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Testlet response theory and its applications / Howard Wainer, Eric T. Bradlow, Xiaohui Wang.

By: Contributor(s): Material type: TextTextPublication details: Cambridge : Cambridge University Press, 2007.Description: 1 online resource (xi, 267 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0521862728
  • 9780521862721
  • 0511278551
  • 9780511278556
  • 9780511279157
  • 0511279159
  • 9780511618765
  • 051161876X
  • 0511277385
  • 9780511277382
  • 0511277970
  • 9780511277979
  • 9786610850389
  • 6610850380
  • 1107168724
  • 9781107168725
  • 1280850388
  • 9781280850387
  • 0511321430
  • 9780511321436
Subject(s): Genre/Form: Additional physical formats: Print version:: Testlet response theory and its applications.DDC classification:
  • 371.26 22
LOC classification:
  • LB3060.77 .W35 2007eb
Other classification:
  • DO 1200
  • MR 2800
  • SK 850
  • 5,3
Online resources:
Contents:
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.
Summary: The first comprehensive description of a scoring model for tests composed of smaller tests focusing on narrow topics.
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Electronic-Books Electronic-Books 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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