Table Of Content

Author/Title Index (Volume 27) Alf, Edward F., Jr., & Graf, Richard G. A New Maximum Likelihood Estimator for the Pop ulation Squared Multiple Correlation, No. 3 p. 292923 Andersen, Erling B. Residual Diagrams Basedo n a Remarkably Simple Result Concerning the Variances of Maximum Likelihood Estimators, No. | p. 19 Bonett, Douglas G. Sample Size Requirements for Testing and Estimating Coefficient Alpha, No 4p 335 Bradlow, Eric T., Hoch, Stephen J., & Hutchinson, J. Wesley. An Assessment of Basic Com puter Proficiency Among Active Internet Users: Test Construction, Calibration, Ante edents and Consequences, No. 3 p. 2332 7 Case, Susan M. See Swanson, David B Choi, Kilchan. See Seltzer, Michael Clauser, Brian E. See Swanson, David B Featherman, Carol. See Swanson, David B Friendly, Michael. Visions and Re-Visions of Charles Joseph Minard, No. | p. 31 Graf, Richard G. See Alf, Edward F., Jr Hoch, Stephen J. See Bradlow, Eric T Holland, Paul W. Two Measures of Change in the Gaps Between the CDFs of Test-Score Distributions, No lp 3 Hunter, Michael, & Takane, Yoshio. Constrained Principal Component Analysis: Various Applications, No 2p 105 Hutchinson, J Wesley See Bradlow, Eric 1 Jo, Booil. Estimation of Intervention Effects with Noncompliance: Alternative Model Spe ifications, No. 4 p 385 Johnson, Matthew S. See Patz, Richard J Junker, Brian. See Patz, Richard J Kaplan, David. Modeling Sustained Educational Change With Panel Data: The Case for Dynamic Multiplier Analysis, No. 2 p. 85 Kuang, Daniel. See Thissen, David Lim, Nelson. See Seltzer, Michael Lockwood, J. R., Louis, Thomas A., & McCaffrey, Daniel F. Uncertainty in Rank Estima n: Implications for Value-Added Modeling Accountability Systems, No. 3 p Louis, Thomas A. See Lockwood, J. R Maier, Kimberly S. Modeling Incomplete Scaled Questionnaire Data with a Partial Credit Hierarchical Measurement Model, No. 3 p. 271 Mariano, Louis T. See Patz, Richard J Mc alfrey Daniel F. See Lockwood, J. R Mealli, Fabrizia, & Rubin, Donald B. Discussion of “Estimatiofo n Intervention Effects with Noncompliance: Alternative Model Specification No. 4 p. 411 Novak, John. See Seltzer, Michael Nungester, Ronald J. See Swanson, David B Patz, Richard J., Junker, Brian, Johnson, Matthew S., & Mariano, Louis T. The Hierarchi Rater Model for Rated Test Items and its Application to Large-Scale mes O. See Rossi, Natasha ndskopf, David. /nfinite Parameter Estimate Problen No. 2? p. 147 Xiaohui, & Ramsay, JamesO he EM Algorithm, No. 3 p ealli, Fabrizia I; tem R>e sponse See Thisset Clauser, Brian I ase isan Nungester, Ronald J., & Featherman f Different ten ncetionit DI Using Hierarchical Logistic CK al dt is\ Imp ementation of t se Positive Rate in Multiple Ce Keyword Index (Volume 27) Accountability 3:255 Inverted hypothesis test 2:147 Assignment effects 4:385 Item response theory 2:163, 3 4:34] Bayesian analysis 2:18] Bias-variance trade-off 3:255 Latent response model 4:34] Boundary estimates 2:147 Linear statistical models 2:85 Logistic regression 2:147 CACE 4:385 Calibration 3:237 Manifold 3:29] puter proficiency 3:237 Markov Chain Monte Carlo 2:163, 2:18] rection for shrinkage 3:223 4:34] pondence analysis (CA) 2 Mathematica 1:31 Maximum likelihood estimator 3 sualization 1:31 Mean squared error 3:255 tial geometry 3:29] Meta-analysis 4:321 ntial item 1:53 Metropolis subchains 2:181 raphics 1:31 Missing data 3:271, 4:385 multipliers 2:85 ML-EM 4:385 ML estimation 1:19 tion policy 2:85 Multiple comparisons rate | al Bayes estimation functioning Multiple correlation 3:223 Multiple rating Multiple regre striction 4 : NAEP 1:3 Napoleonic wars | Noncompliance 4:385 Non-nested hypotheses Nonparametric 3:29] Parametric test scoring 3:23 Penalized likelihood 3:29] Percentile estimation 3:255 hical Bayes modeling Polytomous Rasch model 1:19 chical linear models 3:2 Population validity 3:223 il models | 3, 2 Pretreatment covariates 4:385 Principal component analysis (PCA) projection 2:105 il consistency 4:335 Rater consensus 4:34] val estimation 4:335 Rater consistency 4:34]4 Rater severity 4:34] Singular value decomposition (SVD) 2:105 Rating scale model 1:19 Statistical graphics 1:31 Residual diagrams 1:19 ft errors 2:181 Sample size determination 4:335 Teacher effects 3:255 Sensitivity analysis 2:18] Test-compromise 2:163 Shift models 1:3 Test reliability 4:335 2.99 Significance tests 3:223 Thematic cartography 1:31