ArticleEducational and psychological measurement2021
A Mixture IRTree Model for Extreme Response Style: Accounting for Response Process Uncertainty.
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 13 papers.
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13 citing papers in PubMed.
- Accounting for response styles in rating data using IRT and IRTree models: A tutorial in R with applications to self-reported metacognitive competence.Behavior research methods · 2026Article
- Modeling the response style in continuous bounded responses: Model development and validation.Behavior research methods · 2025Article
- Disentangling individual differences in cognitive response mechanisms for rating scale items: A flexible-mixture multidimensional IRTree approach.Behavior research methods · 2025Article
- Investigating heterogeneity in IRTree models for multiple response processes with score-based partitioning.The British journal of mathematical and statistical psychology · 2025Article
- Psychometric benefits of self-chosen rating scales over given rating scales.Behavior research methods · 2024Article
- Investigating Heterogeneity in Response Strategies: A Mixture Multidimensional IRTree Approach.Educational and psychological measurement · 2024Article
- Separation of Traits and Extreme Response Style in IRTree Models: The Role of Mimicry Effects for the Meaningful Interpretation of Estimates.Educational and psychological measurement · 2024Article
- Predicting response time on self-report rating scale assessments of noncognitive constructs.Behavior research methods · 2024Article
- A Stan tutorial on Bayesian IRTree models: Conventional models and explanatory extension.Behavior research methods · 2024Article
- Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes.Psychometrika · 2023Article
- Using IRTree Models to Promote Selection Validity in the Presence of Extreme Response Styles.Journal of Intelligence · 2023Article
- Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models.Psychometrika · 2023Article
- Modeling Rapid Guessing Behaviors in Computer-Based Testlet Items.Applied psychological measurement · 2023Article
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2 authors.
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Abstract
This paper presents a mixture item response tree (IRTree) model for extreme response style. Unlike traditional applications of single IRTree models, a mixture approach provides a way of representing the mixture of respondents following different underlying response processes (between individuals), as well as the uncertainty present at the individual level (within an individual). Simulation analyses reveal the potential of the mixture approach in identifying subgroups of respondents exhibiting response behavior reflective of different underlying response processes. Application to real data from the Students Like Learning Mathematics (SLM) scale of Trends in International Mathematics and Science Study (TIMSS) 2015 demonstrates the superior comparative fit of the mixture representation, as well as the consequences of applying the mixture on the estimation of content and response style traits. We argue that methodology applied to investigate response styles should attend to the inherent uncertainty of response style influence due to the likely influence of both response styles and the content trait on the selection of extreme response categories.
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