2020
DOI: 10.1002/per.2284
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Open Peer Commentary and Author's Response

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Cited by 12 publications
(1 citation statement)
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References 369 publications
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“…Measurement invariance analyses are a useful tool, but they have been criticized as too sensitive, potentially detecting minor violations of invariance that can be safely ignored (Funder, 2020). The analyses are conditional on a factor model that may be useful but is almost certainly incorrect (Srivastava, 2020;Wood et al, 2015). We attempted to address the former issue by gauging the practical differences between a priori and corrected measures, but the psychometric properties of Big Five measures should never be considered settled for all populations and applications.…”
Section: Limitations and Conclusionmentioning
confidence: 99%
“…Measurement invariance analyses are a useful tool, but they have been criticized as too sensitive, potentially detecting minor violations of invariance that can be safely ignored (Funder, 2020). The analyses are conditional on a factor model that may be useful but is almost certainly incorrect (Srivastava, 2020;Wood et al, 2015). We attempted to address the former issue by gauging the practical differences between a priori and corrected measures, but the psychometric properties of Big Five measures should never be considered settled for all populations and applications.…”
Section: Limitations and Conclusionmentioning
confidence: 99%