W. Paul Vogt is Emeritus Professor of Research Methods and Evaluation at Illinois State University where he won both teaching and research awards. He specializes in methodological choice and program evaluation and is particularly interested in ways to integrate multiple methods. His other books include: Tolerance & Education: Learning to Live with Diversity and Difference (Sage Publications, 1998); Quantitative Research Methods for Professionals (Allyn & Bacon, 2007); Education Programs for Improving Intergroup Relations (coedited with Walter Stephan, Teachers College Press, 2004). He is also editor of four 4-volume sets in the series, Sage Benchmarks in Social Research Methods: Selecting Research Methods (2008); Data Collection (2010); Quantitative Research Methods (2011); and, with Burke Johnson, Correlation and Regression Analysis (2012).His most recent publications include the coauthored When to Use What Research Design (2012) and Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods Approaches (2014).

• VOLUME 1: FUNDAMENTAL ISSUES IN QUANTITATIVE RESEARCHGeneral orientationsTen Statisticians and Their Impacts for Psychologists - Daniel WrightConversations about Three Things - Howard Wainer Minimally Sufficient Research - Christopher PetersonOn Quantitizing - Margarete SandelowskiExperimental MethodsThe External Validity of Experiments - Glenn Bracht and Gene GlassRandomized Trials for the Real World: Making as Few and as Reasonable Assumptions as Possible - Stuart Baker and Barnett KramerHaving One′s Cake and Eating It, Too: Combining true experiments with regression discontinuity designs - Marvin MandellSurvey ResearchCapture-Recapture and Anchored Prevalence Estimation of Injecting Drug Users in England: National and regional estimates - Gordon Hay et alConstructing Summary Indices of Quality of Life: A model for the effect of heterogeneous importance weights - Michael Hagerty and Kenneth LandAdvances in Age-Period-Cohort Analysis - Herbert Smith Selection Bias in Web Surveys and the Use of Propensity Scores - Matthias Schonlau et alMethods for Missing DataEstimation of Causal Effects via Principal Stratification When Some Outcomes Are Truncated by "Death" - Junni Zhang and Donald RubinMultiple Imputation for Missing Data: A cautionary tale - Paul AllisonMultiple Imputation: Current perspectives - Michael Kenward and James CarpenterIncomplete Hierarchical Data - Caroline Beunckens et alVOLUME 2: MEASUREMENT FOR CAUSAL AND STATISTICAL INFERENCEMeasurement/CodingThe Cost of Dichotomization - Jacob Cohen Fidelity Criteria: Development, measurement, and validation - Carol Mowbray et alControlling Error in Multiple Comparisons, with Examples from State-to-State differences in Educational Achievement - Valerie Williams, Lyle Jones and John TukeySurrogate Endpoint Validation: Statistical elegance versus clinical relevance - E.M. GreenCausationCausation in the Social Sciences: Evidence, inference, and purpose - Julian ReissStatistical Models for Causation: What inferential leverage do they provide? - David FreedmanIdentification of Causal Parameters in Randomized Studies with Mediating Variables - Michael SobelMatching Estimators of Causal Effects: Prospects and pitfalls in theory and practice - Stephen Morgan and David HardingSuppressor Variables in Path Models - Gerard Massen and Arnold Baker Program Evaluation and Individual AssessmentAre Simple Gain Scores Obsolete? - Richard Williams and Donald Zimmerman Ten Difference Score Myths - Jeffrey EdwardsWhat Are Value-Added Models Estimating and What Does This Imply for Statistical Practice? - Stephen RaudenbushSetting Targets for Health Care Performance: Lessons from a case study of the English NHS - Gwyn BevanStatistical InferenceCorrecting a Significance Test for Clustering - Larry HedgesThe Insignificance of Null Hypothesis Significance Testing - Jeff GillA Comparison of Statistical Significance Tests for Selecting Equating Functions - Tim MosesThe Choice of Sample Size: A mixed Bayesian/frequentist approach - Hamid Pezeshk et alVOLUME 3: ALTERNATIVES TO HYPOTHESIS TESTINGConfidence Intervals and Effect SizesToward Policy-Relevant Benchmarks for Interpreting Effect Sizes: Combining effects with costs - Douglas HarrisReplication 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 ThompsonFinite Sampling Properties of the Point Estimates and Confidence