Meta-analytic Structural Equation Modeling Research Articles

Fifteen Years of Research on Customer Loyalty Formation: A Meta-Analytic Structural Equation Model

Despite extensive research on loyalty formation, findings regarding interrelationships between loyalty and its key drivers, such as perceived service quality, perceived value, and customer satisfaction, are inconclusive and often contradictory. To provide more definitive statements about these relationships, we synthesized and analyzed findings from 153 articles published in eight top-tier tourism and hospitality journals between 2006 and 2020 using meta-analytic structural equation modeling. We also confirmed that five- and seven-point Likert-type scales did not generate significant differences in the effect size of correlational measures. A further comparison of four theoretically postulated competing models strongly supports the full mediation model. Our results suggest that customer satisfaction fully mediates the effects of perceived service quality and perceived value on customer loyalty, whereas perceived service quality directly influences perceived value. This study contributes to the literature by reconciling and synthesizing inconclusive findings from prior research.

Assessing Heterogeneity of Correlation Matrices in Misspecified Meta-Analytic Structural Equation Models

Meta-analytic structural equation modeling (MASEM) techniques are increasingly common tools to synthesize data across multiple studies. One popular approach is two-step MASEM, where study correlation matrices are pooled in a first stage using either a fixed- or random-effects model, to then fit one or multiple structural equation models onto the pooled correlation matrix in a second stage. In a simulation study, we examined the performance of different fit criteria and resulting parameter estimates under both random- and fixed-effects pooling when fitting a three-factor CFA model to study populations that were partly misspecified. We discuss benefits and issues when using a random-effects model in this scenario and discuss future research directions regarding correlation matrix heterogeneity when using MASEM methods.

Checking the inventory: Illustrating different methods for individual participant data meta-analytic structural equation modeling.

Researchers may have at their disposal the raw data of the studies they wish to meta-analyze. The goal of this study is to identify, illustrate, and compare a range of possible analysis options for researchers to whom raw data are available, wanting to fit a structural equation model (SEM) to these data. This study illustrates techniques that directly analyze the raw data, such as multilevel and multigroup SEM, and techniques based on summary statistics, such as correlation-based meta-analytical structural equation modeling (MASEM), discussing differences in procedures, capabilities, and outcomes. This is done by analyzing a previously published collection of datasets using open source software. A path model reflecting the theory of planned behavior is fitted to these datasets using different techniques involving SEM. Apart from differences in handling of missing data, the ability to include study-level moderators, and conceptualization of heterogeneity, results show differences in parameter estimates and standard errors across methods. Further research is needed to properly formulate guidelines for applied researchers looking to conduct individual participant data MASEM.

Customer mistreatment and employees’ coping strategies: A Meta-SEM analysis

Despite the numerous studies on customer mistreatment, our understanding of the effectiveness of coping strategies for customer mistreatment remains limited. This research provides a meta-analytic structural equation modeling (meta-SEM) analysis to explore the distinctive coping types that employees may use when encountering customer mistreatment, as well as the subsequent outcomes. Drawing on the regulatory focus theory and the coping toward customer mistreatment, we categorize various coping strategies into three types (i.e., goal-oriented promotive coping, confrontation-oriented promotive coping, and preventive coping), and propose that these coping types have differential relationships with outcomes. Through a meta-SEM analysis based on 143 articles and 155 independent samples (N = 44,378), we found that these three coping types significantly mediated the mistreatment–outcomes relationships, and that goal-oriented promotive coping was a more beneficial type of coping. This research provides significant implications for employees and organizations to effectively cope with customer mistreatment.

How can we further explore the link between self-criticism and self-compassion, and disordered eating? Commentary on Paranjothy and Wade's (2024).

Paranjothy and Wade's (2024, A meta-analysis of disordered eating and its association with self-criticism and self-compassion. International Journal of Eating Disorders. https://doi.org/10.1002/eat.24166) systematic review and meta-analysis of disordered eating and its association with self-criticism and self-compassion provides a valuable synthesis of 135 studies. They found that greater levels of self-criticism and increased disordered eating were associated with lower levels of self-compassion. These findings highlight the importance of further investigating the complex relationship between these variables to inform effective interventions. This commentary explores what the findings of Paranjothy and Wade (2024) tell us and how we can use their findings to address unresolved problems. I will focus on two primary areas in this commentary: (1) the specificity of self-criticism and (2) how we could use existing data to enhance the understanding of the etiology and maintenance of disordered eating in relation to self-criticism and self-compassion to conduct further research. This commentary argues that there is a need for refinement of the self-criticism construct (e.g., through qualitative research) to understand how self-criticism varies across different individuals and cultures, particularly for under-researched populations. I recommend further research using meta-analytic structural equation modeling to test different theoretical models to pin down how self-criticism and self-compassion function as mechanisms of change in disordered eating.

