Preface to 2nd Edition |
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Preface to 1st Edition |
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Acknowledgements |
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Introduction to Meta-Analysis |
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Integration Research Findings Across Studies |
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General problem and an example |
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Problems with statistical significance tests |
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Is statistical power the solution? |
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Confidence intervals |
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Meta-analysis |
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Role of meta-analysis in the behavioral and social sciences |
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Role of meta-analysis in theory development |
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Increasing use of meta-analysis |
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Meta-analysis in industrial-organizational psychology |
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Wider impact of meta-analysis on psychology |
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Impact of meta-analysis outside psychology |
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Meta-analysis and social policy |
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Meta-analysis and theories of data |
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Conclusions |
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Study Artifacts and Their Impact on Study Outcomes |
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Study Artifacts |
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Sampling error, statistical power, and the interpretation of research literatures |
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When and how to cumulate |
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Undercorrection for artifacts in the corrected standard deviation |
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Coding study characteristics and capitalization on sampling error in moderator analysis |
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A look ahead in the book |
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Meta-Analysis of Correlations |
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Meta-Analysis of Correlations Corrected Individually for Artifacts |
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Introduction and Overview |
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Bare bones meta-analysis: Correcting for sampling error only |
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Artifacts other than sampling error |
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Multiple simultaneous artifacts |
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Meta-analysis of individually corrected correlations |
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A worked example: Indirect range restriction |
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Summary of meta-analysis correcting each correlation individually |
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Exercise 1: Bare bones meta-analysis |
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Exercise 2: Meta-analysis correcting each correlation individually |
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Meta-Analysis of Correlations Using Artifact Distributions |
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Full artifact distribution meta-analysis |
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Accuracy of corrections for artifacts |
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Mixed meta-analysis: Partial artifact information in individual studies |
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Summary of artifact distribution of meta-analysis of correlations |
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Exercise: Artifact distribution meta-analysis |
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Technical Questions in Meta-Analysis of Correlations |
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r versus : Which should be used? |
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r vs. regression slopes and intercepts in meta-analysis |
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Technical factors that cause overestimation of |
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Fixed and random models in meta-analysis |
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Credibility vs. confidence intervals in meta-analysis |
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Computing confidence intervals in meta-analysis |
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Range Restriction in meta-analysis: New technical analysis |
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Criticisms of meta-analysis procedures for correlations |
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Meta-Analysis of Experimental Effects and Other Dichotomous Comparisons |
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Treatment Effects: Experimental Artifacts and Their Impact |
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Quantification of the treatment effect: The d statistic and the point-biserial correlation |
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Sampling error in d values: Illustrations |
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Error of measurement in the dependent variable |
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Error of measurement in the treatment variable |
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Variation across studies in treatment strength |
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Range variation on the dependent variable |
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Dichotomization of the dependent variable |
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Imperfect construct validity in the dependent variable |
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Imperfect construct validity in the treatment variable |
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Bias in the effect size (d statistic) |
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Recording, computational, and transcriptional errors |
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Multiple artifacts and corrections |
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Meta-Analysis Methods for d Values |
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Effect size indices: d and r |
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An Alternative to d: Glass' d |
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Sampling error in the d statistic |
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Cumulation and correction of the variance for sampling error |
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Analysis of moderator variables |
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Correcting d values for measurement error in the dependent variable |
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Measurement error in the independent variable in experiments |
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Other artifacts and their effects |
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Correcting for multiple artifacts |
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Summary of meta-analysis of d values |
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Exercise: Meta-Analysis of d-Values |
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Technical Questions in Meta-Analysis of d Values |
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Alternative experimental designs |
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Within-subjects experimental designs |
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Meta-analysis and the within-subjects design |
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Statistical power in the two designs |
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Threats to internal and external validity |
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Bias in observed d values |
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Use of multiple regression in moderation analysis of d values |
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General Issues in Meta-Analysis |
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General Technical Issues in Meta-analysis |
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Fixed effects versus random effects models in meta-analysis |
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Second order sampling error: General principles |
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Detecting moderators not hypothesized a priori |
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Second order meta-analysis |
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Large N studies and meta-analysis |
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Second order sampling error: Technical treatment |
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The detection of moderator variables: Summary |
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Hierarchical analysis of moderator variables |
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Exercise: Second order meta-analysis |
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Cumulation of Findings Within Studies |
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Fully replicated designs |
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Conceptual replications |
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Conceptual replications and confirmatory factor analysis |
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Conceptual replications: A alternative approach |
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Analysis of subgroups |
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Summary |
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Methods of Integrating Findings Across Studies and Related Software |
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The traditional narrative procedure |
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The traditional voting method |
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Cumulation of p-values across studies |
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Statistically correct vote counting procedures |
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Meta-analysis of research studies |
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Unresolved problems in meta-analysis |
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Summary of methods of integrating studies |
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Computer programs for meta-analysis |
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Locating, Evaluating, and Coding Studies |
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Conducting a thorough literature search |
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What to do about studies with "methodological weaknesses" |
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Coding studies in meta-analysis |
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What to include in the meta-analysis report |
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Information needed in reports of primary studies |
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Appendix: Coding sheet for validity studies |
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Availability and Source Bias in Meta-Analysis |
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Some evidence on bias |
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Effects of methodological quality on mean effect sizes from different sources |
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Multiple hypotheses and other considerations in availability bias |
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Methods for detecting availability bias |
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Methods for correcting for availability bias |
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Summary of Psychometric Meta-Analysis |
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Meta-analysis methods and theories of data |
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What is the ultimate purpose of meta-analysis? |
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Appendix: Windows Based Meta-Analysis Software Package |
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References |
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Author Index |
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Subject Index |
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About the Authors |
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