SAGE Quantitative Research Methods

Number Of Volumes: 4
W. (William) Paul Vogt - Illinois State University, USA
SAGE Quantitative Research Methods
February 2011 | 1760 pages | Sage UK
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ISBN: 9781446275719
Available from January 0001
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ISBN: 9781848606999
Available from January 0001

Description

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

Contents

VOLUME 1: FUNDAMENTAL ISSUES IN QUANTITATIVE RESEARCH

VOLUME 1: FUNDAMENTAL ISSUES IN QUANTITATIVE RESEARCH

General orientations

  • Ten Statisticians and Their Impacts for Psychologists
  • Conversations about Three Things
  • Minimally Sufficient Research
  • On Quantitizing

Experimental Methods

  • The External Validity of Experiments
  • Randomized Trials for the Real World: Making as Few and as Reasonable Assumptions as Possible
  • Having One's Cake and Eating It, Too: Combining true experiments with regression discontinuity designs

Survey Research

  • Capture-Recapture and Anchored Prevalence Estimation of Injecting Drug Users in England: National and regional estimates
  • Constructing Summary Indices of Quality of Life: A model for the effect of heterogeneous importance weights
  • Advances in Age-Period-Cohort Analysis
  • Selection Bias in Web Surveys and the Use of Propensity Scores

Methods for Missing Data

  • Estimation of Causal Effects via Principal Stratification When Some Outcomes Are Truncated by "Death"
  • Multiple Imputation for Missing Data: A cautionary tale
  • Multiple Imputation: Current perspectives
  • Incomplete Hierarchical Data
  • VOLUME 2: MEASUREMENT FOR CAUSAL AND STATISTICAL INFERENCE

Measurement/Coding

  • The Cost of Dichotomization
  • Fidelity Criteria: Development, measurement, and validation
  • Controlling Error in Multiple Comparisons, with Examples from State-to-State differences in Educational Achievement
  • Surrogate Endpoint Validation: Statistical elegance versus clinical relevance

Causation

  • Causation in the Social Sciences: Evidence, inference, and purpose
  • Statistical Models for Causation: What inferential leverage do they provide?
  • Identification of Causal Parameters in Randomized Studies with Mediating Variables
  • Matching Estimators of Causal Effects: Prospects and pitfalls in theory and practice
  • Suppressor Variables in Path Models

Program Evaluation and Individual Assessment

  • Are Simple Gain Scores Obsolete?
  • Ten Difference Score Myths
  • What Are Value-Added Models Estimating and What Does This Imply for Statistical Practice?
  • Setting Targets for Health Care Performance: Lessons from a case study of the English NHS

Statistical Inference

  • Correcting a Significance Test for Clustering
  • The Insignificance of Null Hypothesis Significance Testing
  • A Comparison of Statistical Significance Tests for Selecting Equating Functions
  • The Choice of Sample Size: A mixed Bayesian/frequentist approach
  • VOLUME 3: ALTERNATIVES TO HYPOTHESIS TESTING

Confidence Intervals and Effect Sizes

  • Toward Policy-Relevant Benchmarks for Interpreting Effect Sizes: Combining effects with costs
  • Replication and p Intervals: p values predict the future only vaguely, but confidence intervals do much better
  • Confidence Intervals About Score Reliability Coefficients, Please
  • Finite Sampling Properties of the Point Estimates and Confidence Intervals of the RMSEA

Meta-analysis

  • Integrating Findings: The meta-analysis of research
  • Reliability Generalization: Exploring variance in measurement error affecting score reliability across studies
  • The Relationship Between Sample Sizes and Effect Sizes in Systematic Reviews in Education
  • An Exploratory Test for an Excess of Significant Findings
  • Expanded Information Retrieval Using Full-Text Searching

Correlation and Regression

  • Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition
  • How Is a Statistical Link Established Between a Human Outcome and a Genetic Variant?
  • The Perils of Partialling
  • Weighting Regressions by Propensity Scores

Logit and Probit Regression

  • Comparing Logit and Probit Coefficients across Groups
  • An Additional Measure of Overall Effect Size for Logistic Regression Models
  • The Intermediate Endpoint Effect in Logistic and Probit Regression
  • An Introduction to Crisp Set QCA with a Comparison to Binary Logistic Regression

