Produktbild: Applied Meta-Analysis for Social Science Research

Applied Meta-Analysis for Social Science Research

109,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.07.2011

Verlag

KNV Besorgung

Seitenzahl

377

Maße (L/B/H)

24,1/15,9/3 cm

Gewicht

794 g

Sprache

Englisch

ISBN

978-1-60918-499-5

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.07.2011

Verlag

KNV Besorgung

Seitenzahl

377

Maße (L/B/H)

24,1/15,9/3 cm

Gewicht

794 g

Sprache

Englisch

ISBN

978-1-60918-499-5

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Applied Meta-Analysis for Social Science Research
  • I. The Blueprint: Planning and Preparing a Meta-Analytic Review
    1. An Introduction to Meta-Analysis
    1.1 The Need for Research Synthesis in the Social Sciences
    1.2 Basic Terminology
    1.3 A Brief History of Meta-Analysis
    1.4 The Scientific Process of Research Synthesis
    1.5 An Overview of the Book
    1.6 Practical Matters: A Note on Software and Information Management
    1.7 Summary
    1.8 Recommended Readings
    2. Questions That Can and Questions That Cannot Be Answered through Meta-Analysis
    2.1 Identifying Goals and Research Questions for Meta-Analysis
    2.2 The Limits of Primary Research and the Limits of Meta-Analytic Synthesis
    2.3 Critiques of Meta-Analysis: When Are They Valid and When Are They Not?
    2.4 Practical Matters: The Reciprocal Relation between Planning and Conducting a Meta-Analysis
    2.5 Summary
    2.6 Recommended Readings
    3. Searching the Literature
    3.1 Developing and Articulating a Sampling Frame
    3.2 Inclusion and Exclusion Criteria
    3.3 Finding Relevant Literature
    3.4 Reality Checking: Is My Search Adequate?
    3.5 Practical Matters: Beginning a Meta-Analytic Database
    3.6 Summary
    3.7 Recommended Readings
    II. The Building Blocks: Coding Individual Studies
    4. Coding Study Characteristics
    4.1 Identifying Interesting Moderators
    4.2 Coding Study “Quality”
    4.3 Evaluating Coding Decisions
    4.4 Practical Matters: Creating an Organized Protocol for Coding
    4.5 Summary
    4.6 Recommended Readings
    5. Basic Effect Size Computation
    5.1 The Common Metrics: Correlation, Standardized Mean Difference, and Odds Ratio
    5.2 Computing r from Commonly Reported Results
    5.3 Computing g from Commonly Reported Results
    5.4 Computing o from Commonly Reported Results
    5.5 Comparisons among r, g, and o
    5.6 Practical Matters: Using Effect Size Calculators and Meta-Analysis Programs
    5.7 Summary
    5.8 Recommended Readings
    6. Corrections to Effect Sizes
    6.1 The Controversy of Correction
    6.2 Artifact Corrections to Consider
    6.3 Practical Matters: When (and How) to Correct: Conceptual, Methodological, and Disciplinary Considerations
    6.4 Summary
    6.5 Recommended Readings
    7. Advanced and Unique Effect Size Computation
    7.1 Describing Single Variables
    7.2 When the Metric Is Meaningful: Raw Difference Scores
    7.3 Regression Coefficients and Similar Multivariate Effect Sizes
    7.4 Miscellaneous Effect Sizes
    7.5 Practical Matters: The Opportunities and Challenges of Meta-Analyzing Unique Effect Sizes
    7.6 Summary
    7.7 Recommended Readings
    III. Putting the Pieces Together: Combining and Comparing Effect Sizes
    8. Basic Computations: Computing Mean Effect Size and Heterogeneity around This Mean
    8.1 The Logic of Weighting
    8.2 Measures of Central Tendency in Effect Sizes
    8.3 Inferential Testing and Confidence Intervals of Average Effect Sizes
    8.4 Evaluating Heterogeneity among Effect Sizes
    8.5 Practical Matters: Nonindependence among Effect Sizes
    8.6 Summary
    8.7 Recommended Readings
    9. Explaining Heterogeneity among Effect Sizes: Moderator Analyses
    9.1 Categorical Moderators
    9.2 Continuous Moderators
    9.3 A General Multiple Regression Framework for Moderation
    9.4 An Alternative SEM Approach
    9.5 Practical Matters: The Limits of Interpreting Moderators in Meta-Analysis
    9.6 Summary
    9.7 Recommended Readings
    10. Fixed-, Random-, and Mixed-Effects Models
    10.1 Differences among Models
    10.2 Analyses of Random-Effects Models
    10.3 Mixed-Effects Models
    10.4 A Structural Equation Modeling Approach to Random- and Mixed-Effects Models
    10.5 Practical Matters: Which Model Should I Use?
    10.6 Summary
    10.7 Recommended Readings
    11. Publication Bias
    11.1 The Problem of Publication Bias
    11.2 Managing Publication Bias
    11.3 Practical Matters: What Impact Do Sampling Biases Have on Meta-Analytic Conclusions?
    11.4 Summary
    11.5 Recommended Readings
    12. Multivariate Meta-Analytic Models
    12.1 Meta-Analysis to Obtain Sufficient Statistics
    12.2 Two Approaches to Multivariate Meta-Analysis
    12.3 Practical Matters: The Interplay between Meta-Analytic Models and Theory
    12.4 Summary
    12.5 Recommended Readings
    IV. The Final Product: Reporting Meta-Analytic Results
    13. Writing Meta-Analytic Results
    13.1 Dimensions of Literature Reviews, Revisited
    13.2 What to Report and Where to Report It
    13.3 Using Figures and Tables in Reporting Meta-Analyses
    13.4 Practical Matters: Avoiding Common Problems in Reporting Results of Meta-Analyses
    13.5 Summary
    13.6 Recommended Readings
    References
    Author Index
    Subject Index
    About the Author