ArticleEducational and psychological measurement2021
Parameter Estimation Accuracy of the Effort-Moderated Item Response Theory Model Under Multiple Assumption Violations.
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 9 papers.
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Who cites it
9 citing papers in PubMed.
- Comparing Different Approaches of (Not) Accounting for Rapid Guessing in Plausible Values Estimation.Educational and psychological measurement · 2026Article
- A Comparison of Response Time Threshold Scoring Procedures in Mitigating Bias From Rapid Guessing Behavior.Educational and psychological measurement · 2024Article
- Identifying Ability and Nonability Groups: Incorporating Response Times Using Mixture Modeling.Educational and psychological measurement · 2022Article
- Estimation of Person Ability under Rapid and Effortful Responding.Journal of Intelligence · 2022Article
- A Comparison of Robust Likelihood Estimators to Mitigate Bias From Rapid Guessing.Applied psychological measurement · 2022Article
- Assessing the Accuracy of Parameter Estimates in the Presence of Rapid Guessing Misclassifications.Educational and psychological measurement · 2022Article
- The Role of Response Times on the Measurement of Mental Ability.Frontiers in psychology · 2022Article
- Is Differential Noneffortful Responding Associated With Type I Error in Measurement Invariance Testing?Educational and psychological measurement · 2021Article
- 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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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
As low-stakes testing contexts increase, low test-taking effort may serve as a serious validity threat. One common solution to this problem is to identify noneffortful responses and treat them as missing during parameter estimation via the effort-moderated item response theory (EM-IRT) model. Although this model has been shown to outperform traditional IRT models (e.g., two-parameter logistic [2PL]) in parameter estimation under simulated conditions, prior research has failed to examine its performance under violations to the model's assumptions. Therefore, the objective of this simulation study was to examine item and mean ability parameter recovery when violating the assumptions that noneffortful responding occurs randomly (Assumption 1) and is unrelated to the underlying ability of examinees (Assumption 2). Results demonstrated that, across conditions, the EM-IRT model provided robust item parameter estimates to violations of Assumption 1. However, bias values greater than 0.20
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