Preface
Acknowledgments
Section I: Scaling
Chapter 1: Dual Scaling Shizuhiko Nishisato
Chapter 2: Multidimensional Scaling and Unfolding of Symmetric and Asymmetric Proximity Relations Willem J. Heiser and Frank M.T.A. Busing
Chapter 3: Principal Components Analysis With Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data Jacqueline J. Muelman, Anita J. Van der Kooij, and Willem J. Heiser
Section II: Testing and Measurement
Chapter 4: Responsible Modeling of Measurement Data for Appropriate Inferences: Important Advances in Reliability and Validity Theory Bruno D. Zumbo and Andre A. Rupp
Chapter 5: Test Modeling Ratna Nandakumar and Terry Ackerman
Chapter 6: Differential Item Functioning Analysis: Detecting DIF Items and Testing DIF Hypotheses Louis A. Roussos and William Stout
Chapter 7: Understanding Computerized Adaptive Testing: from Robbins-Monro to Lord and Beyond Hua-Hua Chang
Section III: Models for Categorical Data
Chapter 8: Trends in Categorical Data Analysis: New, Semi-New, and Recycled Ideas David Rindskopf
Chapter 9: Ordinal Regression Models Valen E. Johnson and James H. Albert
Chapter 10: Latent Class Models Jay Magidson and Jeroen K. Vermunt
Chapter 11: Discrete-Time Survival Analysis John B. Willett and Judith D. Singer
Section IV: Models for Multilevel Data
Chapter 12: An Introduction to Growth Modeling Donald Hedecker
Chapter 13: Multilevel Models for School Effectiveness Research Russell W. Rumberger and Gregory J. Palardy
Chapter 14: The Use of Hierarchical Models in Analyzing Data from Experiments and Quasi-Experiments Conducted in Field Settings Michael Seltzer
Chapter 15: Meta-Analysis Spyros Konstantopoulos and Larry V. Hedges
Section V: Models for Latent Variables
Chapter 16: Determining the Number of Factors in Exploratory and Confirmatory Factor Analysis Rick H. Hoyle and Jamieson L. Duvall
Chapter 17: Experimental, Quasi-Experimental, and Nonexperimental Design and Analysis with Latent Variables Gregory R. Hancock
Chapter 18: Applying Dynamic Factor Analysis in Behavioral and Social Science Research John R. Nesselroade and Peter C. M. Molenaar
Chapter 19: Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data Bengt Muthen
Section VI: Foundational Issues
Chapter 20: Probabalistic Modeling with Bayesian Networks Richard E. Neapolitan and Scott Morris
Chapter 21: The Null Ritual: What You Always Wanted to Know About Significance Testing but Were Afraid to Ask Gerd Gigerenzer, Stefan Krauss, and Oliver Vitouch
Chapter 22: On Exogeneity David Kaplan
Chapter 23: Objectivity in Science and Structural Equation Modeling Stanley A. Mulaik
Chapter 24: Causal Inference Peter Spirtes, Richard Scheines, Clark Glymour, Thomas Richardson, and Christopher Meek
Index
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