Addressing Endogeneity in Meta-Analysis: Instrumental Variable Based Meta-Analytic Structural Equation Modeling

In management research, meta-analysis is often used to aggregate findings from observational studies that lack random assignment to predictors (e.g., surveys), which may pose challenges in making accurate inferences due to the correlational nature of effect sizes. To improve inferential accuracy, we show how instrumental variable (IV) methods can be integrated into meta-analysis to help researchers obtain unbiased estimates. Our IV-based meta-analytic structural equation modeling (IV-MASEM) method relies on the fact that IVs can be incorporated into SEM, and meta-analytic effect sizes from correlational research can be used for MASEM. Conveniently, IV-MASEM does not require that each primary study measures all relevant variables, and it can address typical types of endogeneity, such as omitted variable bias. We clarify how the principles of IV-SEM can be applied to MASEM and then conduct three simulations to study the validity of IV-MASEM versus Univariate Meta-Analyses (UMA) and MASEMs that exclude IVs when the instruments were appropriate, inappropriate, and missing from a subset of primary studies. We also offer an illustrative study to demonstrate how to apply IV-MASEM to address endogeneity concerns in meta-analysis, which includes a new R function to test the qualifying conditions for IVs. We conclude with limitations and future directions for IV-MASEM.

Disentangling autonomy-supportive and psychologically controlling parenting: A meta-analysis of self-determination theory's dual process model across cultures.

Self-determination theory's (SDT) dual process model claims that parental autonomy support relates positively to child well-being, while psychologically controlling parenting is linked positively to child ill-being. We tested these claims using a combination of one-stage and univariate meta-analytic structural equation modeling with moderation (k = 238; n = 1,040, N = 126,423). In the univariate models, parental autonomy support was linked positively with child well-being, r = 0.30, 95% CI [0.26, 0.33], whereas parental psychological control was positively linked with child ill-being, r = 0.26, 95% CI [0.23, 0.28]. Consistent with SDT's dual process model, the one-stage model that controlled for the intercorrelations between predictors showed that parental autonomy support and psychological control had distinct links to child wellness outcomes. Parental autonomy support was linked positively with child well-being, even when accounting for psychological control, r = 0.26, 95% CI [0.20, 0.31], and parental psychological control was positively linked to child ill-being, controlling for autonomy support, r = 0.20, 95% CI [0.17, 0.23]. Crucially, the beneficial effects of parental autonomy support and the costs of psychological control applied across regions, degrees of national individualism and cultural hierarchy, as well as child developmental periods and sexes. These results help move the field beyond debates about whether autonomy is beneficial toward questions about manifestations of autonomy across groups and variations in its optimal support. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A Review of Meta-Analyses of Correlation Coefficients on L2 Reading Comprehension

Quantitative meta-analyses have gained popularity among L2 reading researchers in recent years. Meta-analyses, especially meta-analyses that investigate the relationships among variables (e.g., meta-analyses of correlation coefficients, meta-analytic structural equation modeling), are well-suited for L2 reading research due to their componential nature. The present study reviews 14 meta-analyses on L2 reading comprehension published between 2010 and 2023, with a focus on their key study features and findings. While all of the 14 meta-analyses examined the relationship between one or more reading-related variables and L2 reading comprehension and yielded substantial convergence in their findings, their research focus and scope also varied widely, leading to some level of diversity in their scope of literature search, methods of analysis, and findings. We review our findings on the convergence and divergence of the study features across the 14 meta-analyses, summarize their key findings, and provide suggestions for future research.

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.

The indirect relationship between employee job performance and voluntary turnover: A meta-analysis

Employee turnover brings lots of negative effects on organizations. Researchers have investigated why employees quit their jobs and found job performance to be an important predictor. Previous studies have proposed potential mediators of the performance-turnover relationship from job attitudes, job alternatives, and job embeddedness perspectives. Nevertheless, they have failed to provide sufficient empirical support for these three paths and which of these three mediating mechanisms matters most. To address these questions, we used meta-analytic structural equation modeling (MASEM) to examine these three mediating mechanisms between job performance and voluntary turnover. Drawing on 299 independent samples (N = 524,740), we found that job performance had a negative impact on employee voluntary turnover through desirability of movement and turnover intention, through job embeddedness and turnover intention, and a positive impact through ease of movement and turnover intention. Among these three paths, desirability of movement had the strongest mediating effect, followed by job embeddedness and ease of movement. Theoretical and practical implications as well as future directions were discussed.

