MARC details
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06355nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20220107103243.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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220107b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781462525003 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
300.72 |
| Item number |
CAR |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Card, Noel A. |
| 245 ## - TITLE STATEMENT |
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| Title |
Applied meta-analysis for social science research |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc. |
Gulford Press |
| Place of publication, distribution, etc. |
New York |
| Date of publication, distribution, etc. |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xvi, 377 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
GBP |
| Price amount |
30.99 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Table of content<br/><br/>I. The Blueprint: Planning and Preparing a Meta-Analytic Review<br/>1. An Introduction to Meta-Analysis<br/><br/>1.1 The Need for Research Synthesis in the Social Sciences<br/><br/>1.2 Basic Terminology<br/><br/>1.3 A Brief History of Meta-Analysis<br/><br/>1.4 The Scientific Process of Research Synthesis<br/><br/>1.5 An Overview of the Book<br/><br/>1.6 Practical Matters: A Note on Software and Information Management<br/><br/>1.7 Summary<br/><br/>1.8 Recommended Readings<br/><br/>2. Questions That Can and Questions That Cannot Be Answered through Meta-Analysis<br/><br/>2.1 Identifying Goals and Research Questions for Meta-Analysis<br/><br/>2.2 The Limits of Primary Research and the Limits of Meta-Analytic Synthesis<br/><br/>2.3 Critiques of Meta-Analysis: When Are They Valid and When Are They Not?<br/><br/>2.4 Practical Matters: The Reciprocal Relation between Planning and Conducting a Meta-Analysis<br/><br/>2.5 Summary<br/><br/>2.6 Recommended Readings<br/><br/>3. Searching the Literature<br/><br/>3.1 Developing and Articulating a Sampling Frame<br/><br/>3.2 Inclusion and Exclusion Criteria<br/><br/>3.3 Finding Relevant Literature<br/><br/>3.4 Reality Checking: Is My Search Adequate?<br/><br/>3.5 Practical Matters: Beginning a Meta-Analytic Database<br/><br/>3.6 Summary<br/><br/>3.7 Recommended Readings<br/><br/>II. The Building Blocks: Coding Individual Studies<br/><br/>4. Coding Study Characteristics<br/><br/>4.1 Identifying Interesting Moderators<br/><br/>4.2 Coding Study “Quality”<br/><br/>4.3 Evaluating Coding Decisions<br/><br/>4.4 Practical Matters: Creating an Organized Protocol for Coding<br/><br/>4.5 Summary<br/><br/>4.6 Recommended Readings<br/><br/>5. Basic Effect Size Computation<br/><br/>5.1 The Common Metrics: Correlation, Standardized Mean Difference, and Odds Ratio<br/><br/>5.2 Computing r from Commonly Reported Results<br/><br/>5.3 Computing g from Commonly Reported Results<br/><br/>5.4 Computing o from Commonly Reported Results<br/><br/>5.5 Comparisons among r, g, and o<br/><br/>5.6 Practical Matters: Using Effect Size Calculators and Meta-Analysis Programs<br/><br/>5.7 Summary<br/><br/>5.8 Recommended Readings<br/><br/>6. Corrections to Effect Sizes<br/><br/>6.1 The Controversy of Correction<br/><br/>6.2 Artifact Corrections to Consider<br/><br/>6.3 Practical Matters: When (and How) to Correct: Conceptual, Methodological, and Disciplinary Considerations<br/><br/>6.4 Summary<br/><br/>6.5 Recommended Readings<br/><br/>7. Advanced and Unique Effect Size Computation<br/><br/>7.1 Describing Single Variables<br/><br/>7.2 When the Metric Is Meaningful: Raw Difference Scores<br/><br/>7.3 Regression Coefficients and Similar Multivariate Effect Sizes<br/><br/>7.4 Miscellaneous Effect Sizes<br/><br/>7.5 Practical Matters: The Opportunities and Challenges of Meta-Analyzing Unique Effect Sizes<br/><br/>7.6 Summary<br/><br/>7.7 Recommended Readings<br/><br/>III. Putting the Pieces Together: Combining and Comparing Effect Sizes<br/><br/>8. Basic Computations: Computing Mean Effect Size and Heterogeneity around This Mean<br/><br/>8.1 The Logic of Weighting<br/><br/>8.2 Measures of Central Tendency in Effect Sizes<br/><br/>8.3 Inferential Testing and Confidence Intervals of Average Effect Sizes<br/><br/>8.4 Evaluating Heterogeneity among Effect Sizes<br/><br/>8.5 Practical Matters: Nonindependence among Effect Sizes<br/><br/>8.6 Summary<br/><br/>8.7 Recommended Readings<br/><br/>9. Explaining Heterogeneity among Effect Sizes: Moderator Analyses<br/><br/>9.1 Categorical Moderators<br/><br/>9.2 Continuous Moderators<br/><br/>9.3 A General Multiple Regression Framework for Moderation<br/><br/>9.4 An Alternative SEM Approach<br/><br/>9.5 Practical Matters: The Limits of Interpreting Moderators in Meta-Analysis<br/><br/>9.6 Summary<br/><br/>9.7 Recommended Readings<br/><br/>10. Fixed-, Random-, and Mixed-Effects Models<br/><br/>10.1 Differences among Models<br/><br/>10.2 Analyses of Random-Effects Models<br/><br/>10.3 Mixed-Effects Models<br/><br/>10.4 A Structural Equation Modeling Approach to Random- and Mixed-Effects Models<br/><br/>10.5 Practical Matters: Which Model Should I Use?<br/><br/>10.6 Summary<br/><br/>10.7 Recommended Readings<br/><br/>11. Publication Bias<br/><br/>11.1 The Problem of Publication Bias<br/><br/>11.2 Managing Publication Bias<br/><br/>11.3 Practical Matters: What Impact Do Sampling Biases Have on Meta-Analytic Conclusions?<br/><br/>11.4 Summary<br/><br/>11.5 Recommended Readings<br/><br/>12. Multivariate Meta-Analytic Models<br/><br/>12.1 Meta-Analysis to Obtain Sufficient Statistics<br/><br/>12.2 Two Approaches to Multivariate Meta-Analysis<br/><br/>12.3 Practical Matters: The Interplay between Meta-Analytic Models and Theory<br/><br/>12.4 Summary<br/><br/>12.5 Recommended Readings<br/><br/>IV. The Final Product: Reporting Meta-Analytic Results<br/><br/>13. Writing Meta-Analytic Results<br/><br/>13.1 Dimensions of Literature Reviews, Revisited<br/><br/>13.2 What to Report and Where to Report It<br/><br/>13.3 Using Figures and Tables in Reporting Meta-Analyses<br/><br/>13.4 Practical Matters: Avoiding Common Problems in Reporting Results of Meta-Analyses<br/><br/>13.5 Summary<br/><br/>13.6 Recommended Readings<br/><br/>References<br/><br/>Author Index<br/><br/>Subject Index<br/><br/>About the Author |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and “Practical Matters” sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Meta-analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Social sciences--Methodology |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Social sciences--Statistical methods |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Little, Todd D. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |