The ReviewerÆs Guide to Quantitative Methods in the Social Sciences

by Hancock; Greg

• ISBN13: 9780415965088
• ISBN10: 041596508X
• Edition: 1st
• Format: Nonspecific Binding
• Copyright: 2010-02-12
• Publisher: Routledge

Summary

The Reviewer's Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique's key principles, appropriate usage, underlying assumptions, and limitations. It thereby assists reviewers to offer constructive commentary on works they evaluate, and also serves as an indispensable author's reference for preparing sound research manuscripts and proposals. Key features include:Thirty-one chapters cover virtually all of the popular classic and emerging quantitative techniques , thus helping reviewers to evaluate a manuscript's methodological approach and it's data analysis. In addition, the volume serves as an indispensable reference tool for those designing their own research.For ease of use, all chapters follow the same structure:the opening page of each chapter defines and explains the purpose of that statistical methodthe next one or two pages provide a table listing various criteria that should be considered when evaluating and applying that methodological approach to data analysisthe remainder of each chapter contains numbered sections corresponding to the numbered criteria listed in the opening table. Each section explains the role and importance of that particular criterion.Chapters are written by methodological and applied scholars who are expert in the particular quantitative method being reviewed.

Author Biography

Gregory R. Hancock is Professor and Chair of the Department of Measurement, Statistics, and Evaluation at the University of Maryland and is Director of their Center for Integrated Latent Variable Research. Ralph O. Mueller is Professor and Dean of the College of Education, Nursing, and Health Professions at the University of Hartford, Connecticut.

Table of Contents

List of Figures	p. x
List of Tables	p. xi
Preface	p. xiii
Acknowledgements	p. xvi
Analysis of Variance: Between-Groups Designs	p. 1
Analysis of Variance: Repeated Measures Designs	p. 15
Canonical Correlation Analysis	p. 29
Cluster Analysis	p. 41
Correlation and Other Measures of Association	p. 55
Discriminant Analysis	p. 71
Effect Sizes and Confidence Intervals	p. 79
Factor Analysis: Exploratory and Confirmatory	p. 93
Generalizability Theory	p. 115
Hierarchical Linear Modeling	p. 123
Interrater Reliability and Agreement	p. 141
Item Response Theory	p. 155
Latent Class Analysis	p. 173
Latent Growth Curve Models	p. 185
Latent Transition Analysis	p. 199
Latent Variable Mixture Models	p. 209
Logistic Regression	p. 221
Log-Linear Analysis	p. 241
Meta-Analysis	p. 255
Multidimensional Scaling	p. 265
Multiple Regression	p. 281
Multitrait-Multimethod Analysis	p. 299
Multivariate Analysis of Variance	p. 315
Power Analysis	p. 329
Reliability and Validity of Instruments	p. 337
Research Design	p. 343
Single Subject Design and Analysis	p. 357
Structural Equation Modeling	p. 371
Structural Equation Modeling: Multisample Covariance and Mean Structures	p. 385
Survey Sampling, Administration, and Analysis	p. 397
Survival Analysis	p. 413
Lift of Contributors	p. 425
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