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Direct linkChengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
Download full textProvasnik, Stephen; Dogan, Enis; Erberber, Ebru; Zheng, Xiaying – National Center for Education Statistics, 2020
Large-scale assessment programs, such as the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS), employ item response theory (IRT) and marginal estimation methods to estimate student proficiency in specific subjects such as mathematics, science, or reading. Each of these…
Descriptors: Student Evaluation, Evaluation Methods, Academic Achievement, Item Response Theory
Martin, Michael O., Ed.; von Davier, Matthias, Ed.; Mullis, Ina V. S., Ed. – International Association for the Evaluation of Educational Achievement, 2020
The chapters in this online volume comprise the TIMSS & PIRLS International Study Center's technical report of the methods and procedures used to develop, implement, and report the results of TIMSS 2019. There were various technical challenges because TIMSS 2019 was the initial phase of the transition to eTIMSS, with approximately half the…
Descriptors: Foreign Countries, Elementary Secondary Education, Achievement Tests, International Assessment
Arenson, Ethan A.; Karabatsos, George – Grantee Submission, 2017
Item response models typically assume that the item characteristic (step) curves follow a logistic or normal cumulative distribution function, which are strictly monotone functions of person test ability. Such assumptions can be overly-restrictive for real item response data. We propose a simple and more flexible Bayesian nonparametric IRT model…
Descriptors: Bayesian Statistics, Item Response Theory, Nonparametric Statistics, Models
Yalcin, Seher – Eurasian Journal of Educational Research, 2018
Purpose: Studies in the literature have generally demonstrated that the causes of differential item functioning (DIF) are complex and not directly related to defined groups. The purpose of this study is to determine the DIF according to the mixture item response theory (MixIRT) model, based on the latent group approach, as well as the…
Descriptors: Item Response Theory, Test Items, Test Bias, Error of Measurement
Lu, Yi – ProQuest LLC, 2012
Cross-national comparisons of responses to survey items are often affected by response style, particularly extreme response style (ERS). ERS varies across cultures, and has the potential to bias inferences in cross-national comparisons. For example, in both PISA and TIMSS assessments, it has been documented that when examined within countries,…
Descriptors: Item Response Theory, Attitude Measures, Response Style (Tests), Cultural Differences
