What question did this study set out to answer?

The aim is to critically evaluate and recommend best practices for reporting measurement scale quality in management studies using structural equation modeling.

January 30, 2023Asia Pacific Journal of ManagementOpen Access

Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations

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Authors

GCGordon W. CheungUniversity of Auckland HCHelena D. Cooper–ThomasAuckland University of Technology RLRebecca S. LauStockport College

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Implication

Best practice guidelines enhance the assessment of measurement scales in management research, improving empirical rigor.

Key Points

The aim is to critically evaluate and recommend best practices for reporting measurement scale quality in management studies using structural equation modeling.
Review of common approaches used to assess measurement scale quality.
Recommendation of practices for evaluating reliability, convergent validity, and discriminant validity.
Illustration of a specialized R package, measureQ, to facilitate implementation of these practices.
Challenged the adequacy of current practices such as relying solely on Cronbach’s alpha and confirmatory factor analysis.
Outlined the importance of considering sampling errors in psychometric assessments.
Provided a template and numerical examples using the measureQ package for better reporting standards.

Cite This Study

Cheung et al. (2023) studied this question.

synapsesocial.com/papers/69b2f5b1174fca391ababc57 https://doi.org/10.1007/s10490-023-09871-y

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Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations

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Key Points

Cite This Study

Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations

Discussion

Member takes

Implication

Key Points

Cite This Study

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