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SAGE Quantitative Research Methods [Multiple-component retail product]

  • Formaat: Multiple-component retail product, 1760 pages, kõrgus x laius: 234x156 mm, kaal: 3140 g, 4 Items, Contains 4 hardbacks
  • Sari: Sage Benchmarks in Social Research Methods
  • Ilmumisaeg: 11-Jan-2011
  • Kirjastus: Sage Publications Ltd
  • ISBN-10: 1848606990
  • ISBN-13: 9781848606999
Teised raamatud teemal:
  • Formaat: Multiple-component retail product, 1760 pages, kõrgus x laius: 234x156 mm, kaal: 3140 g, 4 Items, Contains 4 hardbacks
  • Sari: Sage Benchmarks in Social Research Methods
  • Ilmumisaeg: 11-Jan-2011
  • Kirjastus: Sage Publications Ltd
  • ISBN-10: 1848606990
  • ISBN-13: 9781848606999
Teised raamatud teemal:
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
Appendix of Sources xi
Editor's Introduction xix
W. Paul Vogt
Volume 1 Fundamental Issues in Quantitative Research
1.1 General Orientations
1 Ten Statisticians and Their Impacts for Psychologists
3(22)
Daniel B. Wright
2 14 Conversations about Three Things
25(20)
Howard Wainer
3 Minimally Sufficient Research
45(6)
Christopher Peterson
4 On Quantizing
51(20)
Margarete Sandelowski
Corrine I. Voils
George Knafl
1.2 Experimental Methods
5 The External Validity of Experiments
71(30)
Glenn H. Bracht
Gene V. Glass
6 Randomized Trials for the Real World: Making as Few and as Reasonable Assumptions as Possible
101(10)
Stuart G. Baker
Barnett S. Kramer
7 Improving Causal Inference: Strengths and Limitations of Natural Experiments
111(20)
Thad Dunning
8 Having One's Cake and Eating It, Too: Combining True Experiments with Regression Discontinuity Designs
131(20)
Marvin B. Mandell
1.3 Survey Research
9 Capture-Recapture and Anchored Prevalence Estimation of Injecting Drug Users in England: National and Regional Estimates
151(20)
Gordon Hay
Maria Gannon
Jane MacDougall
Catherine Eastwood
Kate Williams
Tim Millar
10 Constructing Summary Indices of Quality of Life: A Model for the Effect of Heterogeneous Importance Weights
171(38)
Michael R. Hagerty
Kenneth C. Land
11 Advances in Age-Period-Cohort Analysis
209(8)
Herbert L. Smith
12 Selection Bias in Web Surveys and the Use of Propensity Scores
217(26)
Matthias Schonlau
Arthur van Soest
Arie Kapteyn
Mick Couper
1.4 Methods for Missing Data
13 Estimation of Causal Effects via Principal Stratification When Some Outcomes Are Truncated by "Death"
243(16)
Junni L. Zhang
Donald B. Rubin
14 Multiple Imputation for Missing Data: A Cautionary Tale
259(8)
Paul D. Allison
15 Multiple Imputation: Current Perspectives
267(22)
Michael G. Kenward
James Carpenter
16 Incomplete Hierarchical Data
289
Caroline Beunckens
Geert Molenberghs
Herbert Thijs
Geert Verbeke
Volume 2 Measurement for Causal and Statistical Inference
2.1 Measurement/Coding
17 The Cost of Dichotomization
3(8)
Jacob Cohen
18 Fidelity Criteria: Development, Measurement, and Validation
11(32)
Carol T. Mowbray
Mark C. Holter
Gregory B. Teague
Deborah Bybee
19 Controlling Error in Multiple Comparisons, with Examples from State-to-State Differences in Educational Achievement
43(28)
Valerie S.L. Williams
Lyle V. Jones
John W. Tukey
20 Surrogate Endpoint Validation: Statistical Elegance versus Clinical Relevance
71(14)
E.M. Green
G. Yothers
Daniel J. Sargent
2.2 Causation
21 Causation in the Social Sciences: Evidence, Inference, and Purpose
85(20)
Julian Reiss
22 Statistical Models for Causation: What Inferential Leverage Do They Provide?
105(22)
David A. Freedman
23 Identification of Causal Parameters in Randomized Studies with Mediating Variables
127(22)
Michael E. Sobel
24 Matching Estimators of Causal Effects: Prospects and Pitfalls in Theory and Practice
149(52)
Stephen L. Morgan
David J. Harding
25 Suppressor Variables in Path Models: Definitions and Interpretations
201(26)
Gerard H. Maassen
Arnold B. Bakker
2.3 Program Evaluation and Individual Assessment
26 Are Simple Gain Scores Obsolete?
227(14)
Richard H. Williams
Donald W. Zimmerman
27 Ten Difference Score Myths
241(26)
