Results 271 to 280 of about 3,216,591 (304)

Assessing Item Fit for Unidimensional Item Response Theory Models Using Residuals from Estimated Item Response Functions

Psychometrika, 2013
Residual analysis (e.g. Hambleton & Swaminathan, Item response theory: principles and applications, Kluwer Academic, Boston, 1985; Hambleton, Swaminathan, & Rogers, Fundamentals of item response theory, Sage, Newbury Park, 1991) is a popular method to assess fit of item response theory (IRT) models.
Haberman, Shelby J., Sinharay, Sandip, Chon, Kyong Hee   +2 more
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A Comparison of Item-Fit Statistics for the Three-Parameter Logistic Model

Applied Psychological Measurement, 2003
In this article, the Type I error rate and the power of a number of existing and new tests of fit to the 3-parameter logistic model (3PLM) are investigated. The first test is a generalization of a test for the evaluation of the fit to the 2-parameter logistic model (2PLM) based on the Lagrange multiplier (LM) test or the equivalent
Cees A. W. Glas
exaly   +3 more sources

Item Parameter Estimation and Item Fit Analysis

2009
Computer-based testing (CBT), as computerized adaptive testing (CAT), is based on the availability of a large pool of calibrated test items. Usually, the calibration process consists of two stages.
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Investigating the Local Fit of Item-Score Vectors

2003
This paper discusses a nonparametric approach for testing the local fit of an item-score vector by using the person response function Unlike most person-fit statistics, which test the fit of the complete pattern, the person response function indicates which subsets of items are misfitting.
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Likelihood-Based Item-Fit Indices for Dichotomous Item Response Theory Models

Applied Psychological Measurement, 2000
New goodness-of-fit indices are introduced for dichotomous item response theory (IRT) models. These indices are based on the likelihoods of number-correct scores derived from the IRT model, and they provide a direct comparison of the modeled and observed frequencies for correct and incorrect responses for each number-correct score.
Maria Orlando, David Thissen
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An Examination of Item Response Theory Item Fit Indices for the Graded Response Model

Organizational Research Methods, 2009
The current study examined the Type I error rates and power of several item response theory (IRT) item fit indices used in conjunction with the graded response model (GRM). Specifically, S — χ 2 , χ 2* , and adjusted χ 2
LaHuis, David M., Clark, Patrick C., O'Brien, Erin   +2 more
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Reliability of the Multi-Trial Items of the AAHPER Youth Fitness Test

Research Quarterly. American Association for Health, Physical Education and Recreation, 1969
(1969). Reliability of the Multi-Trial Items of the AAHPER Youth Fitness Test. Research Quarterly. American Association for Health, Physical Education and Recreation: Vol. 40, No. 1, pp. 240-245.
C, Marmis, H J, Montoye, D A, Cunningham, A J, Kozar   +3 more
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Global- and Item-Level Model Fit Indices

2019
One of the primary goals in cognitive diagnosis is to use the item responses from a cognitive diagnostic assessment to make inferences about what skills a test-taker has. Much of the research to date has focused on parametric inference in cognitive diagnosis models (CDMs), which requires that the parametric model used for inference does an adequate job
Zhuangzhuang Han, Matthew S. Johnson
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Evaluation of global testing procedures for item fit to the Rasch model

British Journal of Mathematical and Statistical Psychology, 2003
Two types of global testing procedures for item fit to the Rasch model were evaluated using simulation studies. The first type incorporates three tests based on first‐order statistics: van den Wollenberg's Q 1 test, Glas's R 1 test, and Andersen's LR ...
Juan C, Suárez-Falcón, Cees A W, Glas
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The Distributional Properties of Rasch Item Fit Statistics

Educational and Psychological Measurement, 1991
This study reports the results of an empirical investigation of the distributional properties of the item fit statistics that are commonly used in Rasch model calibration programs as indices of the fit of the responses to individual items to the measurement model. There are two aspects of this study: an investigation of the distributional properties of
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