Description

The area of Psychometrics, a field encompassing the statistical methods used in Psychological and educational testing, has become a very important and active area of research, evident from the large body of literature that has been developed in the form of books, volumes and research papers. Mainstream statisticians also have found profound interest in the field because of its unique nature. This book presents a state of the art exposition of theoretical, methodological and applied issues in Psychometrics. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with recent challenging psychometric problems. Key Features/ - Emphasis on the most recent developments in the field - Plenty of real, often complicated, data examples to demonstrate the applications of the statistical techniques - Information on available software

Key Features

- Authors from the leading testing companies - Emphasis on the most recent developments in the field - Plenty of real, often complicated, data examples to demonstrate the applications of the statistical techniques - Information on available software

Readership

Psychometricians, Statisticians and Psychologists.

Table of Contents

Preface
Contributors
1. History and overview of psychometrics (L.V. Jones and D. Thissen)
2. Classical test theory (C. Lewis)
3. Validity: foundational issues and statistical methodology (B.D. Zumbo)
4. Reliability and generalizability theory (N.M. Webb, R.J. Shavelson and E.H. Haertel)
5. Differential item functioning and item bias (R.D. Penfield and G. Camilli)
6. Equating test scores (P.W. Holland, N.J. Dorans and N.S. Petersen)
7. Electronic essay grading (S.J. Haberman)
8. Some matrix results useful in psychometric research (C.R. Rao)
9. Factor Analysis (H. Yanai and M. Ichikawa)
10. Structural equation modeling (K.-H. Yuan and P.M. Bentler)
11. Applications of multidimensional scaling in psychometrics (Y. Takane)
12. Multilevel models in psychometrics (F. Steele and H. Goldstein)
13. Latent class analysis in psychometrics (C.M. Dayton and G.B. Macready)
14. Random-effects models for preference data (U. Böckenholt and R.-C. Tsai)
15. Item response theory in a general framework (R.D. Bock and I. Moustaki)
16. Rasch models (G.H. Fischer)
17. Hierarchicam item response theory models (M.S. Johnson, S. Sinharay and E.T. Bradlow)
18. Multidimensional item response theory (M.D. Reckase)
19. Mixture distribution item response models (M. von Davier and J. Rost)
20. Scoring open ended questions (G. Maris and T. Bechger)
21. Assessing the fit of item response theory models (H. Swaminathan, R.K. Hambleton and H.J. Rogers)
22. Nonparametric item response theory and special topics (K. Sijtsma and R.R. Meijer)
23. Automatic item generation and cognitive psychology (S. Embrets

Details

No. of pages:
1190
Language:
English
Copyright:
© 2007
Published:
Imprint:
North Holland
eBook ISBN:
9780080466705
Print ISBN:
9780444521033