Categorical Data Analysis

  • Univariate and Bivariate Loglinear Models for Discrete Test Score Distributions
  • Testing for IIA in the Multinomial Logit Model
  • Goodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis
  • Is Optimal Matching Suboptimal?
  • VOLUME 4: COMPLEX DESIGNS FOR A COMPLEX WORLD

Structural Equation Modeling

  • The General Linear Model as Structural Equation Modeling
  • Factor Retention Decisions in Exploratory Factor Analysis: A tutorial on parallel analysis
  • A Comparison of Item Response Theory and Confirmatory Factor Analytic Methodologies for Establishing Measurement Equivalence/Invariance
  • The Importance of Structure Coefficients in Structural Equation Modeling Confirmatory Factor Analysis

Multilevel Modeling

  • Multilevel Modeling: A review of methodological issues and applications
  • Estimating Statistical Power and Required Sample Sizes for Organizational Research Using Multilevel Modeling
  • From Micro to Meso: Critical steps in conceptualizing and conducting multilevel research
  • Growth Modeling Using Random Coefficient Models: Model building, testing, and illustrations

Event History, Survival and Longitudinal Analyses

  • Multi-State Models for Event History Analysis
  • Discrete-Time Survival Mixture Analysis
  • Multilevel Random Coefficient Analyses in Event- and Interval-Contingent Data in Social and Personality Psychology Research
  • Business Cycles and Turning Points: A survey of statistical techniques

Computer-Intensive and Hi-Tech Spatial Analysis Methods

  • The Validity of Publication and Citation Counts for Sociology and Other Select Disciplines
  • A Web Crawler Design for Data Mining
  • Analysis of Terrorist Social Networks with Fractal Views
  • From Schelling to Spatially Explicit Modeling of Urban Ethnic and Economic Residential Dynamics

Description

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

Contents

VOLUME 1: FUNDAMENTAL ISSUES IN QUANTITATIVE RESEARCH

VOLUME 1: FUNDAMENTAL ISSUES IN QUANTITATIVE RESEARCH

General orientations

  • Ten Statisticians and Their Impacts for Psychologists
  • Conversations about Three Things
  • Minimally Sufficient Research
  • On Quantitizing

Experimental Methods

  • The External Validity of Experiments
  • Randomized Trials for the Real World: Making as Few and as Reasonable Assumptions as Possible
  • Having One's Cake and Eating It, Too: Combining true experiments with regression discontinuity designs

Survey Research

  • Capture-Recapture and Anchored Prevalence Estimation of Injecting Drug Users in England: National and regional estimates
  • Constructing Summary Indices of Quality of Life: A model for the effect of heterogeneous importance weights
  • Advances in Age-Period-Cohort Analysis
  • Selection Bias in Web Surveys and the Use of Propensity Scores

Methods for Missing Data

  • Estimation of Causal Effects via Principal Stratification When Some Outcomes Are Truncated by "Death"
  • Multiple Imputation for Missing Data: A cautionary tale
  • Multiple Imputation: Current perspectives
  • Incomplete Hierarchical Data
  • VOLUME 2: MEASUREMENT FOR CAUSAL AND STATISTICAL INFERENCE

Measurement/Coding

  • The Cost of Dichotomization
  • Fidelity Criteria: Development, measurement, and validation
  • Controlling Error in Multiple Comparisons, with Examples from State-to-State differences in Educational Achievement
  • Surrogate Endpoint Validation: Statistical elegance versus clinical relevance

Causation

  • Causation in the Social Sciences: Evidence, inference, and purpose
  • Statistical Models for Causation: What inferential leverage do they provide?
  • Identification of Causal Parameters in Randomized Studies with Mediating Variables
  • Matching Estimators of Causal Effects: Prospects and pitfalls in theory and practice
  • Suppressor Variables in Path Models

Program Evaluation and Individual Assessment

  • Are Simple Gain Scores Obsolete?
  • Ten Difference Score Myths
  • What Are Value-Added Models Estimating and What Does This Imply for Statistical Practice?
  • Setting Targets for Health Care Performance: Lessons from a case study of the English NHS

Statistical Inference

  • Correcting a Significance Test for Clustering
  • The Insignificance of Null Hypothesis Significance Testing
  • A Comparison of Statistical Significance Tests for Selecting Equating Functions
  • The Choice of Sample Size: A mixed Bayesian/frequentist approach
  • VOLUME 3: ALTERNATIVES TO HYPOTHESIS TESTING

