Results 1 to 10 of about 1,259 (173)

Linking Error in the 2PL Model [PDF]

J, 2023
The two-parameter logistic (2PL) item response model is likely the most frequently applied item response model for analyzing dichotomous data. Linking errors quantify the variability in means or standard deviations due to the choice of items.
Alexander Robitzsch
doaj   +3 more sources

Flexibility at the Price of Volatility: Concurrent Calibration in Multistage Tests in Practice Using a 2PL Model [PDF]

Frontiers in Education, 2021
Multistage test (MST) designs promise efficient student ability estimates, an indispensable asset for individual diagnostics in high-stakes educational assessments.
Laura A. Helbling, Stéphanie Berger, Angela Verschoor   +2 more
doaj   +3 more sources

Pairwise Likelihood Estimation of the 2PL Model with Locally Dependent Item Responses [PDF]

Applied Sciences
The local independence assumption is crucial for the consistent estimation of item parameters in item response theory models. This article explores a pairwise likelihood estimation approach for the two-parameter logistic (2PL) model that treats the local
Alexander Robitzsch
doaj   +3 more sources

The Rank-2PL IRT Models for Forced-Choice Questionnaires: Maximum Marginal Likelihood Estimation with an EM Algorithm [PDF]

J Educ Behav Stat
The rank two-parameter logistic (Rank-2PL) item response theory models refer to a set of models applying the 2PL model in a sequential ranking process that occurs in forced-choice questionnaires. The multi-unidimensional pairwise preference with 2PL model (MUPP-2PL) is a Rank-2PL model for items with two statements.
Jianbin Fu, Xuan Tan, Patrick C. Kyllonen   +2 more
europepmc   +5 more sources

An Introduction to the DA-T Gibbs Sampler for the Two-Parameter Logistic (2PL) Model and Beyond

Psicológica, 2005
The DA-T Gibbs sampler is proposed by Maris and Maris (2002) as a Bayesian estimation method for a wide variety of Item Response Theory (IRT) models.
Gunter Maris, Timo M. Bechger
doaj   +2 more sources

Information Functions of Rank‐2PL Models for Forced‐Choice Questionnaires [PDF]

Journal of Educational Measurement, 2023
AbstractThis paper presents the item and test information functions of the Rank two‐parameter logistic models (Rank‐2PLM) for items with two (pair) and three (triplet) statements in forced‐choice questionnaires. The Rank‐2PLM model for pairs is the MUPP‐2PLM (Multi‐Unidimensional Pairwise Preference) and, for triplets, is the Triplet‐2PLM.
Jianbin Fu, Xuan Tan, Patrick C. Kyllonen   +2 more
openaire   +3 more sources

A Comparison of Linking Methods for Longitudinal Designs with the 2PL Model Under Item Parameter Drift [PDF]

Applied Measurement in Education
This study investigates the longitudinal linking of dichotomous item responses at three time points, focusing on the performance of Haberman linking, Haebara linking, Stocking-Lord linking, and concurrent calibration in the presence of item parameter drift (IPD). Two general linking approaches, joint and chain linking, are examined.
Oskar Engels, Oliver Lüdtke, Alexander Robitzsch   +2 more
  +7 more sources

Item and Test Characteristic Curves of Rank-2PL Models for Multidimensional Forced-Choice Questionnaires [PDF]

Appl Meas Educ
Jianbin Fu, Xuan Tan, Patrick C. Kyllonen   +2 more
europepmc   +4 more sources

2PL Model: Compare Generalized Linear Mixed Model with Latent Variable Model based IRT framework

, 2021
Fitting item response theory (IRT) models using the generalized mixed logistic regression model (GLMM) has become more popular in large-scale assessment because GLMM allows combining complicated multilevel structures (i.e., students are nested in classrooms which are nested in schools) with IRT measurement models.
Jihong Zhang, Terry Ackerman, Yurou Wang
openaire   +3 more sources

Investigating Measurement Invariance by Means of Parameter Instability Tests for 2PL and 3PL Models [PDF]

Educational and Psychological Measurement, 2018
M-fluctuation tests are a recently proposed method for detecting differential item functioning in Rasch models. This article discusses a generalization of this method to two additional item response theory models: the two-parametric logistic model and the three-parametric logistic model with a common guessing parameter.
Debelak, Rudolf, Strobl, Carolin
openaire   +3 more sources