance. In a comprehensive meta-analysis of the empirical literature spanning six decades between 1960 and 2020, we observe channel performance is indeed negatively linked to channel conflict. However, we find that this conflict–performance link has evolved significantly over time, roughly in keeping with the growth and maturing of e-commerce technologies. Further, the damage caused by conflict appears to be more pronounced for channels with international operations, and for channels with greater dependency between channel members. Additionally, businesses in North America seem to suffer the consequences of channel conflict more than others. Our results also show several study characteristics related to measurement and sampling significantly impact the empirical conflict–performance links reported in the literature. We base our conclusions on correlational analyses, two-stage meta-analytic structural equation modeling (TSSEM), and meta-analytic regression analyses (MARA).Supplementary InformationThe online version of this article (10.1007/s11747-020-00751-1) contains supplementary material, which is available to authorized users.

The effects of consumer attitude on green purchase intention: A meta-analytic path analysis

Increasing interests in the development of green purchase intentions have elevated the importance of theories that explain the relationships between attitudes and intentions. The aim of the present research is to meta-analytically integrate the model of green purchase behavior (GPB) and the theory of planned behavior (TPB). We synthesized the research findings of 90 studies (94 samples, n = 38622) and employed meta-analytic structural equation modeling to investigate the empirical fit of the integrated TPB-GPB framework. The findings demonstrated support for the integrated framework and showed mediation role of consumer attitude in the development of green purchase intent. Moreover, the results suggested that the integrated framework assisted the TPB model to enjoy huge fertility by integrating the constructs and/or combining with the GPB model to develop the explanatory power and predictive lenses of green consumer attitudes and green purchase intention.

Simple View of Reading in Chinese: A One-Stage Meta-Analytic Structural Equation Modeling

With a one-stage meta-analytic structural equation modeling (MASEM) analysis based on 49,416 individuals from 267 independent samples and 210 studies, the current study systematically investigated models including meta-linguistic skills, decoding, language comprehension, and reading comprehension for Chinese population. Findings showed that (1) decoding and language comprehension were moderately related and together explained 52.7% variance of reading comprehension; (2) meta-linguistic skills made significant direct and unique contributions to decoding and showed a strong relation with language comprehension; however, meta-linguistic skills did not make direct contributions to reading comprehension beyond decoding and language comprehension; (3) location (Mainland vs. Hong Kong) did not emerge as a significant moderator in the model; (4) grade level significantly explained the between-study heterogeneity on the relation between decoding and reading comprehension, such that decoding made more contributions to reading comprehension before Grade 2 than after; and (5) the effects of language comprehension on reading comprehension stayed stable with grade, and so did meta-linguistic skills on decoding. These findings, taken together, suggest that the Simple View of Reading can be applied to reading in nonalphabetic languages such as Chinese. For Chinese reading development, Grade 2 may be the transitional grade where the effects of decoding on reading comprehension started to decrease significantly. The null direct effects of meta-linguistics skills on reading comprehension further support the parsimonious structure of Simple View of Reading (decoding and language comprehension) in explaining reading comprehension in Chinese.

An extended theory of planned behavior for parent-for-child health behaviors: A meta-analysis.

To conduct a meta-analysis of studies examining the determinants of behaviors performed by parents to promote the health of their child, termed "parent-for-child health behaviors," based on an extended theory of planned behavior. Specifically, the study aimed to meta-analyze correlations among theory of planned behavior constructs, planning, and past behavior, and use them to test theory predictions and effects of salient moderators. A systematic search identified 46 studies that provided correlations between at least one theory construct and intention or behavior for parent-for-child behaviors. Theory predictions were tested using meta-analytic structural equation modeling. Studies were also coded for candidate moderators of model effects: child age, sample type, time lag between measures of theory constructs and parent-for-child health behavior, study quality, and behavior type, and the proposed model was estimated at each level of the moderator. Results supported theory predictions with attitudes, subjective norms, and perceived behavioral control predicting parent-for-child health behavior participation mediated by intention. Perceived behavioral control and planning also directly predicted behavior, and planning partially mediated effects of intention on behavior. Model effects held when controlling for past behavior, supporting the sufficiency of the theory in this behavioral domain. Few moderator effects were found on relations between theory constructs. Findings identified the social cognition determinants of parent-for-child health behaviors, and highlight the potential processes by which they relate to behavior. The current model signposts potentially modifiable targets for behavioral interventions aimed at fostering parental participation in behaviors that promote the health of their children. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Dumb money or smart money? Meta‐analytically unpacking corporate venture capital