The Relation Between Perceived Mental Effort, Monitoring Judgments, and Learning Outcomes: A Meta-Analysis

Accurately monitoring one’s learning processes during self-regulated learning depends on using the right cues, one of which could be perceived mental effort. A meta-analysis by Baars et al. (2020) found a negative association between mental effort and monitoring judgments (r = -.35), suggesting that the amount of mental effort experienced during a learning task is usually negatively correlated with learners’ perception of learning. However, it is unclear how monitoring judgments and perceptions of mental effort relate to learning outcomes. To examine if perceived mental effort is a diagnostic cue for learning outcomes, and whether monitoring judgments mediate this relationship, we employed a meta-analytic structural equation model. Results indicated a negative, moderate association between perceived mental effort and monitoring judgments (β = -.19), a positive, large association between monitoring judgments and learning outcomes (β = .29), and a negative, moderate indirect association between perceived mental effort and learning outcomes (β = -.05), which was mediated by monitoring judgments. Our subgroup analysis did not reveal any significant differences across moderators potentially due to the limited number of studies included per moderator category. Findings suggest that when learners perceive higher levels of mental effort, they exhibit lower learning (confidence) judgments, which relates to lower actual learning outcomes. Thus, learners seem to use perceived mental effort as a cue to judge their learning while perceived mental effort only indirectly relates to actual learning outcomes.

Seeing the forest and the trees: a meta-analysis of the antecedents to online self-disclosure

PurposeA wealth of studies have identified numerous antecedents to online self-disclosure. However, the number of competing theoretical perspectives and inconsistent findings have hampered efforts to obtain a clear understanding of what truly influences online self-disclosure. To address this gap, this study draws on the antecedent-privacy concern-outcome (APCO) framework in a one-stage meta-analytical structural equation modeling (one-stage MASEM) study to test a nomological online self-disclosure model that assesses the factors affecting online self-disclosure.Design/methodology/approachUsing the one-stage MASEM technique, this study conducts a meta-analysis of online self-disclosure literature that comprises 130 independent samples extracted from 110 articles reported by 53,024 individuals.FindingsThe results reveal that trust, privacy concern, privacy risk and privacy benefit are the important antecedents of online self-disclosure. Privacy concern can be influenced by general privacy concern, privacy experience and privacy control. Furthermore, moderator analysis indicates that technology type has moderating effects on the links between online self-disclosure and some of its drivers.Originality/valueFirst, with the guidance of the APCO framework, this study provides a comprehensive framework that connects the most relevant antecedents underlying online self-disclosure using one-stage MASEM. Second, this study identifies the contextual factors that influence the effectiveness of the antecedents of online self-disclosure.

A meta-analytic examination of sensitive responsiveness as a mediator between depression in mothers and psychopathology in children

ABSTRACT The current meta-analysis examined the mediating role of sensitive-responsive parenting in the relationship between depression in mothers and internalizing and externalizing behavior in children. A systematic review of the path of maternal sensitive responsiveness to child psychopathology identified eligible studies. Meta-analytic structural equation modelling (MASEM) allowed for the systematic examination of the magnitude of the indirect effect across 68 studies (N = 15,579) for internalizing and 92 studies (N = 26,218) for externalizing psychopathology. The synthesized sample included predominantly White, English-speaking children (age range = 1 to 205 months; M age = 66 months; 47% female) from Western, industrialized countries. The indirect pathway was small in magnitude and similar for externalizing (b = .02) and internalizing psychopathology (b = .01). Moderator analyses found that the indirect pathway for externalizing problems was stronger when mother-child interactions were observed during naturalistic and free-play tasks rather than structured tasks. Other tested moderators were not significant.

Complements or substitutes? A Meta-analysis of the role of social capital for individual knowledge transfer

PurposeThis study aims to investigate the effects of different dimensions of social capital on individual knowledge transfer to nurture the organization’s intellectual capital, as well as the interactions among these dimensions and explore the potential moderators.Design/methodology/approachThis study conducted a meta-analysis with 108 independent empirical studies to examine the different dimensions of social capital–knowledge transfer relationships and the effects of moderators and used meta-analytic structural equation modeling (MASEM) to test the internal relationships among social capital dimensions.FindingsThe results show that structural, relational and cognitive social capitals are all positively related to knowledge transfer. In addition, different dimensions of social capital act as complements to one another. Further examinations reveal that the level of economic development has no significant moderating effect on the relationship between social capital and knowledge transfer. Then, the cultural context and profit climate characteristics moderate the relationship between social capital and knowledge transfer.Originality/valueLeveraging the trilogy of signaling, learning and spillover effects, this meta-analytic study quantitatively integrates the relationships between different dimensions of social capital and knowledge transfer. It reconciles the present disparate findings, demonstrates the validity of different dimensional social capital interactions and obtains highly generalized conclusions. This study also introduces a dichotomy, saturation versus reinforcement, to explain the mixed results, which enriches social capital theory.

