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

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 measu...

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Main Authors: Robert A. Peterson, Yeolib Kim, Boreum Choi
Format: Article
Language:English
Published: PsychOpen 2020-09-01
Series:Methodology
Subjects:
Online Access:https://meth.psychopen.eu/index.php/meth/article/view/2797
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spelling doaj-9decf3e71adc4f3eb5fb424b3c2bde0f2021-07-13T15:24:47ZengPsychOpenMethodology1614-22412020-09-0116320822310.5964/meth.2797meth.2797A Meta-Analysis of Construct Reliability Indices and Measurement Model Fit MetricsRobert A. Peterson0Yeolib Kim1Boreum Choi2Department of Marketing, The University of Texas at Austin, Austin, TX, USASchool of Business Administration, Ulsan National Institute of Science and Technology, Ulsan, South KoreaSchool of Business Administration, University of Seoul, Seoul, South KoreaThe 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.https://meth.psychopen.eu/index.php/meth/article/view/2797structural equation modelmeasurement modelconfirmatory factor analysisconstruct reliabilitymodel fitmeta-analysis
collection DOAJ
language English
format Article
sources DOAJ
author Robert A. Peterson
Yeolib Kim
Boreum Choi
spellingShingle Robert A. Peterson
Yeolib Kim
Boreum Choi
A Meta-Analysis of Construct Reliability Indices and Measurement Model Fit Metrics
Methodology
structural equation model
measurement model
confirmatory factor analysis
construct reliability
model fit
meta-analysis
author_facet Robert A. Peterson
Yeolib Kim
Boreum Choi
author_sort Robert A. Peterson
title A Meta-Analysis of Construct Reliability Indices and Measurement Model Fit Metrics
title_short A Meta-Analysis of Construct Reliability Indices and Measurement Model Fit Metrics
title_full A Meta-Analysis of Construct Reliability Indices and Measurement Model Fit Metrics
title_fullStr A Meta-Analysis of Construct Reliability Indices and Measurement Model Fit Metrics
title_full_unstemmed A Meta-Analysis of Construct Reliability Indices and Measurement Model Fit Metrics
title_sort meta-analysis of construct reliability indices and measurement model fit metrics
publisher PsychOpen
series Methodology
issn 1614-2241
publishDate 2020-09-01
description 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.
topic structural equation model
measurement model
confirmatory factor analysis
construct reliability
model fit
meta-analysis
url https://meth.psychopen.eu/index.php/meth/article/view/2797
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