Basics of Item Response Theory Using R

Basics of Item Response Theory Using R

Baker, Frank B.; Kim, Seock-Ho

Springer International Publishing AG

07/2018

174

Mole

Inglês

9783319853437

15 a 20 dias

454

Descrição não disponível.
Introduction.- Getting Started.- 1. The Item Characteristic Curve.- 2. Item Characteristic Curve Models.- 3. Estimating Item Parameters.- 4. The Test Characteristic Curve.- 5. Estimating an Examinee's Ability.- 6. The Information Function.- 7. Test Calibration.- 8. Specifying the Characteristics of a Test.- Appendix A: R Introduction.- Appendix B: Estimating Item Parameters under the Two-Parameter Model with Logistic Regression.- Appendix C: Putting the Three Tests on a Common Ability Scale: Test Equating.- References.- Index.
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ability parameter;binary items;classical test theory;dichotomously scored;difficulty parameter;discrimination parameter;guessing parameter;information function;invariance principle;item characteristic curve;item response theory;logistic model;maximum likelihood estimation;one-parameter model;probability of correct response;Rasch model;test calibration;test characteristic curve;three-parameter model;two-parameter model