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Checking the Inventory: Illustrating Different Methods for Individual Participant Data Meta-Analytic Structural Equation Modeling

Title: Checking the Inventory: Illustrating Different Methods for Individual Participant Data Meta-Analytic Structural Equation Modeling
Language: English
Authors: Lennert J. Groot (ORCID 0000-0002-8711-6086); Kees-Jan Kan (ORCID 0000-0003-0088-9906); Suzanne Jak (ORCID 0000-0002-2223-5594)
Source: Research Synthesis Methods. 2024 15(6):872-895.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 24
Publication Date: 2024
Document Type: Journal Articles; Reports - Research
Descriptors: Meta Analysis; Structural Equation Models; Research Methodology; Data Analysis; Open Source Technology; Computer Software
DOI: 10.1002/jrsm.1735
ISSN: 1759-2879; 1759-2887
Abstract: 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.
Abstractor: As Provided
Notes: https://osf.io/y9x8q
Entry Date: 2024
Accession Number: EJ1447307
Database: ERIC