Discrimination with unidimensional and multidimensional item response theory models for educational data
DOI10.1080/03610918.2019.1705344zbMath1489.62369OpenAlexW2998523314WikidataQ126435497 ScholiaQ126435497MaRDI QIDQ5866138
Frank Miller, Mahmood Ul Hassan
Publication date: 13 June 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2019.1705344
discriminationmultidimensional item response theorymultidimensional graded response modelachievement testsmultidimensional four parameter logistic model
Factor analysis and principal components; correspondence analysis (62H25) Hypothesis testing in multivariate analysis (62H15) Applications of statistics to psychology (62P15)
Uses Software
Cites Work
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- On separable tests, correlated priors, and paradoxical results in multidimensional item response theory
- On compensation in multidimensional response modeling
- Generalizations of paradoxical results in multidimensional item response theory
- Multidimensional item reponse theory.
- How many principal components? Stopping rules for determining the number of non-trivial axes revisited
- Paradoxical results in multidimensional item response theory
- A rationale and test for the number of factors in factor analysis
- A new explanation and proof of the paradoxical scoring results in multidimensional item response models
- Some necessary conditions for common-factor analysis
- Model Selection and Multimodel Inference
- Item Response Theory
- 18 Multidimensional Item Response Theory
- Applied Optimal Designs
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