Confidence Intervals and Effect Sizes

  • Toward Policy-Relevant Benchmarks for Interpreting Effect Sizes: Combining effects with costs
  • Replication and p Intervals: p values predict the future only vaguely, but confidence intervals do much better
  • Confidence Intervals About Score Reliability Coefficients, Please
  • Finite Sampling Properties of the Point Estimates and Confidence Intervals of the RMSEA

Meta-analysis

  • Integrating Findings: The meta-analysis of research
  • Reliability Generalization: Exploring variance in measurement error affecting score reliability across studies
  • The Relationship Between Sample Sizes and Effect Sizes in Systematic Reviews in Education
  • An Exploratory Test for an Excess of Significant Findings
  • Expanded Information Retrieval Using Full-Text Searching

Correlation and Regression

  • Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition
  • How Is a Statistical Link Established Between a Human Outcome and a Genetic Variant?
  • The Perils of Partialling
  • Weighting Regressions by Propensity Scores

Logit and Probit Regression

  • Comparing Logit and Probit Coefficients across Groups
  • An Additional Measure of Overall Effect Size for Logistic Regression Models
  • The Intermediate Endpoint Effect in Logistic and Probit Regression
  • An Introduction to Crisp Set QCA with a Comparison to Binary Logistic Regression

Categorical Data Analysis

  • Univariate and Bivariate Loglinear Models for Discrete Test Score Distributions
  • Testing for IIA in the Multinomial Logit Model
  • Goodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis
  • Is Optimal Matching Suboptimal?
  • VOLUME 4: COMPLEX DESIGNS FOR A COMPLEX WORLD

Structural Equation Modeling

  • The General Linear Model as Structural Equation Modeling
  • Factor Retention Decisions in Exploratory Factor Analysis: A tutorial on parallel analysis
  • A Comparison of Item Response Theory and Confirmatory Factor Analytic Methodologies for Establishing Measurement Equivalence/Invariance
  • The Importance of Structure Coefficients in Structural Equation Modeling Confirmatory Factor Analysis

Multilevel Modeling

  • Multilevel Modeling: A review of methodological issues and applications
  • Estimating Statistical Power and Required Sample Sizes for Organizational Research Using Multilevel Modeling
  • From Micro to Meso: Critical steps in conceptualizing and conducting multilevel research
  • Growth Modeling Using Random Coefficient Models: Model building, testing, and illustrations

Event History, Survival and Longitudinal Analyses

  • Multi-State Models for Event History Analysis
  • Discrete-Time Survival Mixture Analysis
  • Multilevel Random Coefficient Analyses in Event- and Interval-Contingent Data in Social and Personality Psychology Research
  • Business Cycles and Turning Points: A survey of statistical techniques

Computer-Intensive and Hi-Tech Spatial Analysis Methods

  • The Validity of Publication and Citation Counts for Sociology and Other Select Disciplines
  • A Web Crawler Design for Data Mining
  • Analysis of Terrorist Social Networks with Fractal Views
  • From Schelling to Spatially Explicit Modeling of Urban Ethnic and Economic Residential Dynamics
SAGE Publishing Logo

SAGE Quantitative Research Methods


February 2011 | 1760 pages | Sage UK

Format Published Date ISBN Price
Hardcover 31/03/2026 9781848606999 $1307.00
Lifetime 28/03/2023 9781446275719 $1111.00
180 Day Ebook 28/03/2023 9781446275719 $766.00

