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A Meta-Analysis of Construct Reliability Indices and Measurement Model Fit Metrics​

Author(s)
Peterson, Robert A.Kim, YeolibChoi, Boreum
Issued Date
2020-09
DOI
10.5964/meth.2797
URI
https://scholarworks.unist.ac.kr/handle/201301/48874
Fulltext
https://meth.psychopen.eu/index.php/meth/article/view/2797
Citation
METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, v.16, no.3, pp.208 - 223
Abstract
The present research examined the distributional properties of construct reliability indices and model fit metrics, explored relationships between and among the indices and metrics, and investigated variables influencing the relative magnitudes of the indices and metrics in structural equation measurement models. A broad-based meta-analysis of reported construct reliability indices and selected model fit metrics revealed modest relationships among reliability indices, minimal relationships among model fit metrics, and a virtual absence of relationships between reliability indices and model fit metrics. Differences in magnitudes of selected reliability indices and model fit metrics were found to primarily be a function of the (total) number of items employed in a measurement model. The implications of the findings suggest that the current practice of indiscriminately computing and reporting of reliability indices and model fit metrics based only on arbitrary heuristics should be abolished and replaced by theoretically justified indices and metrics. © This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License, CC BY 4.0, which permits unrestricted use, distribution, and reproduction, provided the original work is properly cited.
Publisher
Hogrefe & Huber Publishers
ISSN
1614-1881
Keyword (Author)
structural equation modelmeasurement modelconfirmatory factor analysisconstruct reliabilitymodel fitmeta-analysis
Keyword
COEFFICIENT ALPHACUTOFF VALUESRMSEACFI

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