Table of contents for The Sage handbook of quantitative methodology for the social sciences / David Kaplan, editor.


Bibliographic record and links to related information available from the Library of Congress catalog. Note: Contents data are machine generated based on pre-publication information provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.


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Preface	000
SECTION I	SCALING
Chapter 1 	Dual Scaling	000
Shizuhiko Nishisato
Chapter 2 	Multidimensional Scaling and Unfolding of Symmetric and Asymmetric Proximity Relations	000
Willem J. Heiser and Frank M.T.A. Busing
Chapter 3 	Principal Components Analysis with Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data	000
Jacqueline J. Meulman, 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	000
Bruno D. Zumbo & André A. Rupp
Chapter 5 	Test Modeling	000
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	000
Hua-Hua Chang
SECTION III 	MODELS FOR CATEGORICAL DATA
Chapter 8 	Trends in Categorical Data Analysis: New, Semi-new, and Recycled Ideas	000
David Rindskopf
Chapter 9 	Ordinal Regression Models	000
Valen E. Johnson and James H. Albert
Chapter 10	Latent Class Models	000
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	000
Donald Hedeker
Chapter 13	Multilevel Models for School Effectiveness Research	000
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	000
Michael Seltzer
Chapter 15	Meta-analysis	000
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	000
Rick H. Hoyle	 and Jamieson L. Duvall
Chapter 17 	Experimental, Quasi-Experimental, and Nonexperimental design and Analysis with Latent Variables	000
Gregory. R. Hancock
Chapter 18	Applying Dynamic Factor Analysis in Behavioral and Social Science Research	000
John R. Nesselroade and Peter C. M. Molenaar
Chapter 19 	Latent Variable Analysis: Growth Mixture Modeling and Related Techniques For Longitudinal Data	000
Bengt Muthén
SECTION VI	FOUNDATIONAL ISSUES
Chapter 20	Probabilistic Modeling with Bayesian Networks	000
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	000
Gerd Gigerenzer, Stefan Krauss, and Oliver Vitouch
Chapter 22	On Exogeneity	000
David Kaplan
Chapter 23	Objectivity in Science and Structural Equation Modeling	000
Stanley A. Mulaik
Chapter 24	Causal Inference	000
Peter Spirtes, Richard Scheines, Clark Glymour, Thomas Richardson, and Christopher Meek
Author Index	000
Subject Index	000
About the Contributors	000




Library of Congress Subject Headings for this publication: Social sciences Research Methodology, Social sciences Mathematical models