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The SAGE Handbook of Quantitative Methodology for the Social Sciences - David W. Kaplan

The SAGE Handbook of Quantitative Methodology for the Social Sciences

By: David W. Kaplan (Editor)

Hardcover

Published: 21st June 2004
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Published: 21st June 2004
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Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.

"The 24 chapters in this Handbook span a wide range of topics, presenting the latest quantitative developments in scaling theory, measurement, categorical data analysis, multilevel models, latent variable models, and foundational issues. Each chapter reviews the historical context for the topic and then describes current work, including illustrative examples where appropriate. The level of presentation throughout the book is detailed enough to convey genuine understanding without overwhelming the reader with technical material. Ample references are given for readers who wish to pursue topics in more detail. The book will appeal to both researchers who wish to update their knowledge of specific quantitative methods, and students who wish to have an integrated survey of state-of- the-art quantitative methods." -- Roger E. Millsap
"This handbook discusses important methodological tools and topics in quantitative methodology in easy to understand language. It is an exhaustive review of past and recent advances in each topic combined with a detailed discussion of examples and graphical illustrations. It will be an essential reference for social science researchers as an introduction to methods and quantitative concepts of great use." -- Irini Moustaki
"David Kaplan and SAGE Publications are to be congratulated on the development of a new handbook on quantitative methods for the social sciences. The Handbook is more than a set of methodologies, it is a journey. This methodological journey allows the reader to experience scaling, tests and measurement, and statistical methodologies applied to categorical, multilevel, and latent variables. The journey concludes with a number of philosophical issues of interest to researchers in the social sciences. The new Handbook is a must purchase." -- Neil H. Timm
"David Kaplan has convened a panel of top-notch methodologians, who take on the challenge in the writing of The SAGE Handbook of Quantitative Methodology for the Social Sciences (SHQM). The result is an engrossing collection of chapters that are sure to add screwdrivers, wrenches, and the occasional buzzsaw to your toolbox. A notable strength of the SHQM is the generally structure of each chapter. The chapters of the SHQM are a worthy accomplishment. The SHQM is both well conceived and well executed, providing the reader with numerous insights and a broader sense for the available tools of the quantitative methodological trade. It is most likely that few readers will have the opportunity to read this book from cover to cover, but should they feel so inspired, they will find the effort both rewarding and thought provoking." -- Derek Briggs * September 2006 *
"The Handbook provides an excellent introduction to broad range of state-of-the-art quantitative methods applicable to the social sciences. It shows the breadth and depth of advanced quantitative methods used by social scientists from numerous interrelated disciplines, it is rich with examples of real-world applications of these methods, and it provides suggestions for further readings and study in these areas. It is well worth reading cover-to-cover, and it is a very useful addition to the reference libraries of all quantitative social scientists, applied statisticians, and graduate students." -- John G. Orme

Preface
Acknowledgments
Scaling
Dual Scaling
Multidimensional Scaling and Unfolding of Symmetric and Asymmetric Proximity Relations
Principal Components Analysis With Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data
Testing and Measurement
Responsible Modeling of Measurement Data for Appropriate Inferences: Important Advances in Reliability and Validity Theory
Test Modeling
Differential Item Functioning Analysis: Detecting DIF Items and Testing DIF Hypotheses
Understanding Computerized Adaptive Testing: from Robbins-Monro to Lord and Beyond
Models for Categorical Data
Trends in Categorical Data Analysis: New, Semi-New, and Recycled Ideas
Ordinal Regression Models
Latent Class Models
Discrete-Time Survival Analysis
Models for Multilevel Data
An Introduction to Growth Modeling
Multilevel Models for School Effectiveness Research
The Use of Hierarchical Models in Analyzing Data from Experiments and Quasi-Experiments Conducted in Field Settings
Meta-Analysis
Models for Latent Variables
Determining the Number of Factors in Exploratory and Confirmatory Factor Analysis
Experimental, Quasi-Experimental, and Nonexperimental Design and Analysis with Latent Variables
Applying Dynamic Factor Analysis in Behavioral and Social Science Research
Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
Foundational Issues
Probabalistic Modeling with Bayesian Networks
The Null Ritual: What You Always Wanted to Know About Significance Testing but Were Afraid to Ask
On Exogeneity
Objectivity in Science and Structural Equation Modeling
Causal Inference
Index
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9780761923596
ISBN-10: 0761923594
Audience: Tertiary; University or College
Format: Hardcover
Language: English
Number Of Pages: 528
Published: 21st June 2004
Publisher: SAGE Publications Inc
Country of Publication: US
Dimensions (cm): 25.4 x 17.7  x 3.18
Weight (kg): 1.11