Results 1 to 10 of about 376,522 (308)

On the Choice of the Item Response Model for Scaling PISA Data: Model Selection Based on Information Criteria and Quantifying Model Uncertainty [PDF]

open access: yesEntropy, 2022
In educational large-scale assessment studies such as PISA, item response theory (IRT) models are used to summarize students’ performance on cognitive test items across countries.
Alexander Robitzsch
doaj   +2 more sources

Linking Item Response Model Parameters. [PDF]

open access: yesPsychometrika, 2016
With a few exceptions, the problem of linking item response model parameters from different item calibrations has been conceptualized as an instance of the problem of test equating scores on different test forms. This paper argues, however, that the use of item response models does not require any test score equating. Instead, it involves the necessity
van der Linden WJ, Barrett MD.
europepmc   +4 more sources

Validation of response processes in medical assessment using an explanatory item response model [PDF]

open access: yesBMC Medical Education, 2022
Background Response process validation is a crucial source of test validity. The expected cognitive load scale was created based on the reflection of the mental effort by which borderline students solve an item defined by experts. The stem length affects
Veerapong Vattanavanit   +2 more
doaj   +2 more sources

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

open access: greenMathematics, 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   +3 more sources

Erratum to: Linking Item Response Model Parameters. [PDF]

open access: yesPsychometrika, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van der Linden WJ, Barrett MD.
europepmc   +4 more sources

Regularized Generalized Logistic Item Response Model

open access: yesInformation, 2023
Item response theory (IRT) models are factor models for dichotomous or polytomous variables (i.e., item responses). The symmetric logistic or probit link functions are most frequently utilized for modeling dichotomous or polytomous items. In this article,
Alexander Robitzsch
doaj   +1 more source

Item-Weighted Likelihood Method for Measuring Growth in Longitudinal Study With Tests Composed of Both Dichotomous and Polytomous Items

open access: yesFrontiers in Psychology, 2021
In this paper, a new item-weighted scheme is proposed to assess examinees’ growth in longitudinal analysis. A multidimensional Rasch model for measuring learning and change (MRMLC) and its polytomous extension is used to fit the longitudinal item ...
Xuemei Xue, Jing Lu, Jiwei Zhang
doaj   +1 more source

Polytomous Item Explanatory Item Response Theory Models [PDF]

open access: yesEducational 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

Bifactor item response theory model of acute stress response. [PDF]

open access: yesPLoS ONE, 2013
BACKGROUND: Better understanding of acute stress responses is important for revision of DSM-5. However, the latent structure and relationship between different aspects of acute stress responses haven't been clarified comprehensively.
Yebing Yang   +6 more
doaj   +1 more source

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