Current Methods for Meta-Analysis

2007 ◽  
Vol 215 (2) ◽  
pp. 90-103 ◽  
Author(s):  
Ralf Schulze
Keyword(s):  
Fixed Effects ◽  
Structural Equation ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Equation Modeling ◽  
Random Effects Model ◽  
New Methods ◽  
New Findings ◽  
Multivariate Procedures ◽  
Research Questions

Abstract. The bulk of conceptual and statistical developments as well as applications of meta-analysis have been published in the last 30 years. The methods for meta-analysis continue to be refined and new methods are applied to new types of research questions and data. Such current approaches, issues, and developments prevalent in the behavioral sciences are presented, reviewed, and discussed in this paper. The areas that are covered include: the fixed effects and random effects model of meta-analysis, new findings concerning effect sizes and their statistical properties, the comparison of different meta-analytic approaches, and multivariate procedures for meta-analysis. The latter also covers the stepwise combination of meta-analysis and structural equation modeling (MASEM).

Dyadic Designs in Lifespan Developmental Methodology

2019 ◽  
Author(s):  
Jeremy B. Yorgason ◽  
Melanie S. Hill ◽  
Mallory Millett
Keyword(s):  
Repeated Measures ◽  
Structural Equation ◽  
Equation Modeling ◽  
Daily Diaries ◽  
Intensive Longitudinal Data ◽  
New Methods ◽  
Actor Partner Interdependence Model ◽  
Parents And Children ◽  
Research Questions ◽  
The Individual

The study of development across the lifespan has traditionally focused on the individual. However, dyadic designs within lifespan developmental methodology allow researchers to better understand individuals in a larger context that includes various familial relationships (husbands and wives, parents and children, and caregivers and patients). Dyadic designs involve data that are not independent, and thus outcome measures from dyad members need to be modeled as correlated. Typically, non-independent outcomes are appropriately modeled using multilevel or structural equation modeling approaches. Many dyadic researchers use the actor-partner interdependence model as a basic analysis framework, while new and exciting approaches are coming forth in the literature. Dyadic designs can be extended and applied in various ways, including with intensive longitudinal data (e.g., daily diaries), grid sequence analysis, repeated measures actor/partner interdependence models, and vector field diagrams. As researchers continue to use and expand upon dyadic designs, new methods for addressing dyadic research questions will be developed.

scholarly journals Synthesizing Indirect Effects in Mediation Models with Meta-Analytic Methods

2020 ◽  
Author(s):  
Mike W.-L. Cheung
Keyword(s):  
Indirect Effects ◽  
Structural Equation ◽  
Meta Analysis ◽  
Underlying Mechanism ◽  
Equation Modeling ◽  
Outcome Variable ◽  
Correlation Matrices ◽  
Independent Variable ◽  
Research Questions ◽  
Mediation Models

A mediator is a variable that explains the underlying mechanism between an independent variable and a dependent variable. The indirect effect indicates the effect from the predictor to the outcome variable via the mediator. In contrast, the direct effect represents the effect of the predictor on the outcome variable after controlling for the mediator. A single study rarely provides enough evidence to answer research questions in a particular domain. Replications are generally recommended as the gold standard to conduct scientific research. When a sufficient number of studies have been conducted addressing similar research questions, a meta-analysis can be used to synthesize the findings of those studies. The main objective of this paper is to introduce two approaches to integrating studies using mediation analysis. The first approach involves calculating standardized indirect effects and direct effects and conducting a multivariate meta-analysis on those effect sizes. The second approach uses meta-analytic structural equation modeling to synthesize correlation matrices and fit mediation models on the average correlation matrix. We illustrate these procedures on a real dataset using the R statistical platform. This paper closes with some further directions for future studies.ind

scholarly journals Some Reflections on Combining Meta-Analysis and Structural Equation Modeling

2018 ◽  
Author(s):  
Mike W.-L. Cheung
Keyword(s):  
Social Sciences ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Meta Analysis ◽  
Equation Modeling ◽  
Synthesis Methods ◽  
Software Packages ◽  
Research Questions ◽  
Personal Reflections ◽  
New Research

Meta-analysis and structural equation modeling (SEM) are two of the most prominent statistical techniques employed in the behavioral, medical, and social sciences. They each have their own well-established research communities, terminologies, statistical models, software packages, and journals (Research Synthesis Methods and Structural Equation Modeling: A Multidisciplinary Journal). In this paper, I will provide some personal reflections on combining meta-analysis and SEM in the forms of meta-analytic SEM (MASEM) and SEM-based meta-analysis. The critical contributions of Becker (1992), Shadish (1992), and Viswesvaran and Ones (1995) in the early development of MASEM are highlighted. Another goal of the paper is to illustrate how meta-analysis can be extended and integrated with other techniques to address new research questions such as the analysis of Big Data. I hope that this paper may stimulate more research development in the area of combining meta-analysis and SEM.