AbstractResearch SummaryAs an important strategic tool for entrepreneurial ventures and for established corporations alike, corporate venture capital (CVC) has attracted significant research attention. However, extant studies are equivocal about CVC's performance impact, and measurement approaches vary widely. Separating CVC performance into its corporate and venture elements, we conducted a meta‐analytic structural equation model (MASEM) analysis to quantitatively synthesize 151 effect sizes from 68 studies. While results indicate that CVC does create value for both investing corporation and invested venture, they also hint at different magnitudes for, and nuanced interrelationships between, the various performance aspects. We highlight implications for CVC scholarship in terms of measurement and theory.Managerial SummaryWhat is the bottom line impact of corporate venture capital (CVC)? While CVC is attractive to both startups and corporations, potential benefits are different for each participant—for example, capital and industry contacts for the startup, learning and financial returns for the corporation. The multiple and potentially competing benefits complicate the assessment of CVC's performance impact. Our quantitative summary of 68 empirical studies shows that CVC creates value for startups and corporations alike, but in varying magnitude, suggesting that the benefits are not equally shared between partners and across performance aspects. The nuanced distribution and interrelationship among CVC outcomes have practical implications for startup leaders and corporate investors as they enter into and manage CVC investments.

Investigating the Unique Predictors of Word-Problem Solving Using Meta-Analytic Structural Equation Modeling

The purpose of the present study is to clarify the contributions of cognitive skills (nonverbal reasoning, language comprehension, working memory, attention, processing speed) and academic skills (mathematics facts retrieval, mathematics computation, mathematics vocabulary, reading comprehension) in performing mathematics word problems among elementary school students. With the two-stage meta-analytic structural equation modeling approach, I synthesized 112 correlation matrices from 98 empirical studies (N = 111,346) and fitted the hypothesized partial mediation model. Overall, path analysis indicated that language comprehension, working memory, attention, mathematics vocabulary, and mathematics computation were unique predictors of word-problem solving. Subgroup analysis demonstrated different unique predictors for younger and older students to perform word problems (K-2nd grades versus 3rd–5th grades). Implications, limitations, and future directions are discussed.

Relationships on the rocks: A meta-analysis of romantic partner effects on alcohol use.

The partner influence hypothesis postulates one partner's alcohol use influences the other partner's alcohol use over time. Although several studies have examined the partner influence hypothesis, the magnitude and gender-specific nature of partner influences on alcohol use are unclear and have yet to be examined meta-analytically. We addressed this by conducting a traditional bivariate meta-analysis and two-stage meta-analytic structural equation modeling across 17 studies (N = 10,553 couples). Studies that assessed both romantic partners' alcohol use at a minimum of two time-points were selected. Results suggest romantic partners do influence one another's drinking, to a small but meaningful degree, with women (β = .19) exerting a statistically stronger (p < .05) influence than men (β = .12). Results also suggest time lag between assessment, alcohol indicator, married, and year of publication may moderate partner influence. Thus, social influences on individual alcohol use include important partner influences. These influences can serve either risk or protective functions. Given the economic, social, and health consequences associated with alcohol misuse, advancing knowledge of social risk factors for alcohol misuse is essential. Therefore, assessment and treatment of alcohol misuse should extend beyond the person to the social context. We encourage clinicians to consider involving romantic partners when assessing and treating alcohol misuse. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The applicability of social cognitive career theory in predicting life satisfaction of university students: A meta-analytic path analysis

Derived from the social cognitive career theory (SCCT), the present study developed a model for the empirical examination of factors affecting the life satisfaction of university students. A random-effects meta-analysis of zero-order correlations observed the results of 16 studies (20 samples, n = 7,967), and associations among the SCCT variables were examined by using a meta-analytic structural equation modeling (MASEM) according to a pooled correlation matrix. An alternative model was offered and then assessed. The findings showed a satisfactory fit of the new model as compared to the original SCCT. The results demonstrated support for the alternative model of SCCT in predicting life satisfaction. The present study suggested that researchers should embrace this alternative model when synthesizing SCCT factors. Limitations and avenues for future research were put forward for further consideration.

Dataset of parenting practices, self-control and anti-social behaviors: Meta-analytic structural equation modeling.