Intervals of the RMSEA - Patrick Curran et al.Meta-analysisIntegrating Findings: The meta-analysis of research - Gene GlassReliability Generalization: Exploring variance in measurement error affecting score reliability across studies - Tammi Vacha-HaaseThe 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 TrikalinosExpanded Information Retrieval Using Full-Text Searching - Ronald KostoffCorrelation and RegressionPuzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition - Edward Vul et alHow Is a Statistical Link Established Between a Human Outcome and a Genetic Variant? - Guang Guo and Daniel AdkinsThe Perils of Partialling - Donald Lynam et alWeighting Regressions by Propensity Scores - David Freedman and Richard BerkLogit and Probit RegressionComparing Logit and Probit Coefficients across Groups - Paul AllisonAn Additional Measure of Overall Effect Size for Logistic Regression Models - Jeff Allen and Huy LeThe Intermediate Endpoint Effect in Logistic and Probit Regression - D.P. Mackinnon et alAn Introduction to Crisp Set QCA with a Comparison to Binary Logistic Regression - Bernard Gofman and Carsten SchneiderCategorical Data AnalysisUnivariate 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 LongGoodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis - Scott Eliason and Robin StrykerIs Optimal Matching Suboptimal? - Matissa HollisterVOLUME 4: COMPLEX DESIGNS FOR A COMPLEX WORLDStructural Equation ModelingThe General Linear Model as Structural Equation Modeling - James GrahamFactor Retention Decisions in Exploratory Factor Analysis: A tutorial on parallel analysis - James Hayton et alA Comparison of Item Response Theory and Confirmatory Factor Analytic Methodologies for Establishing Measurement Equivalence/Invariance - Adam Meade and Gary LautenschlarerThe Importance of Structure Coefficients in Structural Equation Modeling Confirmatory Factor Analysis - Bruce ThompsonMultilevel ModelingMultilevel Modeling: A review of methodological issues and applications - Robert Dedrick et alEstimating Statistical Power and Required Sample Sizes for Organizational Research Using Multilevel Modeling - Charles Scherbaum and Jennifer FerreterFrom Micro to Meso: Critical steps in conceptualizing and conducting multilevel research - Katherine Klein and Steve KozlowskiGrowth Modeling Using Random Coefficient Models: Model building, testing, and illustrations - Paul Bliese and Robert Ployhart Event History, Survival and Longitudinal AnalysesMulti-State Models for Event History Analysis - Per Kragh Andersen and Niels KeidingDiscrete-Time Survival Mixture Analysis - Bengt Muthen and Katherine MasynMultilevel Random Coefficient Analyses in Event- and Interval-Contingent Data in Social and Personality Psychology Research - John NezlekBusiness Cycles and Turning Points: A survey of statistical techniques - Michael Massmann et alComputer-Intensive and Hi-Tech Spatial Analysis MethodsThe Validity of Publication and Citation Counts for Sociology and Other Select Disciplines - Jake Najman and Belinda HewittA Web Crawler Design for Data Mining - Marc ThelwallAnalysis of Terrorist Social Networks with Fractal Views - Christopher Yang and Marc SagemanFrom Schelling to Spatially Explicit Modeling of Urban Ethnic and Economic Residential Dynamics - Itzhak Benenson

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W. Paul Vogt is Emeritus Professor of Research Methods and Evaluation at Illinois State University where he won both teaching and research awards. He specializes in methodological choice and program evaluation and is particularly interested in ways to integrate multiple methods. His other books include: Tolerance & Education: Learning to Live with Diversity and Difference (Sage Publications, 1998); Quantitative Research Methods for Professionals (Allyn & Bacon, 2007); Education Programs for Improving Intergroup Relations (coedited with Walter Stephan, Teachers College Press, 2004). He is also editor of four 4-volume sets in the series, Sage Benchmarks in Social Research Methods: Selecting Research Methods (2008); Data Collection (2010); Quantitative Research Methods (2011); and, with Burke Johnson, Correlation and Regression Analysis (2012).His most recent publications include the coauthored When to Use What Research Design (2012) and Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods Approaches (2014).

