Results 11 to 20 of about 400,137 (262)

The Impact of Test and Sample Characteristics on Model Selection and Classification Accuracy in the Multilevel Mixture IRT Model

Frontiers in Psychology, 2020
The standard item response theory (IRT) model assumption of a single homogenous population may be violated in real data. Mixture extensions of IRT models have been proposed to account for latent heterogeneous populations, but these models are not ...
Sedat Sen, Allan S. Cohen
doaj   +1 more source

Comparing Robust Linking and Regularized Estimation for Linking Two Groups in the 1PL and 2PL Models in the Presence of Sparse Uniform Differential Item Functioning

Stats, 2023
In the social sciences, the performance of two groups is frequently compared based on a cognitive test involving binary items. Item response models are often utilized for comparing the two groups.
Alexander Robitzsch
doaj   +1 more source

Polytomous Item Explanatory Item Response Theory Models [PDF]

Educational and Psychological Measurement, 2019
This study investigates polytomous item explanatory item response theory models under the multivariate generalized linear mixed modeling framework, using the linear logistic test model approach. Building on the original ideas of the many-facet Rasch model and the linear partial credit model, a polytomous Rasch model is extended to the item location ...
Kim, Jinho, Wilson, Mark
openaire   +4 more sources

Review: Item Response Theory Models Analysis [PDF]

مجلة العلوم التجارية والبيئية
This review paper provides a comprehensive overview of Item Response Theory (IRT), its fundamental concepts in the 1940s, major models, practical applications, and recent developments, and its current status as a cornerstone of modern analysis across ...
Ahmed A. Elsheikh, Heba M Saidelahl
doaj   +1 more source

Analytical Approximation of the Jackknife Linking Error in Item Response Models Utilizing a Taylor Expansion of the Log-Likelihood Function

AppliedMath, 2023
Linking errors in item response models quantify the dependence on the chosen items in means, standard deviations, or other distribution parameters. The jackknife approach is frequently employed in the computation of the linking error.
Alexander Robitzsch
doaj   +1 more source

Data Fit Comparison of Mixture Item Response Theory Models and Traditional Models

International Journal of Assessment Tools in Education, 2018
Thepurpose of this study is to determine the best IRT model [Rasch, 2PL, 3PL, 4PLand mixed IRT (2 and 3PL)] for the science and technology subtest of theTransition from Basic Education to Secondary Education (TEOG) exam, which is carriedout at national ...
Seher Yalçın
doaj   +3 more sources

Explanatory Item Response Models for Polytomous Item Responses

International Journal of Assessment Tools in Education, 2019
Item response theory is a widely used framework for the design, scoring, and scaling of measurement instruments. Item response models are typically used for dichotomously scored questions that have only two score points (e.g., multiple-choice items).
Luke STANKE, Okan BULUT
openaire   +4 more sources

Comparing item parameter estimates and fit statistics of the Rasch model from three different traditions

Jurnal Penelitian dan Evaluasi Pendidikan, 2020
Rasch model is a method that has a long history in its application in the fields of social and behavioral sciences, including educational measurement.
Bahrul Hayat, Muhammad Dwirifqi Kharisma Putra, Bambang Suryadi   +2 more
doaj   +1 more source

Nonignorable Consequences of (Partially) Ignoring Missing Item Responses: Students Omit (Constructed Response) Items Due to a Lack of Knowledge

Knowledge, 2023
In recent literature, alternative models for handling missing item responses in large-scale assessments have been proposed. Based on simulations and arguments based on psychometric test theory, it is argued in this literature that missing item responses ...
Alexander Robitzsch
doaj   +1 more source

About the Equivalence of the Latent D-Scoring Model and the Two-Parameter Logistic Item Response Model

Mathematics, 2021
This article shows that the recently proposed latent D-scoring model of Dimitrov is statistically equivalent to the two-parameter logistic item response model.
Alexander Robitzsch
doaj   +1 more source