Sample Size Requirements for Estimation of Item Parameters in the Multidimensional Graded Response Model [PDF]
Likert types of rating scales in which a respondent chooses a response from an ordered set of response options are used to measure a wide variety of psychological, educational, and medical outcome variables.
Shengyu eJiang +2 more
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Re-assessing the Psychometric Properties of Stress Appraisal Measure in Ghana Using Multidimensional Graded Response Model [PDF]
Despite the widespread use of the stress appraisal measure questionnaire in sport psychology literature, information on the psychometric properties of this survey instrument across different cultures and samples is still lacking.
Medina Srem-Sai +8 more
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Noncognitive constructs are commonly assessed in educational and organizational research. They are often measured by summing scores across items, which implicitly assumes a dominance item response process.
Naidan Tu +4 more
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Item parameter estimations for multidimensional graded response model under complex structures
Item parameter recovery in the compensatory multidimensional graded response model (MGRM) under simple and complex structures with rating-scale item response data was examined.
Olasunkanmi James Kehinde +2 more
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Performance of the S - χ 2 Statistic for the Multidimensional Graded Response Model. [PDF]
[Formula: see text] is a popular item fit index that is available in commercial software packages such as flexMIRT. However, no research has systematically examined the performance of [Formula: see text] for detecting item misfit within the context of the multidimensional graded response model (MGRM).
Su S, Wang C, Weiss DJ.
europepmc +3 more sources
Bayesian Estimation of a Multidimensional Additive Graded Response Model for Correlated Traits [PDF]
The aim of the article is to propose a Bayesian estimation through Markov chain Monte Carlo of a multidimensional item response theory model for graded responses with an additive structure with correlated latent traits. A simulation study is conducted to evaluate the model parameter recovery under different conditions (sample size, test and subtest ...
MARTELLI, IRENE +2 more
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As a branch of statistical latent variable modeling, multidimensional item response theory (MIRT) plays an important role in psychometrics. Multidimensional graded response model (MGRM) is a key model for the development of multidimensional computerized ...
Jianan Sun, Ziwen Ye, Lu Ren, Jingwen Li
doaj +3 more sources
Assessment of health surveys: fitting a multidimensional graded response model [PDF]
The multidimensional graded response model, an item response theory (IRT) model, can be used to improve the assessment of surveys, even when sample sizes are restricted. Typically, health-based survey development utilizes classical statistical techniques (e.g. reliability and factor analysis).
Sarah Depaoli +2 more
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A Multidimensional Item Response Theory Model for Continuous and Graded Responses With Error in Persons and Items [PDF]
Item response theory “dual” models (DMs) in which both items and individuals are viewed as sources of differential measurement error so far have been proposed only for unidimensional measures. This article proposes two multidimensional extensions of existing DMs: the M-DTCRM (dual Thurstonian continuous response model), intended for (approximately ...
Pere J. Ferrando +1 more
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Confirmatory Multidimensional IRT Unfolding Models for Graded-Response Items [PDF]
Most unfolding item response models for graded-response items are unidimensional. When there are multiple tests of graded-response items, unidimensional unfolding models become inefficient. To resolve this problem, the authors developed the confirmatory multidimensional generalized graded unfolding model, which is a multidimensional extension of the ...
Wen-Chung, Wang, Shiu-Lien, Wu
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