Bayesian adaptive testing with polytomous items [PDF]
AbstractAn extremely efficient MCMC method for Bayesian adaptive testing with polytomous items is explained both conceptually and in mathematical detail. Results from extensive simulation studies with different item pools, polytomous response models, calibration sample sizes, and test lengths are presented.
Ren, Hao +2 more
openaire +4 more sources
Dimensionality assessment of ordered polytomous items with parallel analysis.
Parallel analysis (PA) is an often-recommended approach for assessment of the dimensionality of a variable set. PA is known in different variants, which may yield different dimensionality indications. In this article, the authors considered the most appropriate PA procedure to assess the number of common factors underlying ordered polytomously scored ...
Marieke E. Timmerman +1 more
openaire +4 more sources
Regularized Generalized Logistic Item Response Model
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
Comparison of confirmatory factor analysis estimation methods on mixed-format data
Weighted least squares (WLS), weighted least squares mean-and-variance-adjusted (WLSMV), unweighted least squares mean-and-variance-adjusted (ULSMV), maximum likelihood (ML), robust maximum likelihood (MLR) and Bayesian estimation methods were compared ...
Nuri Doğan, Abdullah Faruk Kılıç
doaj +1 more source
Polytomous Item Explanatory Item Response Theory Models [PDF]
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
Investigating an Invariant Item Ordering for Polytomously Scored Items [PDF]
This article discusses the concept of an invariant item ordering (IIO) for polytomously scored items and proposes methods for investigating an IIO in real test data. Method manifest IIO is proposed for assessing whether item response functions intersect. Coefficient HT is defined for polytomously scored items.
Ligtvoet, R. +3 more
openaire +3 more sources
Detection of Differential Item Functioning Magnitude in Psychological Measurement with Missing Data
The paper investigated the effectiveness of missing data methods in detecting differential item functioning magnitude in polytomous scored non-cognitive items with a view to determining different levels of magnitude existing in non-cognitive items and ...
Alexander Olayinka Oluwafemi
doaj +1 more source
Introducing the General Polytomous Diagnosis Modeling Framework
Although considerable developments have been added to the cognitive diagnosis modeling literature recently, most have been conducted for dichotomous responses only.
Jinsong Chen, Jimmy de la Torre
doaj +1 more source
Calibrating the Medical Council of Canada’s Qualifying Examination Part I using an integrated item response theory framework: a comparison of models and designs [PDF]
Purpose: The aim of this research was to compare different methods of calibrating multiple choice question (MCQ) and clinical decision making (CDM) components for the Medical Council of Canada’s Qualifying Examination Part I (MCCQEI) based on item ...
Andre F. De Champlain +2 more
doaj +1 more source
Detecting Differential Item and Step Functioning with Rating Scale and Partial Credit Trees [PDF]
Several statistical procedures have been suggested for detecting differential item functioning (DIF) and differential step functioning (DSF) in polytomous items.
Abou El-Komboz, Basil +2 more
core +1 more source