This dataset is used to clarify the nexus between effective parenting practices, low self-control, and anti-social behaviors in Gottfredson and Hirschi's General Theory of Crime (GTC). The analysis included 72 articles reporting 255 effect sizes (N = 94,604). We used the method of Meta-Analytic Structural Equation Modeling (MASEM) to test the assumptions of GTC. In this regard, we employed Two-Stage Meta-Analytic Structural Equation Modeling (TSSEM) and One Stage Meta-Analytic Structural Equation Modeling (OSMASEM) to perform MASEM and its moderators. The findings of the MASEM revealed that low self-control is a positive and in magnitude modest determinant of anti-social behaviors. The effective parenting practice is negative, of small size, and also a statistically significant determinant of low self-control. We observed that effective parenting practice is statistically significant and, in magnitude, shows small size negative direct and indirect effects on anti-social behaviors. That is, low self-control partially mediated the relationship between effective parenting practices and anti-social behaviors. Consistent with the construct of aggregated effective parenting practices, we found uniform patterns for models performed across the elements of effective parenting practices (i.e., emotionally supportive practices, monitoring, recognition, and effective discipline) with low self-control and anti-social behaviors. The findings of moderator analyses showed that the association between low self-control and anti-social behaviors tended to be stronger when the individualistic score of countries improved.

Meta-analytic structural equation modeling with moderating effects on SEM parameters.

Meta-analytic structural equation modeling (MASEM) is an increasingly popular meta-analytic technique that combines the strengths of meta-analysis and structural equation modeling. MASEM facilitates the evaluation of complete theoretical models (e.g., path models or factor analytic models), accounts for sampling covariance between effect sizes, and provides measures of overall fit of the hypothesized model on meta-analytic data. We propose a novel MASEM method, one-stage MASEM, which is better suitable to explain study-level heterogeneity than existing methods. One-stage MASEM allows researchers to incorporate continuous or categorical moderators into the MASEM, in which any parameter in the structural equation model (e.g., path coefficients and factor loadings) can be modeled by the moderator variable, while the method does not require complete data for the primary studies included in the meta-analysis. We illustrate the new method on two real data sets, evaluate its empirical performance via a computer simulation study, and provide user-friendly R-functions and annotated syntax to assist researchers in applying one-stage MASEM. We close the article by presenting several future research directions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Self-determination theory interventions for health behavior change: Meta-analysis and meta-analytic structural equation modeling of randomized controlled trials.

We conducted a meta-analysis of randomized controlled trials (RCTs) to promote health behavior change based on self-determination theory (SDT). The review aimed to (a) quantify the impact of SDT interventions on health behaviors, (b) test mediation by theoretically specified variables (autonomous motivation and perceived competence), and (c) identify moderators of intervention effectiveness. Computerized searches and additional strategies identified 56 articles that yielded 65 independent tests of SDT interventions. Random effects meta-analysis and metaregressions were conducted via STATA; meta-analytic structural equation modeling (MASEM) was used to test mediation. The sample-weighted average effect size for SDT interventions was d+ = .23, and there were significant effects for physical activity, sedentary behavior, diet, alcohol consumption, and smoking cessation (.16 ≥ d+ ≥ .29). Effect sizes exhibited both publication bias and small sample bias but remained significantly different from zero, albeit of smaller magnitude, after correction for bias (d+ ≥ .15). MASEM indicated that autonomous motivation and perceived competence mediated intervention effects on behavior. Metaregression analyses indicated that features of the sample, intervention, or methodology generally did not moderate effect sizes. The present review indicates that SDT interventions have a significant but small effect on health behavior change and suggests several directions for future research. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

What Drives Employees’ Trust at Work? A Meta Analysis of Antecedents Across Referents and Culture

The present meta-analysis was set out to replicate, extend, and integrate existing theoretical frameworks on the antecedents of individual trust at work. Cumulating evidence from 536 independent samples, this meta-analysis examines whether trust is influenced by trustee trustworthiness (i.e., ability, benevolence, and integrity), trustor’s trust propensity, trustor-trustee interactions (i.e., leadership, shared characteristics, and communication), and situational characteristics and processes (i.e., human resource management [HRM] practices and work design characteristics). Results showed that all meta-analytic effects were positive. We observed large effects for ability, benevolence, integrity, and leadership; medium-to-large effects for communication, HRM practices, and work design; a medium effect for trust propensity; and a small effect for shared characteristics. All antecedents made meaningful and unique contributions to explain the variance in trust. Meta-analytic structural equation models showed that antecedents that reflect dyadic interactions and situational characteristics influenced trust indirectly through benevolence and integrity. Finally, trust referents and cultural dimensions were examined as possible moderators on the effects of ability, benevolence, and integrity. Our findings contribute to a better understanding of the roles of various antecedents in building individual trust at work. Theoretical and practical implications of these findings and future directions are discussed.

