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, 2017
Because the actual values of the parameters of the items in a test are unknown, one of the tasks performed when a test is analyzed under item response theory is to estimate these parameters. The obtained item parameter estimates then provide information as to the technical properties of the test items.
F. Baker, Seock-Ho Kim
semanticscholar +2 more sources
Because the actual values of the parameters of the items in a test are unknown, one of the tasks performed when a test is analyzed under item response theory is to estimate these parameters. The obtained item parameter estimates then provide information as to the technical properties of the test items.
F. Baker, Seock-Ho Kim
semanticscholar +2 more sources
Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm
, 1981 estimation of item parameters, EM algorithm, item analysis, latent trait, dichotomous factor analysis, Law School Aptitude Test (LSAT),
R. D. Bock, M. Aitkin
semanticscholar +2 more sources
, 1995
The Introduction of this chapter sketches the problem of the estimation of item parameters and the notation in the ease of incomplete data. Then the joint, conditional, and marginal maximum likelihood methods are discussed. A final section briefly mentions a few other methods not based on likelihoods.
I. Molenaar
semanticscholar +3 more sources
The Introduction of this chapter sketches the problem of the estimation of item parameters and the notation in the ease of incomplete data. Then the joint, conditional, and marginal maximum likelihood methods are discussed. A final section briefly mentions a few other methods not based on likelihoods.
I. Molenaar
semanticscholar +3 more sources
Continuous Online Item Calibration: Parameter Recovery and Item Utilization
Psychometrika, 2017Parameter recovery and item utilization were investigated for different designs for online test item calibration. The design was adaptive in a double sense: it assumed both adaptive testing of examinees from an operational pool of previously calibrated items and adaptive assignment of field-test items to the examinees.
Ren, Hao +2 more
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Understanding item parameters in personality scales: An explanatory item response modeling approach
Personality and Individual Differences, 2018Although item parameters are essential in psychometric frameworks, such as item response theory (IRT), few theories are available to guide their psychological interpretation.
Ha-Yeoung Min +2 more
semanticscholar +1 more source
Educational and Psychological Measurement, 2002
The research in this article attempted to relate content features of personality items to item parameter estimates from Muraki’s partial credit model. Goldberg’s Adjective Checklist was administered to 329 participants to calibrate item parameters. These parameters were then related to item ratings of social desirability, item subtlety, frequency of ...
Michael J. Zickar, Karen L. Ury
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The research in this article attempted to relate content features of personality items to item parameter estimates from Muraki’s partial credit model. Goldberg’s Adjective Checklist was administered to 329 participants to calibrate item parameters. These parameters were then related to item ratings of social desirability, item subtlety, frequency of ...
Michael J. Zickar, Karen L. Ury
openaire +1 more source
A Grouped Ranking Model for Item Preference Parameter
Neural Computation, 2010Given a set of rating data for a set of items, determining preference levels of items is a matter of importance. Various probability models have been proposed to solve this task. One such model is the Plackett-Luce model, which parameterizes the preference level of each item by a real value.
Hideitsu Hino +2 more
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Item Pool Maintenance in the Presence of Item Parameter Drift
Journal of Educational Measurement, 1988Differential linear drift of item location parameters over a 10 ‐year period is demonstrated in data from the College Board Physics Achievement Test. The relative direction of drift is associated with the content of the items and reflects changing emphasis in the physics curricula of American secondary schools.
R. Darrell Bock +2 more
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Item Parameter Recovery: Sensitivity to Prior Distribution
Educational and Psychological Measurement, 2023Marginal maximum likelihood, a common estimation method for item response theory models, is not inherently a Bayesian procedure. However, due to estimation difficulties, Bayesian priors are often applied to the likelihood when estimating 3PL models, especially with small samples.
Christine E. DeMars, Paulius Satkus
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The Relationship Between Item Parameters and Item Fit
Journal of Educational Measurement, 2004The 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.
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