Psychometrika, 2009-03, Vol.74 (1), p.1-19
2009
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Details
- Autor(en) / Beteiligte
- Titel
- A New Concurrent Calibration Method for Nonequivalent Group Design under Nonrandom Assignment
- Ist Teil von
- Psychometrika, 2009-03, Vol.74 (1), p.1-19
- Ort / Verlag
- New York: Springer-Verlag
- Erscheinungsjahr
- 2009
- Quelle
- ERIC
- Beschreibungen/Notizen
- This study proposes a new item parameter linking method for the common-item nonequivalent groups design in item response theory (IRT). Previous studies assumed that examinees are randomly assigned to either test form. However, examinees can frequently select their own test forms and tests often differ according to examinees’ abilities. In such cases, concurrent calibration or multiple group IRT modeling without modeling test form selection behavior can yield severely biased results. We proposed a model wherein test form selection behavior depends on test scores and used a Monte Carlo expectation maximization (MCEM) algorithm. This method provided adequate estimates of testing parameters.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0033-3123eISSN: 1860-0980DOI: 10.1007/s11336-008-9076-xTitel-ID: cdi_proquest_journals_233253523
- Format
- –
- Schlagworte
- Algorithms, Assessment, Behavior, Behavioral Science and Psychology, Behavioral sciences, Biological and medical sciences, Calibration, Data Analysis, Estimates, Evaluation Methods, Fundamental and applied biological sciences. Psychology, Humanities, Item Response Theory, Law, Measurement Techniques, Methods, Missing data, Monte Carlo Methods, Parameter estimation, Psychology, Psychology. Psychoanalysis. Psychiatry, Psychology. Psychophysiology, Psychometrics, Psychometrics. Statistics. Methodology, Reading Comprehension, Research Methodology, Simulation, Statistical Theory and Methods, Statistics for Social Sciences, Statistics. Mathematics, Test Bias, Test Construction, Test Format, Test Items, Testing and Evaluation, Theory and Methods, Variables