• VOLUME 1: FUNDAMENTAL ISSUES IN QUANTITATIVE RESEARCHGeneral orientationsTen Statisticians and Their Impacts for Psychologists - Daniel WrightConversations about Three Things - Howard Wainer Minimally Sufficient Research - Christopher PetersonOn Quantitizing - Margarete SandelowskiExperimental MethodsThe External Validity of Experiments - Glenn Bracht and Gene GlassRandomized Trials for the Real World: Making as Few and as Reasonable Assumptions as Possible - Stuart Baker and Barnett KramerHaving One′s Cake and Eating It, Too: Combining true experiments with regression discontinuity designs - Marvin MandellSurvey ResearchCapture-Recapture and Anchored Prevalence Estimation of Injecting Drug Users in England: National and regional estimates - Gordon Hay et alConstructing Summary Indices of Quality of Life: A model for the effect of heterogeneous importance weights - Michael Hagerty and Kenneth LandAdvances in Age-Period-Cohort Analysis - Herbert Smith Selection Bias in Web Surveys and the Use of Propensity Scores - Matthias Schonlau et alMethods for Missing DataEstimation of Causal Effects via Principal Stratification When Some Outcomes Are Truncated by "Death" - Junni Zhang and Donald RubinMultiple Imputation for Missing Data: A cautionary tale - Paul AllisonMultiple Imputation: Current perspectives - Michael Kenward and James CarpenterIncomplete Hierarchical Data - Caroline Beunckens et alVOLUME 2: MEASUREMENT FOR CAUSAL AND STATISTICAL INFERENCEMeasurement/CodingThe Cost of Dichotomization - Jacob Cohen Fidelity Criteria: Development, measurement, and validation - Carol Mowbray et alControlling Error in Multiple Comparisons, with Examples from State-to-State differences in Educational Achievement - Valerie Williams, Lyle Jones and John TukeySurrogate Endpoint Validation: Statistical elegance versus clinical relevance - E.M. GreenCausationCausation in the Social Sciences: Evidence, inference, and purpose - Julian ReissStatistical Models for Causation: What inferential leverage do they provide? - David FreedmanIdentification of Causal Parameters in Randomized Studies with Mediating Variables - Michael SobelMatching Estimators of Causal Effects: Prospects and pitfalls in theory and practice - Stephen Morgan and David HardingSuppressor Variables in Path Models - Gerard Massen and Arnold Baker Program Evaluation and Individual AssessmentAre Simple Gain Scores Obsolete? - Richard Williams and Donald Zimmerman Ten Difference Score Myths - Jeffrey EdwardsWhat Are Value-Added Models Estimating and What Does This Imply for Statistical Practice? - Stephen RaudenbushSetting Targets for Health Care Performance: Lessons from a case study of the English NHS - Gwyn BevanStatistical InferenceCorrecting a Significance Test for Clustering - Larry HedgesThe Insignificance of Null Hypothesis Significance Testing - Jeff GillA Comparison of Statistical Significance Tests for Selecting Equating Functions - Tim MosesThe Choice of Sample Size: A mixed Bayesian/frequentist approach - Hamid Pezeshk et alVOLUME 3: ALTERNATIVES TO HYPOTHESIS TESTINGConfidence Intervals and Effect SizesToward Policy-Relevant Benchmarks for Interpreting Effect Sizes: Combining effects with costs - Douglas HarrisReplication 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 ThompsonFinite Sampling Properties of the Point Estimates and Confidence Intervals of the RMSEA - Patrick Curran et al.Meta-analysisIntegrating Findings: The meta-analysis of research - Gene GlassReliability Generalization: Exploring variance in measurement error affecting score reliability across studies - Tammi Vacha-HaaseThe 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 TrikalinosExpanded Information Retrieval Using Full-Text Searching - Ronald KostoffCorrelation and RegressionPuzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition - Edward Vul et alHow Is a Statistical Link Established Between a Human Outcome and a Genetic Variant? - Guang Guo and Daniel AdkinsThe Perils of Partialling - Donald Lynam et alWeighting Regressions by Propensity Scores - David Freedman and Richard BerkLogit and Probit RegressionComparing Logit and Probit Coefficients across Groups - Paul AllisonAn Additional Measure of Overall Effect Size for Logistic Regression Models - Jeff Allen and Huy LeThe Intermediate Endpoint Effect in Logistic and Probit Regression - D.P. Mackinnon et alAn Introduction to Crisp Set QCA with a Comparison to Binary Logistic Regression - Bernard Gofman and Carsten SchneiderCategorical Data AnalysisUnivariate 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 LongGoodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis - Scott Eliason and Robin StrykerIs Optimal Matching Suboptimal? - Matissa HollisterVOLUME 4: COMPLEX DESIGNS FOR A COMPLEX WORLDStructural Equation ModelingThe General