Results 261 to 270 of about 3,216,591 (304)

Assessing item fit: A comparative study of frequentist and Bayesian frameworks

Measurement, 2016
Goodness of fit for item response theory (IRT) models in a frequentist and Bayesian framework are evaluated. The assumptions that are targeted are differential item functioning (DIF), local independence (LI), and the form of the item characteristics curve (ICC) in the one-, two-, and three parameter logistic models.
Khalid, Muhammad Naveed, Glas, Cees A.W.
openaire   +2 more sources

Discrepancy measures for item fit analysis in item response theory

Journal of Statistical Computation and Simulation, 2011
Item response theory (IRT) models are commonly used in educational and psychological testing to assess the (latent) ability of examinees and the effectiveness of the test items in measuring this underlying trait. The focus of this paper is on the assessment of item fit for unidimensional IRT models for dichotomous items using a Bayesian method.
S. G. Toribio, J. H. Albert
openaire   +1 more source

All the items fit to print

Communications of the ACM, 2013
3D printing has come of age. It promises to revolutionize a wide range of industries and profoundly change the way people buy and consume.
openaire   +1 more source

An NCME Instructional Module on Item-Fit Statistics for Item Response Theory Models

Educational Measurement: Issues and Practice, 2015
Drawing valid inferences from item response theory (IRT) models is contingent upon a good fit of the data to the model. Violations of model‐data fit have numerous consequences, limiting the usefulness and applicability of the model. This instructional module provides an overview of methods used for evaluating the fit of IRT models. Upon completing this
Randall Penfield
exaly   +2 more sources

The Relationship Between Item Parameters and Item Fit

Journal of Educational Measurement, 2004
The effect of item parameters (discrimination, difficulty, and level of guessing) on the item‐fit statistic was investigated using simulated dichotomous data. Nine tests were simulated using 1,000 persons, 50 items, three levels of item discrimination, three levels of item difficulty, and three levels of guessing.
openaire   +1 more source

A Further Look at the Correlation Between Item Parameters and Item Fit Statistics

Journal of Educational Measurement, 2008
Dodeen (2004) studied the correlation between the item parameters of the three‐parameter logistic model and two item fit statistics, and found some linear relationships (e.g., a positive correlation between item discrimination parameters and item fit statistics) that have the potential for influencing the work of practitioners who employ item response
Sandip Sinharay, Ying Lu
openaire   +1 more source

Bayesian item fit analysis for unidimensional item response theory models

British Journal of Mathematical and Statistical Psychology, 2006
Assessing item fit for unidimensional item response theory models for dichotomous items has always been an issue of enormous interest, but there exists no unanimously agreed item fit diagnostic for these models, and hence there is room for further investigation of the area. This paper employs the posterior predictive model‐checking
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A Person Fit Test for IRT Models for Polytomous Items

Psychometrika, 2007
A 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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The Effect of Interactions between Item Discrimination and Item Difficulty on Fit Statistics.

Journal of applied measurement, 2021
Residual-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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Constructing the 32-item Fitness-to-Drive Screening Measure

OTJR: Occupational Therapy Journal of Research, 2017
The 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, Sherrilene, Classen, Andrew M, Johnson   +2 more
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