For more than 40 years, SAGE has been one of the leading international publishers of works on quantitative research methods in the social sciences. This new collection provides readers with a representative sample of the best articles in quantitative methods that have appeared in SAGE journals as chosen by W. Paul Vogt, editor of other successful major reference collections such as Selecting Research Methods (2008) and Data Collection (2010). The volumes and articles are organized by theme rather than by discipline. Although there are some discipline-specific methods, most often quantitative research methods cut across disciplinary boundaries. Volume One: Fundamental Issues in Quantitative Research Volume Two: Measurement for Causal and Statistical Inference Volume Three: Alternatives to Hypothesis Testing Volume Four: Complex Designs for a Complex World

Table of Contents:
VOLUME 1: FUNDAMENTAL ISSUES IN QUANTITATIVE RESEARCH General orientations Ten Statisticians and Their Impacts for Psychologists - Daniel Wright Conversations about Three Things - Howard Wainer Minimally Sufficient Research - Christopher Peterson On Quantitizing - Margarete Sandelowski Experimental Methods The External Validity of Experiments - Glenn Bracht and Gene Glass Randomized Trials for the Real World: Making as Few and as Reasonable Assumptions as Possible - Stuart Baker and Barnett Kramer Having One′s Cake and Eating It, Too: Combining true experiments with regression discontinuity designs - Marvin Mandell Survey Research Capture-Recapture and Anchored Prevalence Estimation of Injecting Drug Users in England: National and regional estimates - Gordon Hay et al Constructing Summary Indices of Quality of Life: A model for the effect of heterogeneous importance weights - Michael Hagerty and Kenneth Land Advances in Age-Period-Cohort Analysis - Herbert Smith Selection Bias in Web Surveys and the Use of Propensity Scores - Matthias Schonlau et al Methods for Missing Data Estimation of Causal Effects via Principal Stratification When Some Outcomes Are Truncated by "Death" - Junni Zhang and Donald Rubin Multiple Imputation for Missing Data: A cautionary tale - Paul Allison Multiple Imputation: Current perspectives - Michael Kenward and James Carpenter Incomplete Hierarchical Data - Caroline Beunckens et al VOLUME 2: MEASUREMENT FOR CAUSAL AND STATISTICAL INFERENCE Measurement/Coding The Cost of Dichotomization - Jacob Cohen Fidelity Criteria: Development, measurement, and validation - Carol Mowbray et al Controlling Error in Multiple Comparisons, with Examples from State-to-State differences in Educational Achievement - Valerie Williams, Lyle Jones and John Tukey Surrogate Endpoint Validation: Statistical elegance versus clinical relevance - E.M. Green Causation Causation in the Social Sciences: Evidence, inference, and purpose - Julian Reiss Statistical Models for Causation: What inferential leverage do they provide? - David Freedman Identification of Causal Parameters in Randomized Studies with Mediating Variables - Michael Sobel Matching Estimators of Causal Effects: Prospects and pitfalls in theory and practice - Stephen Morgan and David Harding Suppressor Variables in Path Models - Gerard Massen and Arnold Baker Program Evaluation and Individual Assessment Are Simple Gain Scores Obsolete? - Richard Williams and Donald Zimmerman Ten Difference Score Myths - Jeffrey Edwards What Are Value-Added Models Estimating and What Does This Imply for Statistical Practice? - Stephen Raudenbush Setting Targets for Health Care Performance: Lessons from a case study of the English NHS - Gwyn Bevan Statistical Inference Correcting a Significance Test for Clustering - Larry Hedges The Insignificance of Null Hypothesis Significance Testing - Jeff Gill A Comparison of Statistical Significance Tests for Selecting Equating Functions - Tim Moses The Choice of Sample Size: A mixed Bayesian/frequentist approach - Hamid Pezeshk et al VOLUME 3: ALTERNATIVES TO HYPOTHESIS TESTING Confidence Intervals and