Trust, Risk, Privacy and Security in e-Government Use: Insights from a MASEM Analysis

AbstractDespite considerable research on the factors influencing the use of e-government, citizens are apprehensive of e-government services due to the concerns primarily related to trust, risk, security and privacy. This study presents a meta-analytic structural equation modeling (MASEM) analysis of the findings reported by 68 prior empirical studies on e-government adoption. Specifically, the model examined the direct effects of trust in government, trust in internet, perceived risk, and perceived privacy and security on e-government trust, and its impact on users’ behavioral intention to use e-government. The findings bear significant theoretical and practical implications.

Does Beauty Matter to Service Consumers? The Influence of Visual Appeal on Self-Service Technology (SST) Acceptance

The visual appeal of self-service interfaces is known to influence consumers’ subsequent evaluations of the system’s other features and enjoyment; however, the impact of visual appeal on subsequent judgments of system and information quality and hedonic motivation, and consequently on shaping behavioral intentions to use a particular self-service, has not been specifically studied. Therefore, this study examines the impact of visual appeal on the acceptance of self-service technologies using meta-analytic structural equation modeling with 63 independent samples (26,144 cumulative respondents) drawn from 58 empirical studies. As a result, visual appeal demonstrates strong correlations with system quality, information quality, and hedonic motivation and appears to indirectly influence perceived ease of use, perceived usefulness, and behavioral intention to use new SST. The findings shed light on the primacy effect of visual appeal on consumers’ acceptance of SSTs and the substantive effect of visual appeal in shaping perceptions of system and information quality.

Meta-analytic structural equation modeling for exploring workplace friendship, well-being, and organizational commitment

BACKGROUND: Workplace friendships, which are informal relationships in the workplace, foster mutual trust, assistance, and emotional support and create a sense of belonging among coworkers. Employees with positive perceptions of their job responsibilities, psychological needs, and work environment experience happiness, satisfaction, and an overall sense of well-being. A heightened sense of well-being in the workplace positively affects employee satisfaction with job tasks and the work environment, reinforcing employees’ sense of belonging and organizational commitment. OBJECTIVE: The study proposed and validated a theoretical model, with meta-analytic structural equation modeling employed to conduct quantitative, empirical research on workplace friendships, well-being, and organizational commitment in Taiwan and to analyze correlations between relevant variables. METHODS: The theoretical model was further validated through structural equation modeling, which yielded favorable goodness of fit in terms of various indicators. RESULTS: The mediating effect of well-being was verified through bootstrapping analysis. Within a 95% confidence interval, the total effect size of workplace friendships on organizational commitment was 0.549, which is the sum of its direct effect (0.255) and indirect effect (0.294). CONCLUSIONS: This finding indicates that well-being plays a mediating role in the association between workplace friendships and organizational commitment. The proposed theoretical model in this study is supported. Finally, the research results are discussed, and practical suggestions are provided.

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.

Detecting causal relationships between work motivation and job performance: a meta-analytic review of cross-lagged studies

Given that competing hypotheses about the causal relationship between work motivation and job performance exist, the current research utilized meta-analytic structural equation modeling (MASEM) methodology to detect the causal relationships between work motivation and job performance. In particular, completing hypotheses were checked by applying longitudinal data that include 84 correlations (n = 4389) from 11 independent studies measuring both work motivation and job performance over two waves. We find that the effect of motivation (T1) on performance (T2), with performance (T1) controlled, was positive and significant (β = 0.143). However, the effect of performance (T1) on motivation (T2), with motivation (T1) controlled, was not significant. These findings remain stable and robust across different measures of job performance (task performance versus organizational citizenship behavior), different measures of work motivation (engagement versus other motivations), and different time lags (1–6 months versus 7–12 months), suggesting that work motivation is more likely to cause job performance than vice versa. Practical and theoretical contributions are discussed.

A meta-analysis of tourists’ destination visits and theory of planned behavior: the moderating roles of destination scale and cultural difference

ABSTRACT The literature has explored what motivates tourists to visit a place, but there has not been much work done to compile and synthesize the results of empirical investigations. This study meta-analytically reviews extant research in tourists’ destination visits and the theory of planned behavior (TPB) exploring the moderating roles of destination scale (large versus small) and cultural difference (Eastern versus Western). Using 99 individual samples (N = 46,307) with a series of meta-analytic structural equation modeling (MASEM), this study demonstrated that the predictive power of TPB for tourists’ destination visits varies given the differences in destination scale and culture. There is a discussion of the findings’ significance for researchers and practitioners in the tourism field.