Asia Pacific Journal of Management· 2023Q1· Review
Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations
- 1,917citations
- Q1SCImago
- 2023year
Short summary
This paper argues that common methods for reporting measurement scale quality in management studies, like Cronbach's alpha and basic CFA, are often inadequate and fail to account for sampling errors.
AI-generated from the title and abstract; the full text is not read.
Key points
- Standard methods (Cronbach's alpha, basic CFA) for assessing measurement scale quality in management research are often insufficient.
- Existing methods rarely account for sampling errors, which can distort quality assessments.
- The paper recommends best practices for reliability, convergent, and discriminant validity assessment using multiple criteria and sampling error considerations.
- A new R package, 'measureQ', is introduced as a tool to implement these recommended practices and facilitate reporting.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Many constructs in management studies, such as perceptions, personalities, attitudes, and behavioral intentions, are not directly observable. Typically, empirical studies measure such constructs using established scales with multiple indicators. When the scales are used in a different population, the items are translated into other languages or revised to adapt to other populations, it is essential for researchers to report the quality of measurement scales before using them to test hypotheses. Researchers commonly report the quality of these measurement scales based on Cronbach’s alpha and confirmatory factor analysis results. However, these results are usually inadequate and sometimes inappropriate. Moreover, researchers rarely consider sampling errors for these psychometric quality measures. In this best practice paper, we first critically review the most frequently-used approaches in empirical studies to evaluate the quality of measurement scales when using structural equation modeling. Next, we recommend best practices in assessing reliability, convergent and discriminant validity based on multiple criteria and taking sampling errors into consideration. Then, we illustrate with numerical examples the application of a specifically-developed R package, measureQ, that provides a one-stop solution for implementing the recommended best practices and a template for reporting the results. measureQ is easy to implement, even for those new to R. Our overall aim is to provide a best-practice reference for future authors, reviewers, and editors in reporting and reviewing the quality of measurement scales in empirical management studies.
The authors' abstract, as published at the source. Asia Pacific Journal of Management, 2023 · DOI ↗
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Field: Applied Psychology
Applied PsychologyPsychology