Bayesian Item Response Modeling: Theory and Applications (Google eBook)

Front Cover
Springer, May 19, 2010 - Mathematics - 327 pages
1 Review
The purpose of the book is to serve as a handbook for measurement specialists as well as to serve as a textbook for students in classes on the Bayesian approach to modern test theory. The book will also serve as a guide to the authorsí computer software implementations that will be made available via a website. This software supports the computation of the various models described in the book and can support readers in their own developmental work in IRT using advanced Bayesian techniques/models. The software implementations will be made available in the popular statistical packages Splus and R. The implemented new functions are built on Fortran code that is linked to the Splus and R environments. This approach leads to considerable reduction of computation time.
  

What people are saying - Write a review

We haven't found any reviews in the usual places.

Related books

Contents

1 Introduction to Bayesian Response Modeling
1
2 Bayesian Hierarchical Response Modeling
31
3 Basic Elements of Bayesian Statistics
45
4 Estimation of Bayesian Item Response Models
67
5 Assessment of Bayesian Item Response Models
107
6 Multilevel Item Response Theory Models
141
7 Random Item E ects Models
193
8 Response Time Item Response Models
227
9 Randomized Item Response Models
255
References
289
Index
309
Copyright

Common terms and phrases

Bibliographic information