scholarly journals The future is present in the past: A meta-analysis on the longitudinal associations of parent-adolescent relationships with peer and romantic relationships

2021 ◽  
Author(s):  
Susanne Schulz ◽  
Stefanie Nelemans ◽  
Hana Hadiwijaya ◽  
Theo Klimstra ◽  
Elisabetta Crocetti ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Romantic Relationships ◽  
Peer Relationships ◽  
Structural Equation ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Equation Modeling ◽  
Adolescent Relationships ◽  
The Past ◽  
Longitudinal Associations

Positive peer and romantic relationships are crucial for adolescents’ positive adjustment and relationships with parents lay the foundation for these relationships. This longitudinal meta-analysis examined how supportive and negative parent-adolescent relationships continue into later peer and romantic relationships. Multilevel meta-regressions based on 81 longitudinal studies (559 effect sizes, including 49,769 participants) indicated that supportive and negative parent-adolescent relationships were associated with supportive and negative future peer and romantic relationships. Meta-analytic structural equation modeling based on 48 studies (48 effect sizes, including 14,969 participants) indicated that supportive parent-adolescent relationships unidirectionally predicted supportive and negative future peer relationships, while negative parent-adolescent relationships were bidirectionally associated with supportive and negative peer relationships. Our findings highlight the importance of relationships with parents beyond childhood.

Long-term Persuasive Effects in Narrative Communication Research: A Meta-Analysis

2020 ◽  
Vol 70 (4) ◽  
pp. 473-496
Author(s):  
Corinna Oschatz ◽  
Caroline Marker
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Equation Modeling ◽  
Communication Research ◽  
Delayed Measurement ◽  
Persuasive Power ◽  
Over Time

Abstract This meta-analysis builds on the broad and diverse research on the persuasive effects of narrative communication. Researchers have found that narratives are a particularly effective type of message that often has greater persuasive effects than non-narratives immediately after exposure. The present study meta-analyzes whether this greater persuasive power persists over time. Results are based on k1 = 14 studies with k2 = 51 effect sizes for immediate measurement (N = 2,834) and k2 = 66 effect sizes for delayed measurement (N = 2,459). They show that a single narrative message has a stronger persuasive impact than a non-narrative message on attitudes and intentions at immediate as well as on attitudes, intentions, and behaviors at delayed measurement. Both message types did not differently affect the participants’ beliefs. Meta-analytic structural equation modeling confirms transportation as a mediator of immediate persuasive effects.

Impulsivity and Aggression: A Meta-analysis Using the UPPS Model of Impulsivity

2019 ◽  
Author(s):  
Konrad Bresin
Keyword(s):  
Structural Equation Modeling ◽  
Sensation Seeking ◽  
Structural Equation ◽  
Meta Analysis ◽  
The Other ◽  
Equation Modeling ◽  
Negative Urgency ◽  
Two Stage ◽  
Trait Impulsivity

Trait impulsivity has long been proposed to play a role in aggression, but the results across studies have been mixed. One possible explanation for the mixed results is that impulsivity is a multifaceted construct and some, but not all, facets are related to aggression. The goal of the current meta-analysis was to determine the relation between the different facets of impulsivity (i.e., negative urgency, positive urgency, lack of premeditation, lack of perseverance, and sensation seeking) and aggression. The results from 93 papers with 105 unique samples (N = 36, 215) showed significant and small-to-medium correlations between each facet of impulsivity and aggression across several different forms of aggression, with more impulsivity being associated with more aggression. Moreover, negative urgency (r = .24, 95% [.18, .29]), positive urgency (r = .34, 95% [.19, .44]), and lack of premeditation (r = .23, 95% [.20, .26]) had significantly stronger associations with aggression than the other scales (rs < .18). Two-stage meta-analytic structural equation modeling showed that these effects were not due to overlap among facets of impulsivity. These results help advance the field of aggression research by clarifying the role of impulsivity and may be of interest to researchers and practitioners in several disciplines.

scholarly journals A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening

2021 ◽  
Vol 18 (5) ◽  
pp. 2580
Author(s):  
Guangchao Charles Feng ◽  
Zhiliang Lin ◽  
Wanhua Ou ◽  
Xianglin Su ◽  
Qing Yan
Keyword(s):  
Structural Equation ◽  
Meta Analysis ◽  
Health Belief ◽  
Screening Tests ◽  
Equation Modeling ◽  
Willingness To Participate ◽  
Early Screening ◽  
The Public ◽  
Screening Programs ◽  
Belief Model

Although early screening tests are beneficial for the detection and treatment of cancers, many people have failed to participate in screening tests. The present study aims to explore the theoretical underpinning of low participation in screening programs using the method of meta-analytic structural equation modeling. It was found that the health belief model is the most adopted theoretical framework. Moreover, the intended uptake of screening was positively predicted only by cues to action, health literacy, and perceived susceptibility. As a result, a health intention model, including the three significant variables, is proposed. The practical implications of the findings are that health communication campaigns should focus on enlightening and engaging the public through all necessary means to raise awareness and transfer knowledge in relation to screening procedures as well as cancers per se.

