Testlet response theory and its applications / Howard Wainer, Eric T. Bradlow, Xiaohui Wang.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 0521862728
- 9780521862721
- 0511278551
- 9780511278556
- 9780511279157
- 0511279159
- 9780511618765
- 051161876X
- 0511277385
- 9780511277382
- 0511277970
- 9780511277979
- 9786610850389
- 6610850380
- 1107168724
- 9781107168725
- 1280850388
- 9781280850387
- 0511321430
- 9780511321436
- 371.26 22
- LB3060.77 .W35 2007eb
- DO 1200
- MR 2800
- SK 850
- 5,3
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OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes bibliographical references (pages 251-260) and indexes.
pt. I, Introduction to testlets. Introduction -- True score theory -- Item response theory -- What's a testlet and why do we need them? -- The origins of testlet response theory : three alternatives -- Fitting testlets with polytomous IRT models -- pt. II, -- Bayesian testlet response theory. A brief history and the basic ideas of modern testlet response theory -- The 2-PL Bayesian testlet model -- The 3-PL Bayesian testlet model -- A Bayesian testlet model for a mixture of binary and polytomous data -- A Bayesian testlet model with covariates -- Testlet nonresponse theory: dealing with missing data -- pt. III, Two applications and a tutorial. Using posterior distributions to evaluate passing scores: the PPoP curve -- A Bayesian method for studying DIF: a cautionary tale filled with surprises and delights -- A Bayesian primer.
The first comprehensive description of a scoring model for tests composed of smaller tests focusing on narrow topics.
Print version record.
English.
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