ArticleEducational and psychological measurement2021
Is Differential Noneffortful Responding Associated With Type I Error in Measurement Invariance Testing?
Article in Educational and psychological measurement, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Measuring visual ability in linguistically diverse populations.Behavior research methods · 2024Article
- Investigating the Effect of Differential Rapid Guessing on Population Invariance in Equating.Applied psychological measurement · 2022Article
- The Effect of Psychological Distress on Measurement Invariance in Measures of Mental Wellbeing.International journal of environmental research and public health · 2022Article
- A Comparison of Robust Likelihood Estimators to Mitigate Bias From Rapid Guessing.Applied psychological measurement · 2022Article
- Quantifying the Distorting Effect of Rapid Guessing on Estimates of Coefficient Αlpha.Applied psychological measurement · 2022Article
- Investigating the Impact of Noneffortful Responses on Individual-Level Scores: Can the Effort-Moderated IRT Model Serve as a Solution?Applied psychological measurement · 2021Article
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Abstract
Low test-taking effort as a validity threat is common when examinees perceive an assessment context to have minimal personal value. Prior research has shown that in such contexts, subgroups may differ in their effort, which raises two concerns when making subgroup mean comparisons. First, it is unclear how differential effort could influence evaluations of scale property equivalence. Second, if attaining full scalar invariance, the degree to which differential effort can bias subgroup mean comparisons is unknown. To address these issues, a simulation study was conducted to examine the influence of differential noneffortful responding (NER) on evaluations of measurement invariance and latent mean comparisons. Results showed that as differential rates of NER grew, increased Type I errors of measurement invariance were observed only at the metric invariance level, while no negative effects were apparent for configural or scalar invariance. When full scalar invariance was correctly attained, differential NER led to bias of mean score comparisons as large as 0.18 standard deviations with a differential NER rate of 7%. These findings suggest that test users should evaluate and document potential differential NER prior to both conducting measurement quality analyses and reporting disaggregated subgroup mean performance.
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