File Download

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

김여립

Kim, Yeolib
Business Analytics Center
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.endPage 223 -
dc.citation.number 3 -
dc.citation.startPage 208 -
dc.citation.title METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES -
dc.citation.volume 16 -
dc.contributor.author Peterson, Robert A. -
dc.contributor.author Kim, Yeolib -
dc.contributor.author Choi, Boreum -
dc.date.accessioned 2023-12-21T17:06:45Z -
dc.date.available 2023-12-21T17:06:45Z -
dc.date.created 2020-12-07 -
dc.date.issued 2020-09 -
dc.description.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. -
dc.identifier.bibliographicCitation METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, v.16, no.3, pp.208 - 223 -
dc.identifier.doi 10.5964/meth.2797 -
dc.identifier.issn 1614-1881 -
dc.identifier.scopusid 2-s2.0-85096683013 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/48874 -
dc.identifier.url https://meth.psychopen.eu/index.php/meth/article/view/2797 -
dc.identifier.wosid 000594095700002 -
dc.language 영어 -
dc.publisher Hogrefe & Huber Publishers -
dc.title A Meta-Analysis of Construct Reliability Indices and Measurement Model Fit Metrics​ -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.type.docType Article -
dc.description.journalRegisteredClass ssci -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor structural equation model -
dc.subject.keywordAuthor measurement model -
dc.subject.keywordAuthor confirmatory factor analysis -
dc.subject.keywordAuthor construct reliability -
dc.subject.keywordAuthor model fit -
dc.subject.keywordAuthor meta-analysis -
dc.subject.keywordPlus COEFFICIENT ALPHA -
dc.subject.keywordPlus CUTOFF VALUES -
dc.subject.keywordPlus RMSEA -
dc.subject.keywordPlus CFI -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.