Table Of Content

Mariano, Louis T. See Lockwood, J. R. McCaffrey, Daniel F. See Lockwood, J. R. McDonald, Roderick P. Profiles in Research Interview by Howard Wainer and Daniel H. Robinson, No. 3, p. 315. McHorney, Colleen A. See Monahan, Patrick O. Monahan, Patrick O. Odds Ratio, Delta, ETS Classification, and Standardization Measures of DIF Magnitude for Binary Logistic Regression, No. 1, p. 92. Perkins, Anthony J. See Monahan, Patrick O. Qian, Jiahe. See Haberman, Shelby J. Rabe-Hesketh, Sophia. See Skrondal, Anders. Rocher, Thierry. See Goldstein, Harvey. Samejima, Fumiko. Profiles in Research Interview by Howard Wainer and Daniel H. Robin- son, No. 2, p. 206. Setodji, Claude. See Lockwood, J. R. Sinharay, Sandip. See von Davier, Matthias. Skrondal, Anders. Redundant Overdispersion Parameters in Multilevel Models for Cate- gorical Responses, No. 4, 419. Stump, Timothy E. See Monahan, Patrick O. Thomas, D. Roland. Point Estimates and Confidence Intervalfso r Variable Importance in Multiple Linear Regression, No. 1, p. 61. van der Linden, Wim J. Conditional Item-Exposure Control in Adaptive Testing Using ltem- Ineligibility Probabilities, No. 4, p. 398. Veldkamp, Bernard P. See van der Linden, Wim J. Viechtbauer, Wolfgang. Approximate Confidence Intervals for Standardized Effect Sizes in the Two-Independent and Two-Dependent Samples Design, No. 1, p. 39. von Davier, Matthias. An Importance Sampling EM Algorithm for Latent Regression Mod- els, No. 3, p. 233. Zhu, PengCheng. See Thomas, D. Roland. Journal of Educational and Behavioral Statistics December 2007, Vol. 32, No. 4, pp. 450-451 DOI: 10.3102/1076998610078350 © 2007 AERA. http://jebs.aera.net Keyword Index (Volume 32) adaptive testing 4:398 hierarchical model 4:419 asymptotic variances 1:61 automatic essay scoring 1:6 international comparisons 3:252 intraclass correlations 2:151 Bayesian estimation 2:125 item eligibility method 4:398 Bayesian hierarchical models 3:287 item response model 3:252 Bonferroni intervals 1:61 item response theory 3:287, 4:371 characteristic curve method 4:371 Kelley’s formula 1:6 cluster-randomized trials 2:151, 4:341 concurrent versus separate calibration Lagrange multiplier tests 1:24 4:371 latent regression 3:233 conditional item-exposure control 4:398 layered model 2:125 confidence intervals 1:39 local independence 1:24 correlation 2:180 logistic regression 1:92 criterion function 4:371 cross-classified multiple-membership data 2:125 Markov Chain Monte Carlo 2:125, 3:252 maximum likelihood 1:110 mean squared error 1:6 differential item functioning 1:92 meta-analysis 2:180, 4:341 Monte Carlo study 2:180 educational assessment 3:252 multilevel experiments 4:341 effect size(s) 1:39, 1:92, 4:341 multilevel model(s) 2:151, 3:252, 4:419 extrabinomial variation 4:419 NAEP 3:233 Newton-Raphson 1:1 10 factor analysis model 3:252 normalized Pratt measures 1:61 generalized estimating equations 4:419 overdispersion 4:419 generalized least squares 2:180 generalized linear mixed model 4:419 group-randomized trials 4:341 parameter estimation 1:110 quasi-likelihood 4:419 standardized mean difference 1:39 stochastic integration 3:233 structural equation model(ing) 1:110, Rasch models 1:24 3:252 rater bias 3:287 relative importance 1:61 reliability 1:6 teacher effects 2:125 repeated measures 3:287 teaching statistics 1:110 two-dependent samples design 1:39 two-independent samples design 1:39 scale linking 4:371 scale parameter 4:419 significance tests 2:151 underdispersion 4:419 simultaneous confidence intervals 1:61 uniform exposure rates 4:398 speed tests 1:24