The Model of Goal-Directed Behavior in Tourism and Hospitality: A Meta-analytic Structural Equation Modeling Approach

2021 ◽  
pp. 004728752199124
Author(s):  
Weisheng Chiu ◽  
Heetae Cho
Keyword(s):  
Structural Equation Modeling ◽  
Cultural Differences ◽  
Structural Equation ◽  
Meta Analysis ◽  
Equation Modeling ◽  
Causal Relationships ◽  
Eastern Culture ◽  
Analytic Review ◽  
Tourism And Hospitality ◽  
Goal Directed Behavior

The model of goal-directed behavior (MGB) has been widely utilized to explore consumer behavior in the fields of tourism and hospitality. However, prior studies have demonstrated inconsistent findings with respect to the causal relationships of the MGB variables. To address this issue, we conducted a meta-analytic review based on studies that had previously applied MGB. Moreover, we compared the cultural differences that emerged within MGB. By reviewing and analyzing 37 studies with 39 samples ( N = 14,581), this study found that among the causal relationships within MGB, positive anticipated emotion was the most influential determinant in the formation of consumer desire. In addition, different patterns of causal relationships between Eastern culture and Western culture were identified within MGB. This article is the first meta-analysis to address the application of MGB in tourism and hospitality and, thus, contributes to the theoretical advancement of MGB.

Feedback-Seeking Behavior in Organizations: A Meta-Analysis and Systematical Review of Longitudinal Studies

2021 ◽  
Vol 24 ◽  
Author(s):  
Alexandra Bălăceanu ◽  
Delia Vîrgă ◽  
Laurentiu Maricuțoiu
Keyword(s):  
Systematic Review ◽  
Longitudinal Studies ◽  
Structural Equation ◽  
Longitudinal Design ◽  
Meta Analysis ◽  
Equation Modeling ◽  
Personal Resources ◽  
Feedback Seeking ◽  
Eligibility Criteria ◽  
Seeking Behavior

Abstract Based on the Job Demands-Resources theory, this meta‐analysis investigates the role of resources in predicting feedback-seeking behavior (FSB) over time. We also examine the relationship between FSB and its outcomes from a systematic review perspective. The eligibility criteria were: (a) to measure feedback-seeking behavior, (b) to have a longitudinal design, and (c) to have employees as target groups. Thirteen studies met these criteria (Ntotal= 1,527). We combined the meta-analysis procedures and structural equation modeling (metaSEM) and used the systematic review. The methodological quality of the available longitudinal studies is assessed. Our findings indicated that job resources predict future feedback-seeking behavior and between feedback-seeking behavior and personal resources is significant relationship. More research is needed to clarify the reciprocal relationships between personal resources and feedback-seeking behavior and the influences of feedback-seeking behavior on performance.

The Roles of Initial Mathematics, Reading, and Cognitive Skills in Subsequent Mathematics Performance: A Meta-Analytic Structural Equation Modeling Approach

2021 ◽  
pp. 003465432110545
Author(s):  
Xin Lin ◽  
Sarah R. Powell
Keyword(s):  
Working Memory ◽  
Structural Equation Modeling ◽  
Cognitive Skills ◽  
Structural Equation ◽  
Meta Analysis ◽  
Time Lag ◽  
Mathematics Performance ◽  
Equation Modeling ◽  
Word Problem Solving ◽  
Significant Moderator

In the present meta-analysis, we systematically investigated the relative contributions of students’ initial mathematics, reading, and cognitive skills on subsequent mathematics performance measured at least 3 months later. With one-stage meta-analytic structural equation modeling, we conducted analyses based on 580,437 students from 265 independent samples and 250 studies. Findings suggested fluency in both mathematics and reading, as well as working memory, yielded greater impacts on subsequent mathematics performance. Age emerged as a significant moderator in the model, such that the effects of comprehensive mathematics and working memory on subsequent mathematics increased with age, whereas attention and self-regulation’s impacts declined with age. Time lag between assessments also emerged as a significant moderator, such that the effects of word-problem solving and word recognition accuracy decreased as the time lag increased, whereas vocabulary, attention, and self-regulation’s effects increased as the time lag increased.

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