Applied psychometrics
All material presented in the course is available to download on this page. No additional resources are necessary, unless you want to go your way beyond what is being covered during the classes.
Remark. As a general advice, always try to work with the latest R version (currently, 2.10.1, 2009-12-14), read the R news and save all your commands in dedicated text file(s); also don't forget to save your R workspace when you're done.
These are draft chapters of forthcoming tutorials in Psychometrics
(targeting a broad audience, including practicians as well
as statisticians).
See History details to see how it evolves.
Lectures slides
(Slides and handouts include invisible hyperlinks so that you can conveniently navigate across references. Handouts are 2x2 black and white.)
News: As of March, 2010, Chapters 3 and 4 will be almost finished. Chapters 1 and 2 are expected to be drafted by the end of March, and probably most part of Chapter 7.
- Introduction to quantitative measurement: Psychophysics vs. Psychometrics, screen | printing (11 pp.)
Note: This chapter also includes a discussion about Test development, which could be considered as an independent chapter. - Classical test theory: Main concepts, screen | printing
Readings: - Classical test theory: Reliability, screen | printing (16 pp.)
Readings: [NUN94], chap. 6 and 7; [DUN00], chap. 2; [RAO07], chap. 4 - Classical test theory: Validity issues, screen | printing (17 pp.)
Readings: [NUN94], chap. 3; [DUN00], chap. 3; [RAO07], chap. 3 - Correlation, Factor Analysis and related methods, screen | printing
- Structural Equation Modeling, screen | printing
- Item response theory, screen | printing
Readings: - Extension of the Rasch model: multidimensional IRT, explanatory IRT, DIF analysis, equating, screen | printing
Textbook
Here is the latest draft of the textbook, which is basically a collapsed version of the slides below, but with additional material:Recommended readings
[NUN94] Nunnally, J.C. and Bernstein, I.H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill Series in Psychology.[DUN00] Dunn, G. (2000). Statistics in Psychiatry. Hodder Arnold.
[RAO07] Rao, C.R. and Sinharay, S., Eds. (2007). Handbook of Statistics, Vol. 26: Psychometrics. Elsevier Science B.V.
[BOO01] Boomsma, A., van Duijn, M.A.J., and Snijders, T.A.B. (2001). Essays on Item Response Theory. Lecture Notes in Statistics 157, Springer.
[SKR04] Skrondal, A. and Rabe-Hesketh, S. (2004). Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models. Chapman & Hall/CRC.
[ROS97] Rost, J. and Langeheine, R. Eds. (1997). Applications of latent trait and latent class models in the social sciences. New York: Waxmann. Available online
[KLI05] Kline, R.B. (2005). Principles and Practice of Structural Equation Modeling (2nd ed.). Guilford.
[BOE04] De Boeck, P. and Wilson, M. (2004). Explanatory Item Response Models. Springer. See also my own R stuff around this book
[STR08] Streiner, D.L. and Norman, G.R. (2008). Health Measurement Scales. A practical guide to their development and use (4th ed.). Oxford
Additional topics
- Psychometrics with the R statistical software
- Techniques for IRT parameters estimation (French)
- Patients reported outcomes (PROs) assessment
- Cross-cultural issues
- Psychometrics for educational testing (French)
- Item banking and Adaptive testing
- A recent list of issues from Health and Quality of Life Outcomes (bibtex file converted to rss feed)
Last updated on 2010/03/01, 11:03am