Results 21 to 30 of about 400,137 (262)

Analyzing the Fit of IRT Models With the Hausman Test

open access: yesFrontiers in Psychology, 2020
In this manuscript, the applicability of the Hausman test to the evaluation of item response models is investigated. The Hausman test is a general test of model fit.
Jochen Ranger, Sören Much
doaj   +1 more source

Analysis of Model fit and Item Parameter of Mathematics National Examination Using Item Response Theory

open access: yesJPP (Jurnal Pendidikan dan Pembelajaran), 2019
This study aims to determine the compatibility of the item response theory models in Mathematics National Exam and to find out the estimated parameters of the items.
Aristiawan Aristiawan   +2 more
doaj   +1 more source

Comparison of unweighted and item response theory-based weighted sum scoring for the Nine-Questions Depression-Rating Scale in the Northern Thai Dialect

open access: yesBMC Medical Research Methodology, 2022
Background The Nine-Questions Depression-Rating Scale (9Q) has been developed as an alternative assessment tool for assessing the severity of depressive symptoms in Thai adults.
Suttipong Kawilapat   +8 more
doaj   +1 more source

Bayesian Analysis of a Quantile Multilevel Item Response Theory Model

open access: yesFrontiers in Psychology, 2021
Multilevel item response theory (MLIRT) models are used widely in educational and psychological research. This type of modeling has two or more levels, including an item response theory model as the measurement part and a linear-regression model as the ...
Hongyue Zhu, Wei Gao, Xue Zhang
doaj   +1 more source

A Monte Carlo study of IRTree models’ ability to recover item parameters

open access: yesFrontiers in Psychology, 2023
Item response tree (IRTree) models are theorized to extract response styles from self-report data by utilizing multidimensional item response theory (IRT) models based on theoretical decision processes.
Gene M. Alarcon   +2 more
doaj   +1 more source

The Value of Response Times in Item Response Modeling [PDF]

open access: yesMeasurement: Interdisciplinary Research and Perspectives, 2015
A new and very interesting approach to the analysis of responses and response times is proposed by Goldhammer (this issue). In this approach, differences in the speed-ability compromise within respondents are considered to confound the differences in ability between respondents.
openaire   +3 more sources

Item Response Analysis of a Structured Mixture Item Response Model with mirt Package in R

open access: yesPsych
Structured mixture item response models (StrMixIRMs) are a special type of constrained confirmatory mixture item response theory (IRT) model for detecting latent performance differences in a measurement instrument by characteristic item groups, and ...
Minho Lee, Yon Soo Suh, Minjeong Jeon
doaj   +1 more source

Bias-Corrected Root Mean Square Deviation Estimators

open access: yesFoundations
The root mean square deviation (RMSD) is a widely used item fit statistic in item response models. However, the sample RMSD is known to exhibit positive bias in small samples. To address this, seven alternative bias-corrected RMSD estimators are proposed
Alexander Robitzsch
doaj   +1 more source

Item pre-knowledge true prevalence in clinical anatomy - application of gated item response theory model

open access: yesBMC Medical Education, 2019
Background Computer and paper examinations in our days are constructed from an item pool which is regularly updated. Given the way that exams are created, one of the major concerns is the security of the items that are being used in order to ensure a ...
Milton Severo   +4 more
doaj   +1 more source

Using four-parameter item response theory to model human figure drawings [PDF]

open access: yesAvaliação Psicológica, 2018
This paper studied the application of an extended version of the Item Response Theory, the 4-parameter model (4PL), in the item analysis of Human Figure Drawing (HFD). HFD score drawing might serve as indicators of cognitive development.
Ricardo Primi   +2 more
doaj   +1 more source

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