Results 91 to 100 of about 12,078 (210)
Hayef: Journal of Education, 2023 In this study, the root mean square error values of item parameters’ estimation in a two-dimensional structure condition were examined under different conditions, considering three and five categories with different algorithms (Expectation–Maximization ...
Serap BÜYÜKKIDIK, Hakan Yavuz ATAR
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Conceptual Notes on Models for Discrete Polytomous Item Responses [PDF]
Applied Psychological Measurement, 1995 The following types of discrete item responses are distinguished : nominal-dichotomous, ordinal-dichotomous, nominal-polytomous, and ordinal-polytomous. Bock (1972) presented a model for nominal-polytomous item responses that, when applied to dichotomous responses, yields Birnbaum's (1968) two-parameter logistic model. Applying Bock's model to ordinal-
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Item response theory in educational assessment and evaluation
Mesure et Évaluation en Éducation, 2008 Item response theory provides a useful and theoretically well-founded framework for educational measurement. It supports such activities as the construction of measurement instruments, linking and equating measurements, and evaluation of test bias and ...
Cees A.W. Glas
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International Journal of Assessment Tools in Education, 2015 This study investigated the effectiveness of logistic regression models to detect uniform and non-uniform DIF in polytomous items across small sample sizes and non-normality of ability distributions.
Yasemin KAYA +2 more
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Multilevel Generalized Mantel-Haenszel for Differential Item Functioning Detection
Frontiers in Education, 2019 Research has demonstrated that when data are collected in a multilevel framework, standard single level differential item functioning (DIF) analyses can yield incorrect results, particularly inflated Type I error rates.
Brian F. French +2 more
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Collapsing or Not? A Practical Guide to Handling Sparse Responses for Polytomous Items
MethodologyIn ordinal data analysis, category collapse is the process of combining adjacent response options to create fewer response categories than were originally measured.
Yale Quan, Chun Wang
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Termination Criteria for Grid Multiclassification Adaptive Testing With Multidimensional Polytomous Items. [PDF]
Appl Psychol Meas, 2022 Wang Z, Wang C, Weiss DJ.
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REID (Research and Evaluation in Education)This study aims to compare the analysis model of the characteristics of reading literacy items with the polytomous item response theory, which uses the Graded Response Model (GRM), Partial Credit Model (PCM), Generalized Partial Credit Model (GPCM), and ...
Firyal Nabila Harsana +6 more
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ltm: An R Package for Latent Variable Modeling and Item Response Analysis [PDF]
The R package ltm has been developed for the analysis of multivariate dichotomous and polytomous data using latent variable models, under the Item Response Theory approach.
Dimitris Rizopoulos
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Extending the Cluster Approach to Differential Item Functioning in Polytomous Items
Journal of Educational and Behavioral StatisticsTo objectively compare groups on any latent trait using tests, the absence of differential item functioning (DIF) is crucial. While the importance of DIF has been well-established in research, the question of how to identify DIF-free items is still largely open.
Schoenmakers, Martijn +3 more
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