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Materials of International Practical Internet Conference “Challenges of Science”, 2023
Basic knowledge of mathematics is essential for solving problems contextually. Mathematics has a function for the development of the ability to calculate, measure, find, and use mathematical formulas that can provide students with an understanding of concepts related to life phenomena.
Rifqi Kamal Alan, Istiyono Edi
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Basic knowledge of mathematics is essential for solving problems contextually. Mathematics has a function for the development of the ability to calculate, measure, find, and use mathematical formulas that can provide students with an understanding of concepts related to life phenomena.
Rifqi Kamal Alan, Istiyono Edi
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Mixed Compensation Multidimensional Item Response Theory
2020Computerized Assisted Testing (CAT) has supported the development of numerous adaptive testing approaches. Such approach as Item Response Theory (IRT) estimates a student’s competency level by modeling a test as a function of the individual’s knowledge ability, and the parameters of the question (i.e. item). Multidimensional Item Response Theory (MIRT)
Béatrice Moissinac, Aditya Vempaty
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2023
Supplemental Material for Efficiency Analysis of Item Response Theory Kernel Equating for Mixed-Format Tests by Joakim Wallmark, Maria Josefsson, and Marie Wiberg in Applied Psychological Measurement.
Wallmark, Joakim +2 more
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Supplemental Material for Efficiency Analysis of Item Response Theory Kernel Equating for Mixed-Format Tests by Joakim Wallmark, Maria Josefsson, and Marie Wiberg in Applied Psychological Measurement.
Wallmark, Joakim +2 more
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Chinese/English Journal of Educational Measurement and Evaluation, 2021
The present study used the mixed item response theory (IRT) model to identify qualitatively distinct subgroups of sixth-grade students with respect to their performance on word problems on speed. A total of 345 Singaporean students and 361 Chinese students took a problem-solving test on speed.
Chunlian Jiang, Chuang Wang, Do-Hong Kim
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The present study used the mixed item response theory (IRT) model to identify qualitatively distinct subgroups of sixth-grade students with respect to their performance on word problems on speed. A total of 345 Singaporean students and 361 Chinese students took a problem-solving test on speed.
Chunlian Jiang, Chuang Wang, Do-Hong Kim
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Correction for Item Response Theory Latent Trait Measurement Error in Linear Mixed Effects Models
Psychometrika, 2019When latent variables are used as outcomes in regression analysis, a common approach that is used to solve the ignored measurement error issue is to take a multilevel perspective on item response modeling (IRT). Although recent computational advancement allows efficient and accurate estimation of multilevel IRT models, we argue that a two-stage divide ...
Chun Wang, Gongjun Xu, Xue Zhang
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Impact of Accumulated Error on Item Response Theory Pre-Equating With Mixed Format Tests
Applied Measurement in Education, 2015ABSTRACTThe equating of tests is an essential processes in high-stakes, large-scale testing conducted over multiple forms or administrations. By adjusting for differences in difficulty and placing scores from different administrations of a test on a common scale, equating allows scores from these different forms and administrations to be directly ...
Lisa A. Keller +3 more
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The Impact of Varied Discrimination Parameters on Mixed-Format Item Response Theory Model Selection
Educational and Psychological Measurement, 2013Whittaker, Chang, and Dodd compared the performance of model selection criteria when selecting among mixed-format IRT models and found that the criteria did not perform adequately when selecting the more parameterized models. It was suggested by M. S.
Tiffany A. Whittaker +2 more
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Organizational Research Methods, 2010
In this article, the authors illustrate the use of mixed-model item response theory (MM-IRT) and explain its usefulness for analyzing organizational surveys. The authors begin by giving an overview of MM-IRT, focusing on both technical aspects and previous organizational applications.
Nathan T. Carter +4 more
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In this article, the authors illustrate the use of mixed-model item response theory (MM-IRT) and explain its usefulness for analyzing organizational surveys. The authors begin by giving an overview of MM-IRT, focusing on both technical aspects and previous organizational applications.
Nathan T. Carter +4 more
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Organizational Research Methods, 2010
Traditional item response theory (IRT) measurement invariance approaches examine measurement equivalence (ME) between observed groups (e.g., race, gender, culture). By contrast, mixed-measurement item response theory (MM-IRT) ascertains ME among unobserved groups (i.e., latent classes [LC] of respondents distinguished by differences in scale use ...
Tay, L., Newman, D.A., Vermunt, J.K.
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Traditional item response theory (IRT) measurement invariance approaches examine measurement equivalence (ME) between observed groups (e.g., race, gender, culture). By contrast, mixed-measurement item response theory (MM-IRT) ascertains ME among unobserved groups (i.e., latent classes [LC] of respondents distinguished by differences in scale use ...
Tay, L., Newman, D.A., Vermunt, J.K.
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