Jeffrey R. Edwards
28 What Are Value-Added Models Estimating and What Does This Imply for Statistical Practice?
267(10)
Stephen W. Raudenbush
29 Setting Targets for Health Care Performance: Lessons from a Case Study of the English NHS
277(24)
Gwyn Bevan
2.4 Statistical Inference
30 The Insignificance of Null Hypothesis Significance Testing
301(28)
Jeff Gill
31 Correcting a Significance Test for Clustering
329(28)
Larry V. Hedges
32 A Comparison of Statistical Significance Tests for Selecting Equating Functions
357(24)
Tim Moses
33 The Choice of Sample Size: A Mixed Bayesian/Frequentist Approach
381
Hamid Pezeshk
Nader Nematollahi
Vahed Maroufy
John Gittins
Volume 3 Alternatives to Hypothesis Testing
3.1 Confidence Intervals and Effect Sizes
34 Toward Policy-Relevant Benchmarks for Interpreting Effect Sizes: Combining Effects with Costs
3(38)
Douglas N. Harris
35 Replication and p Intervals: p Values Predict the Future Only Vaguely, but Confidence Intervals Do Much Better
41(30)
Geoff Cumming
36 Confidence Intervals about Score Reliability Coefficients, Please: An EPM Guidelines Editorial
71(16)
Xitao Fan
Bruce Thompson
37 Finite Sampling Properties of the Point Estimates and Confidence Intervals of the RMSEA
87(36)
Patrick J. Curran
Kenneth A. Bollen
Feinian Chen
Pamela Paxton
James B. Kirby
3.2 Meta-analysis
38 Integrating Findings: The Meta-analysis of Research
123(30)
Gene V. Glass
39 Reliability Generalization: Exploring Variance in Measurement Error Affecting Score Reliability across Studies
153(16)
Tammi Vacha-Haase
40 The Relationship between Sample Sizes and Effect Sizes in Systematic Reviews in Education
169(12)
Robert Slavin
Dewi Smith
41 An Exploratory Test for an Excess of Significant Findings
181(16)
John P.A. Ioannidis
Thomas A. Trikalinos
42 Expanded Information Retrieval Using Full-text Searching
197(16)
Ronald N. Kostoff
3.3 Correlation and Regression
43 Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition
213(32)
Edward Vul
Christine Harris
Piotr Winkielman
Harold Pashler
44 How Is a Statistical link Established between a Human Outcome and a Genetic Variant?
245(24)
Guang Guo
Daniel E. Adkins
45 Using Quasi-variance to Communicate Sociological Results from Statistical Models
269(18)
Vernon Gayle
Paul S. Lambert
46 Weighting Regressions by Propensity Scores
287(18)
David A. Freedman
Richard A. Berk
3.4 Logit and Probit Regression
47 Comparing Logit and Probit Coefficients across Groups
305(20)
Paul D. Allison
48 An Additional Measure of Overall Effect Size for Logistic Regression Models
325(24)
Jeff Allen
Huy Le
49 The Intermediate Endpoint Effect in Logistic and Probit Regression
349(26)
D.P. MacKinnon
C.M. Lockwood
C.H. Brown
W. Wang
J.M. Hoffman
50 An Introduction to Crisp Set QCA, with a Comparison to Binary Logistic Regression
375(20)
Bernard Grofman
Carsten Q. Schneider
3.5 Categorical Data Analysis
51 Univariate and Bivariate Loglinear Models for Discrete Test Score Distributions
395(56)
Paul W. Holland
Dorothy T. Thayer
52 Testing for IIA in the Multinomial Logit Model
451(16)
Simon Cheng
J. Scott Long
53 Goodness-of-Fit Tests and Descriptive Measures in Fuzzy-set Analysis
467(40)
Scott R. Eliason
Robin Stryker
54 Is Optimal Matching Suboptimal?
507
Matissa Hollister
Volume 4 Complex Designs for a Complex World
4.1 Structural Equation Modeling
55 The General Linear Model as Structural Equation Modeling
3(22)
James M. Graham
56 Factor Retention Decisions in Exploratory Factor Analysis: A Tutorial on Parallel Analysis
25(18)
James C. Hayton
David G. Allen
Vida Scarpello
57 A Comparison of Item Response Theory and Confirmatory Factor Analytic Methodologies for Establishing Measurement Equivalence/Invariance
43(30)
Adam W. Meade
Gary J. Lautenschlager
58 The Importance of Structure Coefficients in Structural Equation Modeling Confirmatory Factor Analysis
73(18)
Bruce Thompson
4.2 Multilevel Modeling
59 Multilevel Modeling: A Review of Methodological Issues and Applications
91(36)
Robert F. Dedrick
John M. Ferron
Melinda R. Hess
Kristine Y. Hogarty
Jeffrey D. Kromrey
Thomas R. Lang
John D. Niles
Reginald S. Lee
60 Estimating Statistical Power and Required Sample Sizes for Organizational Research Using Multilevel Modeling
127(24)
Charles A. Scherbaum
Jennifer M. Ferreter
61 From Micro to Meso: Critical Steps in Conceptualizing and Conducting Multilevel Research
151(32)
Katherine J. Klein
Steve W.J. Kozlowski
62 Growth Modeling Using Random Coefficient Models: Model Building, Testing, and Illustrations
183(32)
Paul D. Bliese
Robert E. Ployhart
4.3 Event History, Survival and Longitudinal Analyses
63 Multi-state Models for Event History Analysis
215(28)
Per Kragh Andersen
Niels Keiding
64 Discrete-Time Survival Mixture Analysis
243(32)
Bengt Muthen
Katherine Masyn
65 Multilevel Random Coefficient Analyses of Event- and Interval-Contingent Data in Social and Personality Psychology Research
275(28)
John B. Nezlek
66 Business Cycles and Turning Points: A Survey of Statistical Techniques
303(34)
Michael Massmann
James Mitchell
Martin Weale
4.4 Computer-Intensive and Hi-Tech Spatial Analysis Methods
67 The Validity of Publication and Citation Counts for Sociology and Other Selected Disciplines
337(18)
Jake M. Najman
Belinda Hewitt
68 A Web Crawler Design for Data Mining
355(12)
Mike Thelwall
69 Analysis of Terrorist Social Networks with Fractal Views
367(28)
Christopher C. Yang
Marc Sageman
70 From Schelling to Spatially Explicit Modeling of Urban Ethnic and Economic Residential Dynamics
395
Itzhak Benenson
Erez Hatna
Ehud Or
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).