Effect Sizes Toward Policy-Relevant Benchmarks for Interpreting Effect Sizes: Combining effects with costs - Douglas Harris Replication and p Intervals: p values predict the future only vaguely, but confidence intervals do much better - Geoff Cumming Confidence Intervals About Score Reliability Coefficients, Please - Xitao Fan and Bruce Thompson Finite Sampling Properties of the Point Estimates and Confidence Intervals of the RMSEA - Patrick Curran et al. Meta-analysis Integrating Findings: The meta-analysis of research - Gene Glass Reliability Generalization: Exploring variance in measurement error affecting score reliability across studies - Tammi Vacha-Haase The Relationship Between Sample Sizes and Effect Sizes in Systematic Reviews in Education - Robert Slavin and Dewi Smith An Exploratory Test for an Excess of Significant Findings - John Ioannidis and Thomas Trikalinos Expanded Information Retrieval Using Full-Text Searching - Ronald Kostoff Correlation and Regression Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition - Edward Vul et al How Is a Statistical Link Established Between a Human Outcome and a Genetic Variant? - Guang Guo and Daniel Adkins The Perils of Partialling - Donald Lynam et al Weighting Regressions by Propensity Scores - David Freedman and Richard Berk Logit and Probit Regression Comparing Logit and Probit Coefficients across Groups - Paul Allison An Additional Measure of Overall Effect Size for Logistic Regression Models - Jeff Allen and Huy Le The Intermediate Endpoint Effect in Logistic and Probit Regression - D.P. Mackinnon et al An Introduction to Crisp Set QCA with a Comparison to Binary Logistic Regression - Bernard Gofman and Carsten Schneider Categorical Data Analysis Univariate and Bivariate Loglinear Models for Discrete Test Score Distributions - Paul Holland and Dorothy Thayer Testing for IIA in the Multinomial Logit Model - Simon Cheng and J. Scott Long Goodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis - Scott Eliason and Robin Stryker Is Optimal Matching Suboptimal? - Matissa Hollister VOLUME 4: COMPLEX DESIGNS FOR A COMPLEX WORLD Structural Equation Modeling The General Linear Model as Structural Equation Modeling - James Graham Factor Retention Decisions in Exploratory Factor Analysis: A tutorial on parallel analysis - James Hayton et al A Comparison of Item Response Theory and Confirmatory Factor Analytic Methodologies for Establishing Measurement Equivalence/Invariance - Adam Meade and Gary Lautenschlarer The Importance of Structure Coefficients in Structural Equation Modeling Confirmatory Factor Analysis - Bruce Thompson Multilevel Modeling Multilevel Modeling: A review of methodological issues and applications - Robert Dedrick et al Estimating Statistical Power and Required Sample Sizes for Organizational Research Using Multilevel Modeling - Charles Scherbaum and Jennifer Ferreter From Micro to Meso: Critical steps in conceptualizing and conducting multilevel research - Katherine Klein and Steve Kozlowski Growth Modeling Using Random Coefficient Models: Model building, testing, and illustrations - Paul Bliese and Robert Ployhart Event History, Survival and Longitudinal Analyses Multi-State Models for Event History Analysis - Per Kragh Andersen and Niels Keiding Discrete-Time Survival Mixture Analysis - Bengt Muthen and Katherine Masyn Multilevel Random Coefficient Analyses in Event- and Interval-Contingent Data in Social and Personality Psychology Research - John Nezlek Business Cycles and Turning Points: A survey of statistical techniques - Michael Massmann et al Computer-Intensive and Hi-Tech Spatial Analysis Methods The Validity of Publication and Citation Counts for Sociology and Other Select Disciplines - Jake Najman and Belinda Hewitt A Web Crawler Design for Data Mining - Marc Thelwall Analysis of Terrorist Social Networks with Fractal Views - Christopher Yang and Marc Sageman From Schelling to Spatially Explicit Modeling of Urban Ethnic and Economic Residential Dynamics - Itzhak Benenson