The SAGE Handbook of Quantitative Methodology

The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

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 Muelman, Anita J. Van der Kooj, and Willem J. Heiser
Testing and Measurement
Responsible Modeling of Measurement Data for Appropriate Inferences: Important Advances in Reliability and Validity Theory - Bruno D. Zumbo and Andre A. Rupp
Differential Item Functioning Analysis: Detecting DIF Items and Testing DIF Hypotheses - Louis Roussos and William Stout
Understanding Computerized Adaptive Testing: from Robbins-Monro to Lord, and Beyond - Hua-Hua Chang
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 Magdison and Jeroen K. Vermunt
Discrete-Time Survival Analsysis - John B. Willett and Judith D. Singer
Models for Multilevel Data
An Introduction to Growth Modeling - Donald Hedecker
Multilevel Models for School Effectiveness Research - Russell Rumberger and Gregory J. Palardy
The Use of Hierarchical Models in Analyzing Data from Experiments and Quasi-Experimental Conducted in Field Settings - Michael Seltzer
Meta-Analysis - Spyros Konstantopoulos and Larry V. Hedges
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 Muthen
Foundational Issues
Probabalistic Modeling with Bayesian Networks - Richard E. Neapolitan and Scott Morris
The Null Ritual: What You Always Wanted to Know About Significance Teting 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, Richard Scheines, Clark Glymour, Thomas Richardson, and Christopher Meek

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The SAGE Handbook of Quantitative Methodology for the Social Sciences

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Table of Contents

Supplemental Materials