Linear Model as Structural Equation Modeling - James GrahamFactor Retention Decisions in Exploratory Factor Analysis: A tutorial on parallel analysis - James Hayton et alA Comparison of Item Response Theory and Confirmatory Factor Analytic Methodologies for Establishing Measurement Equivalence/Invariance - Adam Meade and Gary LautenschlarerThe Importance of Structure Coefficients in Structural Equation Modeling Confirmatory Factor Analysis - Bruce ThompsonMultilevel ModelingMultilevel Modeling: A review of methodological issues and applications - Robert Dedrick et alEstimating Statistical Power and Required Sample Sizes for Organizational Research Using Multilevel Modeling - Charles Scherbaum and Jennifer FerreterFrom Micro to Meso: Critical steps in conceptualizing and conducting multilevel research - Katherine Klein and Steve KozlowskiGrowth Modeling Using Random Coefficient Models: Model building, testing, and illustrations - Paul Bliese and Robert Ployhart Event History, Survival and Longitudinal AnalysesMulti-State Models for Event History Analysis - Per Kragh Andersen and Niels KeidingDiscrete-Time Survival Mixture Analysis - Bengt Muthen and Katherine MasynMultilevel Random Coefficient Analyses in Event- and Interval-Contingent Data in Social and Personality Psychology Research - John NezlekBusiness Cycles and Turning Points: A survey of statistical techniques - Michael Massmann et alComputer-Intensive and Hi-Tech Spatial Analysis MethodsThe Validity of Publication and Citation Counts for Sociology and Other Select Disciplines - Jake Najman and Belinda HewittA Web Crawler Design for Data Mining - Marc ThelwallAnalysis of Terrorist Social Networks with Fractal Views - Christopher Yang and Marc SagemanFrom Schelling to Spatially Explicit Modeling of Urban Ethnic and Economic Residential Dynamics - Itzhak Benenson

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W. Paul Vogt is Emeritus Professor of Research Methods and Evaluation at Illinois State University where he won both teaching and research awards. He specializes in methodological choice and program evaluation and is particularly interested in ways to integrate multiple methods. His other books include: Tolerance & Education: Learning to Live with Diversity and Difference (Sage Publications, 1998); Quantitative Research Methods for Professionals (Allyn & Bacon, 2007); Education Programs for Improving Intergroup Relations (coedited with Walter Stephan, Teachers College Press, 2004). He is also editor of four 4-volume sets in the series, Sage Benchmarks in Social Research Methods: Selecting Research Methods (2008); Data Collection (2010); Quantitative Research Methods (2011); and, with Burke Johnson, Correlation and Regression Analysis (2012).His most recent publications include the coauthored When to Use What Research Design (2012) and Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods Approaches (2014).

• VOLUME 1: FUNDAMENTAL ISSUES IN QUANTITATIVE RESEARCHGeneral orientationsTen Statisticians and Their Impacts for Psychologists - Daniel WrightConversations about Three Things - Howard Wainer Minimally Sufficient Research - Christopher PetersonOn Quantitizing - Margarete SandelowskiExperimental MethodsThe External Validity of Experiments - Glenn Bracht and Gene GlassRandomized Trials for the Real World: Making as Few and as Reasonable Assumptions as Possible - Stuart Baker and Barnett KramerHaving One′s Cake and Eating It, Too: Combining true experiments with regression discontinuity designs - Marvin MandellSurvey ResearchCapture-Recapture and Anchored Prevalence Estimation of Injecting Drug Users in England: National and regional estimates - Gordon Hay et alConstructing Summary Indices of Quality of Life: A model for the effect of heterogeneous importance weights - Michael Hagerty and Kenneth LandAdvances in Age-Period-Cohort Analysis - Herbert Smith Selection Bias in Web Surveys and the Use of Propensity Scores - Matthias Schonlau et alMethods for Missing DataEstimation of Causal Effects via Principal Stratification When Some Outcomes Are Truncated by "Death" - Junni Zhang and Donald RubinMultiple Imputation for Missing Data: A cautionary tale - Paul AllisonMultiple Imputation: Current perspectives - Michael Kenward and James CarpenterIncomplete Hierarchical Data - Caroline Beunckens et alVOLUME 2: MEASUREMENT FOR CAUSAL AND STATISTICAL INFERENCEMeasurement/CodingThe Cost of Dichotomization - Jacob Cohen Fidelity Criteria: Development, measurement, and validation - Carol Mowbray et alControlling Error in Multiple Comparisons, with Examples from State-to-State differences in Educational Achievement - Valerie Williams, Lyle Jones and John TukeySurrogate Endpoint Validation: Statistical elegance versus clinical relevance - E.M. GreenCausationCausation in the Social