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Methods of Meta-Analysis Correcting Error and Bias in Research Findings

245,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.04.2004

Herausgeber

John E. Hunter

Verlag

Sage Publications

Seitenzahl

616

Maße (L/B/H)

25,4/17,8/3,3 cm

Gewicht

1170 g

Auflage

2. überarbeitete Auflage

Sprache

Englisch

ISBN

978-1-4129-0479-7

Beschreibung

Rezension

"Clearly written and compellingly argued, this book explains the procedures and benefits of correcting for measurement error and range restriction and details the methodological developments in meta-analysis over the last decade. No one should consider conducting a meta-analysis without first reading this book. It is essential reading for all scientists." Michael A. McDaniel

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.04.2004

Herausgeber

John E. Hunter

Verlag

Sage Publications

Seitenzahl

616

Maße (L/B/H)

25,4/17,8/3,3 cm

Gewicht

1170 g

Auflage

2. überarbeitete Auflage

Sprache

Englisch

ISBN

978-1-4129-0479-7

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: [email protected]

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