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
  • Conversations about Three Things
  • Minimally Sufficient Research
  • On Quantitizing
  • Experimental Methods
  • The External Validity of Experiments
  • Randomized Trials for the Real World: Making as Few and as Reasonable Assumptions as Possible
  • Having One's Cake and Eating It, Too: Combining true experiments with regression discontinuity designs
  • Survey Research
  • Capture-Recapture and Anchored Prevalence Estimation of Injecting Drug Users in England: National and regional estimates
  • Constructing Summary Indices of Quality of Life: A model for the effect of heterogeneous importance weights
  • Advances in Age-Period-Cohort Analysis
  • Selection Bias in Web Surveys and the Use of Propensity Scores
  • Methods for Missing Data
  • Estimation of Causal Effects via Principal Stratification When Some Outcomes Are Truncated by "Death"
  • Multiple Imputation for Missing Data: A cautionary tale
  • Multiple Imputation: Current perspectives
  • Incomplete Hierarchical Data
  • VOLUME 2: MEASUREMENT FOR CAUSAL AND STATISTICAL INFERENCE
  • Measurement/Coding
  • The Cost of Dichotomization
  • Fidelity Criteria: Development, measurement, and validation
  • Controlling Error in Multiple Comparisons, with Examples from State-to-State differences in Educational Achievement
  • Surrogate Endpoint Validation: Statistical elegance versus clinical relevance
  • Causation
  • Causation in the Social Sciences: Evidence, inference, and purpose
  • Statistical Models for Causation: What inferential leverage do they provide?
  • Identification of Causal Parameters in Randomized Studies with Mediating Variables
  • Matching Estimators of Causal Effects: Prospects and pitfalls in theory and practice
  • Suppressor Variables in Path Models
  • Program Evaluation and Individual Assessment
  • Are Simple Gain Scores Obsolete?
  • Ten Difference Score Myths
  • What Are Value-Added Models Estimating and What Does This Imply for Statistical Practice?
  • Setting Targets for Health Care Performance: Lessons from a case study of the English NHS
  • Statistical Inference
  • Correcting a Significance Test for Clustering
  • The Insignificance of Null Hypothesis Significance Testing
  • A Comparison of Statistical Significance Tests for Selecting Equating Functions
  • The Choice of Sample Size: A mixed Bayesian/frequentist approach
  • VOLUME 3: ALTERNATIVES TO HYPOTHESIS TESTING
  • Confidence Intervals and Effect Sizes
  • Toward Policy-Relevant Benchmarks for Interpreting Effect Sizes: Combining effects with costs
  • Replication and p Intervals: p values predict the future only vaguely, but confidence intervals do much better
  • Confidence Intervals About Score Reliability Coefficients, Please
  • Finite Sampling Properties of the Point Estimates and Confidence Intervals of the RMSEA
  • Meta-analysis
  • Integrating Findings: The meta-analysis of research
  • Reliability Generalization: Exploring variance in measurement error affecting score reliability across studies
  • The Relationship Between Sample Sizes and Effect Sizes in Systematic Reviews in Education
  • An Exploratory Test for an Excess of Significant Findings
  • Expanded Information Retrieval Using Full-Text Searching
  • Correlation and Regression
  • Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition
  • How Is a Statistical Link Established Between a Human Outcome and a Genetic Variant?
  • The Perils of Partialling
  • Weighting Regressions by Propensity Scores
  • Logit and Probit Regression
  • Comparing Logit and Probit Coefficients across Groups
  • An Additional Measure of Overall Effect Size for Logistic Regression Models
  • The Intermediate Endpoint Effect in Logistic and Probit Regression
  • An Introduction to Crisp Set QCA with a Comparison to Binary Logistic Regression
  • Categorical Data Analysis
  • Univariate and Bivariate Loglinear Models for Discrete Test Score Distributions
  • Testing for IIA in the Multinomial Logit Model
  • Goodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis
  • Is Optimal Matching Suboptimal?
  • VOLUME 4: COMPLEX DESIGNS FOR A COMPLEX WORLD
  • Structural Equation Modeling
  • The General Linear Model as Structural Equation Modeling
  • Factor Retention Decisions in Exploratory Factor Analysis: A tutorial on parallel analysis
  • A Comparison of Item Response Theory and Confirmatory Factor Analytic Methodologies for Establishing Measurement Equivalence/Invariance
  • The Importance of Structure Coefficients in Structural Equation Modeling Confirmatory Factor Analysis
  • Multilevel Modeling
  • Multilevel Modeling: A review of methodological issues and applications
  • Estimating Statistical Power and Required Sample Sizes for Organizational Research Using Multilevel Modeling
  • From Micro to Meso: Critical steps in conceptualizing and conducting multilevel research
  • Growth Modeling Using Random Coefficient Models: Model building, testing, and illustrations
  • Event History, Survival and Longitudinal Analyses
  • Multi-State Models for Event History Analysis
  • Discrete-Time Survival Mixture Analysis
  • Multilevel Random Coefficient Analyses in Event- and Interval-Contingent Data in Social and Personality Psychology Research
  • Business Cycles and Turning Points: A survey of statistical techniques
  • Computer-Intensive and Hi-Tech Spatial Analysis Methods
  • The Validity of Publication and Citation Counts for Sociology and Other Select Disciplines
  • A Web Crawler Design for Data Mining
  • Analysis of Terrorist Social Networks with Fractal Views
  • From Schelling to Spatially Explicit Modeling of Urban Ethnic and Economic Residential Dynamics

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