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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Online Access: | https://meth.psychopen.eu/index.php/meth/article/view/2797 |
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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 |
work_keys_str_mv |
AT robertapeterson ametaanalysisofconstructreliabilityindicesandmeasurementmodelfitmetrics AT yeolibkim ametaanalysisofconstructreliabilityindicesandmeasurementmodelfitmetrics AT boreumchoi ametaanalysisofconstructreliabilityindicesandmeasurementmodelfitmetrics AT robertapeterson metaanalysisofconstructreliabilityindicesandmeasurementmodelfitmetrics AT yeolibkim metaanalysisofconstructreliabilityindicesandmeasurementmodelfitmetrics AT boreumchoi metaanalysisofconstructreliabilityindicesandmeasurementmodelfitmetrics |
_version_ |
1721305188351868928 |