EDMS 738, Fall 2007

Prof. Robert Mislevy

 

Reading List

 

Chapters from the following in-progress volumes will be made available to the class:

Almond, R.G., Mislevy, R.J., Steinberg, L.S., Williamson, D.M., & Yan, D. (in progress).  Bayesian networks in educational assessment.  New York : Springer-Verlag. [password required]

Mislevy, R.J., Mazzeo, J., Lim, B. S-K., & Kulick, E. (in progress).  Design, analysis, and reporting in large-scale assessment.  New York : Springer-Verlag. [password required]

Levy, R. Bayesian inference in educational measurement. [password required]

 

Computer programs and documentation available on the Web (freeware)

 

BUGS (Bayesian inference using Gibbs sampling). http://www.mrc-bsu.cam.ac.uk/bugs/welcome.shtml

MSBNx (Microsoft Bayesian Network editor). http://research.microsoft.com/adapt/MSBNx/default.asp

Netica (Bayes net software--limited free version) http://www.norsys.com/netica.html

 

Articles and Research Reports

Edwards, W. (1998). Hailfinder. Tools for and experiences with Bayesian normative modeling. American Psychologist, 53, 416 – 428. [password required]

Mislevy, R.J. (1994).  Evidence and inference in educational assessment.  Psychometrika, 59, 439-483. Online version available as http://www.cse.ucla.edu/products/Reports/TECH414.pdf

Mislevy, R.J., & Gitomer, D.H. (1996).  The role of probability-based inference in an intelligent tutoring system.    User-Modeling and User-Adapted Interaction, 5, 253-282.  Online version available as http://www.cse.ucla.edu/products/Reports/TECH413.pdf

Mislevy, R.J., Wilson , M.R., Ercikan, K., & Chudowsky, N. (2003).  Psychometric principles in student assessment.  In T. Kellaghan & D. Stufflebeam (Eds.), International Handbook of Educational Evaluation (pp. 489-531). Dordrecht , the Netherlands : Kluwer Academic Press. Online version available as http://www.cse.ucla.edu/products/Reports/TR583.pdf

Mislevy, R.J., Steinberg, L.S., Breyer, F.J., Almond, R.G., & Johnson, L. (2002).  Making sense of data from complex assessments.  Applied Measurement in Education, 15, 363-378.  Online version available as http://www.cse.ucla.edu/products/Reports/TECH538.pdf

Sinharay, S. (2003).  Assessing convergence of the Markov chain Monte Carlo algorithms: A review. Research Report RR-03-07.  Princeton , NJ : Educational Testing Service. Online version available as http://www.ets.org/Media/Research/pdf/RR-03-07-Sinharay.pdf

Sinharay, S., & Johnson, M. (2003).  Simulation studies applying posterior predictive model checking for assessing fit of the common item response theory models. http://www.ets.org/Media/Research/pdf/RR-03-28-Sinharay.pdf