SAGE Quantitative Research Methods: SAGE Benchmarks in Social Research Methods
Editat de W. (William) Paul Vogten Limba Engleză Electronic book text – 28 feb 2013
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
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Specificații
ISBN-13: 9781446275719
ISBN-10: 144627571X
Pagini: 1760
Dimensiuni: 156 x 234 mm
Ediția:Four-Volume Set
Editura: SAGE Publications
Colecția Sage Publications Ltd
Seria SAGE Benchmarks in Social Research Methods
Locul publicării:London, United Kingdom
ISBN-10: 144627571X
Pagini: 1760
Dimensiuni: 156 x 234 mm
Ediția:Four-Volume Set
Editura: SAGE Publications
Colecția Sage Publications Ltd
Seria SAGE Benchmarks in Social Research Methods
Locul publicării:London, United Kingdom
Cuprins
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
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
Descriere
Organized
thematically,
this
collection
provides
a
selection
of
the
best
articles
in
quantitative
methods,
taken
from
SAGE
journals.