ArticlePsychometrika2023
Estimating and Using Block Information in the Thurstonian IRT Model.
Article in Psychometrika, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Estimating on-farm genotypic performance and variability using ranking data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Multidimensional Generalized Partial Preference Model for Forced-Choice Items.Psychometrika · 2025Article
- Development of a Forced-Choice Personality Inventory via Thurstonian Item Response Theory (TIRT).Behavioral sciences (Basel, Switzerland) · 2024Article
- Article
- Detecting Careless Responding in Multidimensional Forced-Choice Questionnaires.Educational and psychological measurement · 2024Article
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1 author.
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Abstract
Multidimensional forced-choice (MFC) tests are increasing in popularity but their construction is complex. The Thurstonian item response model (Thurstonian IRT model) is most often used to score MFC tests that contain dominance items. Currently, in a frequentist framework, information about the latent traits in the Thurstonian IRT model is computed for binary outcomes of pairwise comparisons, but this approach neglects stochastic dependencies. In this manuscript, it is shown how to estimate Fisher information on the block level. A simulation study showed that the observed and expected standard errors based on the block information were similarly accurate. When local dependencies for block sizes [Formula: see text] were neglected, the standard errors were underestimated, except with the maximum a posteriori estimator. It is shown how the multidimensional block information can be summarized for test construction. A simulation study and an empirical application showed small differences between the block information summaries depending on the outcome considered. Thus, block information can aid the construction of reliable MFC tests.
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