Work-Family Enrichment and Conflict: A Comparison of the Diversified and Unified Approaches

Research on the work-family interface has extensively examined employees’ work-family enrichment (including both work-to-family enrichment (WFE) and family-to-work enrichment (FWE)) and work-family conflict (including work-to-family conflict (WFC) and family-to-work conflict (FWC)). The predominant approach is to adopt a diversified perspective that makes a distinction between work-to-family and family-to-work influences and between enrichment and conflict experiences. An overlooked alternative is to adopt a unified perspective that considers higher-order latent constructs signifying groups of variables with convergent theoretical content. Such aggregate constructs represent the broader cognitive categories that individuals use to conceptualize their career experiences. There are three ways in which the unified perspective can be applied to work-family interface research: (a) in examining the overall work-to-family (WFE and WFC) versus family-to-work experience (FWE and FWC), (b) in examining the overall enrichment (WFE and FWE) versus conflict experience (WFC and FWC), and (c) in examining the overall work-family experience (WFE, FWE, WFC, and FWC) as an aggregate. This study evaluates the relationships among social support, work-family variables, and well-being using both the diversified and unified approaches. Meta-analytical structural equation modeling shows the diversified approach to outperform the unified approach, suggesting that future studies should focus on capturing employees’ specific work-family experiences.

Reconsidering the RBANS Factor Structure: a Systematic Literature Review and Meta-Analytic Factor Analysis.

The primary aim was toperform a systematic literature review and extract data necessary for a meta-analytic factor analysis of the RBANS. Secondary aims were to examine the potential validity and utility of the resulting factor structure. Literature was identified through a review of PsycINFO, PubMed, MEDLINE, Academic Search Complete, Psychology & Behavioral Sciences Collection, CINAHL Complete, Health Source: Nursing/Academic Edition, and SocINDEX. A two-stage meta-analytic structural equation modeling method was implemented to pool correlation matrices from primary studies and perform confirmatory factor analyses. Following model selection, factor scores were computed for two datasets and subjected to correlation and diagnostic accuracy analyses. A pooled correlation matrix was computed from 24 sample correlation matrices (N = 5299). Confirmatory factor analysis revealed that the theoretical five-factor model produced the best fit but only when error terms between Story Memory and Story Recall as well as between Figure Copy and Figure Recall were included. Regression-based factor scores showed mixed relationships with the manual-defined indices, and the overall diagnostic accuracy of the factor scores was adequate in both samples examined (AUC = 0.71 and 0.87). The five-factor model was an unexpected result given the failure of multiple previous studies to find support for that model. The five-factor model demonstrates several areas of potential improvement, including better representation of the factors by the indicators. The factor scores implied by this model also require further validation.

Rather complements than substitutes: Firm value effects of capital structure and financial hedging decisions

AbstractThe aim of this study is to analyze the interaction between capital structure decisions and risk management decisions as well as the channels through which they add value to firms. Competing theories are considered in an integrated path model, which we test by means of meta‐analytic structural equation modelling (MASEM). This meta‐analysis is based on 6,312 reported results, which are manually collected from 411 empirical studies. We find that capital structure mediates the relation between corporate financial hedging and firm value. In this regard, active risk management positively affects leverage by providing greater debt capacities. Furthermore, leverage has a negative impact on firm value. Hence, capital structure and financial hedging decisions appear rather as complements instead of substitutes. This implies that managers should leave additional debt capacities unused and instead use additional internal funds arising from active risk management to carry out profitable projects and research and development activities. Overall, corporate hedging is found to especially add value to a firm by lowering bankruptcy risks and underinvestment risks.

Effects of socio-structural variables in the theory of planned behavior: a mediation model in multiple samples and behaviors

Objective: Observed variation in health behavior may be attributable to socio-structural variables that represent inequality. We tested the hypothesis that variability related to socio-structural variables may be linked to variation in social cognition determinants of health behavior. A proposed model in which effects of socio-structural variables (age, education level, gender, income) on health behavior participation was mediated by social cognition constructs was tested. Design: Model effects were tested in correlational datasets (k = 13) in different health behaviors, populations, and contexts. Samples included self-report measures of age, highest attained education level, gender, and net household income, and constructs from the theory of planned behavior (attitude, subjective norms, perceived behavioral control, intention). Ten samples provided follow-up self-reports of health behavior. Results: Path analyses supported sample-specific indirect effects of gender and age on health behavior with comparatively few income and education level effects. Meta-analytic structural equation modeling indicated consistent indirect and total effects of gender on intentions and health behavior through social cognition constructs, and a total effect of education level on behavior. Conclusion: Results provide support for the proposed mechanism by which socio-structural variables relate to health behavior. Replication in larger samples and meta-analytic synthesis across multiple health behavior studies is warranted.