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A Person Fit Test for IRT Models for Polytomous Items
Psychometrika, 2007A person fit test based on the Lagrange multiplier test is presented for three item response theory models for polytomous items: the generalized partial credit model, the sequential model, and the graded response model. The test can also be used in the framework of multidimensional ability parameters.
Glas, C..W., Dagohoy, Anna Villa T.
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Constructing the 32-item Fitness-to-Drive Screening Measure
OTJR: Occupational Therapy Journal of Research, 2017The Fitness-to-Drive Screening Measure © (FTDS) enables proxies to identify at-risk older drivers via 54 driving-related items, but may be too lengthy for widespread uptake. We reduced the number of items in the FTDS and validated the shorter measure, using 200 caregiver responses ...
Shabnam, Medhizadah +2 more
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The Effect of Interactions between Item Discrimination and Item Difficulty on Fit Statistics.
Journal of applied measurement, 2021Residual-based fit statistics are among the most common indicators of fit to the Rasch model. There is considerable discussion in the literature of the efficacy of item fit statistics in detecting measurement disturbances. However, to date there has been no investigation of whether these fit statistics are robust to interactions between item ...
Stephen Mark, Humphrey, Ken, Bredemeyer
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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. +2 more
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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. +2 more
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Item Parameter Estimation and Item Fit Analysis
2009Computer-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
2003This 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, 2000New 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, 2009The 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. +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 +3 more
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Global- and Item-Level Model Fit Indices
2019One 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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