Quantitative methodology is a highly specialized field. This handbook is intended to introduce applied statisticians, empirical researchers & graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences.

Section I.Scaling -- Dual Scaling / Shizuhiko Nishisato -- Multidimensional Scaling and Unfolding of Symmetric and Asymmetric Proximity Relations / Willem J. Heiser and Frank M.T.A. Busing -- Principal Components Analysis with Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data / Jacqueline J. Meulman, Anita J. Van der Kooij, and Willem J. Heiser -- Section II. Testing and Measurement -- Responsible Modeling of Measurement Data For Appropriate Inferences : Important Advances in Reliability and Validity Theory / Bruno D. Zumbo & André A. Rupp -- Test Modeling / Ratna Nandakumar and Terry Ackerman -- Differential Item Functioning Analysis : Detecting DIF Items and Testing DIF Hypotheses / Louis A. Roussos and William Stout -- Understanding Computerized Adaptive Testing : From Robbins-Monro to Lord, and Beyond / Hua-Hua Chang -- Section III. Models for Categorical Data -- Trends in Categorical Data Analysis : New, Semi-new, and Recycled Ideas / David Rindskopf -- Ordinal Regression Models / Valen E. Johnson and James H. Albert -- Latent Class Models / Jay Magidson and Jeroen K. Vermunt -- Discrete-Time Survival Analysis / John B. Willett and Judith D. Singer -- Section IV. Models For Multilevel Data -- An Introduction to Growth Modeling / Donald Hedeker -- Multilevel Models for School Effectiveness Research / Russell W. Rumberger and Gregory J. Palardy -- The Use of Hierarchical Models in Analyzing Data From Experiments and Quasi-Experiments Conducted in Field Settings / Michael Seltzer -- Meta-analysis / Spyros Konstantopoulos and Larry V. Hedges -- Section V. Models For Latent Variables -- Determining the Number of Factors in Exploratory and Confirmatory Factor Analysis / Rick H. Hoyle and Jamieson L. Duvall -- Experimental, Quasi-Experimental, and Nonexperimental design and Analysis with Latent Variables / Gregory R. Hancock -- Applying Dynamic Factor Analysis in Behavioral and Social Science Research / John R. Nesselroade and Peter C.M. Molenaar -- Latent Variable Analysis : Growth Mixture Modeling and Related Techniques For Longitudinal Data / Bengt Muthén -- Section VI. Foundational Issues -- Probabilistic Modeling with Bayesian Networks / Richard E. Neapolitan and Scott Morris -- The Null Ritual : What You Always Wanted to Know About Significance Testing but Were Afraid to Ask / Gerd Gigerenzer, Stefan Krauss, and Oliver Vitouch -- On Exogeneity / David Kaplan -- Objectivity in Science and Structural Equation Modeling / Stanley A. Mulaik -- Causal Inference / Peter Spirtes [and others].