Theory and Practice of Item Response Theory, Second Edition

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A01=Bruno D. Zumbo
A01=David J. Weiss
A01=Mark Reckase
A01=R. J. de Ayala
A01=Scott Hofer
advanced item response modelling
advanced psychometrics texts
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applied statistics
Author_Bruno D. Zumbo
Author_David J. Weiss
Author_Mark Reckase
Author_R. J. de Ayala
Author_Scott Hofer
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Category1=Non-Fiction
Category=JMB
classes
classical test theory
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educational measurement
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eq_nobargain
eq_non-fiction
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fit statistics
flexMIRT
graduate courses
intermediate
introduction to IRT
Language_English
latent trait models
latent variable analysis
modern measurement
multidimensional scaling
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Price_€50 to €100
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psychometric software applications
psychometricians
psychometrics
Rasch models
softlaunch
testing
tests and measurement

Product details

  • ISBN 9781462547753
  • Weight: 1320g
  • Dimensions: 178 x 254mm
  • Publication Date: 27 May 2022
  • Publisher: Guilford Publications
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Noted for addressing both the "hows" and "whys" of item response theory (IRT), this text has been revised and updated with the latest techniques (multilevel models, mixed models, and more) and software packages. Simple to more complex models are covered in consistently formatted chapters that build sequentially. The book takes the reader from model development through the fit analysis and interpretation phases that would be performed in practice. To facilitate understanding, common data sets are used across chapters, with the examples worked through for increasingly complex models. Exemplary model applications include free (BIGSTEPS, NOHARM, Facets, R packages) and commercial (BILOG-MG, flexMIRT, SAS, WINMIRA, SPSS, SYSTAT) software packages. The companion website provides data files and online-only appendices.

New to This Edition
*Chapter on multilevel models.
*New material on loglinear models, mixed models, the linear logistic trait model, and fit statistics.
*Many additional worked-through examples.
*Updated guidance on software; now includes R, SAS, and flexMIRT.

R. J. de Ayala, PhD, is Professor of Quantitative, Qualitative, and Psychometric Methods and Director of the Institutional Research Master's Program in the College of Educational and Human Sciences at the University of Nebraska–Lincoln (UNL). His research interests include psychometrics, item response theory, computerized adaptive testing, applied statistics, and multilevel models. His work has appeared in Applied Psychological Measurement, Applied Measurement in Education, the British Journal of Mathematical and Statistical Psychology, Educational and Psychological Measurement, the Journal of Applied Measurement, and the Journal of Educational Measurement. He is a Fellow of the American Psychological Association’s Division 5: Evaluation, Measurement, and Statistics and of the American Educational Research Association. He is a recipient of a Big 12 Faculty Fellowship and holds a Gallup Research Professorship at UNL.

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