Sciences: Evidence, inference, and purpose - Julian ReissStatistical Models for Causation: What inferential leverage do they provide? - David FreedmanIdentification of Causal Parameters in Randomized Studies with Mediating Variables - Michael SobelMatching Estimators of Causal Effects: Prospects and pitfalls in theory and practice - Stephen Morgan and David HardingSuppressor Variables in Path Models - Gerard Massen and Arnold Baker Program Evaluation and Individual AssessmentAre Simple Gain Scores Obsolete? - Richard Williams and Donald Zimmerman Ten Difference Score Myths - Jeffrey EdwardsWhat Are Value-Added Models Estimating and What Does This Imply for Statistical Practice? - Stephen RaudenbushSetting Targets for Health Care Performance: Lessons from a case study of the English NHS - Gwyn BevanStatistical InferenceCorrecting a Significance Test for Clustering - Larry HedgesThe Insignificance of Null Hypothesis Significance Testing - Jeff GillA Comparison of Statistical Significance Tests for Selecting Equating Functions - Tim MosesThe Choice of Sample Size: A mixed Bayesian/frequentist approach - Hamid Pezeshk et alVOLUME 3: ALTERNATIVES TO HYPOTHESIS TESTINGConfidence Intervals and Effect SizesToward Policy-Relevant Benchmarks for Interpreting Effect Sizes: Combining effects with costs - Douglas HarrisReplication 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 ThompsonFinite Sampling Properties of the Point Estimates and Confidence Intervals of the RMSEA - Patrick Curran et al.Meta-analysisIntegrating Findings: The meta-analysis of research - Gene GlassReliability Generalization: Exploring variance in measurement error affecting score reliability across studies - Tammi Vacha-HaaseThe 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 TrikalinosExpanded Information Retrieval Using Full-Text Searching - Ronald KostoffCorrelation and RegressionPuzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition - Edward Vul et alHow Is a Statistical Link Established Between a Human Outcome and a Genetic Variant? - Guang Guo and Daniel AdkinsThe Perils of Partialling - Donald Lynam et alWeighting Regressions by Propensity Scores - David Freedman and Richard BerkLogit and Probit RegressionComparing Logit and Probit Coefficients across Groups - Paul AllisonAn Additional Measure of Overall Effect Size for Logistic Regression Models - Jeff Allen and Huy LeThe Intermediate Endpoint Effect in Logistic and Probit Regression - D.P. Mackinnon et alAn Introduction to Crisp Set QCA with a Comparison to Binary Logistic Regression - Bernard Gofman and Carsten SchneiderCategorical Data AnalysisUnivariate 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 LongGoodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis - Scott Eliason and Robin StrykerIs Optimal Matching Suboptimal? - Matissa HollisterVOLUME 4: COMPLEX DESIGNS FOR A COMPLEX WORLDStructural Equation ModelingThe General Linear Model as Structural Equation Modeling - James GrahamFactor Retention Decisions in Exploratory Factor Analysis: A tutorial on parallel analysis - James Hayton et alA Comparison of Item Response Theory and Confirmatory Factor Analytic Methodologies for Establishing Measurement Equivalence/Invariance - Adam Meade and Gary LautenschlarerThe Importance of Structure Coefficients in Structural Equation Modeling Confirmatory Factor Analysis - Bruce ThompsonMultilevel ModelingMultilevel Modeling: A review of methodological issues and applications - Robert Dedrick et alEstimating Statistical Power and Required Sample Sizes for Organizational Research Using Multilevel Modeling - Charles Scherbaum and Jennifer FerreterFrom Micro to Meso: Critical steps in conceptualizing and conducting multilevel research - Katherine Klein and Steve KozlowskiGrowth Modeling Using Random Coefficient Models: Model building, testing, and illustrations - Paul Bliese and Robert Ployhart Event History, Survival and Longitudinal AnalysesMulti-State Models for Event History Analysis - Per Kragh Andersen and Niels KeidingDiscrete-Time Survival Mixture Analysis - Bengt Muthen and Katherine MasynMultilevel Random Coefficient Analyses in Event- and Interval-Contingent Data in Social and Personality Psychology Research - John NezlekBusiness Cycles and Turning Points: A survey of statistical techniques - Michael Massmann et alComputer-Intensive and Hi-Tech Spatial Analysis MethodsThe Validity of Publication and Citation Counts for Sociology and Other Select Disciplines - Jake Najman and Belinda HewittA Web Crawler Design for Data Mining - Marc ThelwallAnalysis of Terrorist Social Networks with Fractal Views - Christopher Yang and Marc SagemanFrom Schelling to Spatially Explicit Modeling of Urban Ethnic and Economic Residential Dynamics - Itzhak Benenson

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