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

Frank L. Schmidt; John E. Hunter · OpenAlex · 2015

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Author / responsible party
Frank L. Schmidt; John E. Hunter
Publisher
OpenAlex
Year
2015
Language
English

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PART ONE: INTRODUCTION TO META-ANALYSIS Integrating Research Findings Across Studies Study Artifacts and Their Impact on Study Outcomes PART TWO: META-ANALYSIS OF CORRELATIONS Meta-Analysis of Correlations Corrected Individually for Artifacts Meta-Analysis of Correlations Using Artifact Distributions Technical Questions in Meta-Analysis of Correlations PART THREE: META-ANALYSIS OF EXPERIMENTAL EFFECTS AND OTHER DICHOTOMOUS COMPARISONS Treatment Effects Experimental Artifacts and Their Impact Meta-Analysis Methods for d Values Technical Questions in Meta-Analysis of d Values PART FOUR: GENERAL ISSUES IN META-ANALYSIS Second Order Sampling Error and Related Issues Cumulation of Findings within Studies Methods of Integrating Findings Across Studies Locating, Selecting, and Evaluating Studies General Criticisms of Meta-Analysis Summary of Psychometric Meta-Analysis

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APA 7

Schmidt, F. L. & Hunter, J. E. (2015). Methods of Meta-Analysis: Correcting Error and Bias in Research Findings. OpenAlex. https://doi.org/10.4135/9781483398105

MLA

Schmidt, Frank L, and John E. Hunter. Methods of Meta-Analysis: Correcting Error and Bias in Research Findings. OpenAlex, 2015. https://doi.org/10.4135/9781483398105.

Chicago

Schmidt, Frank L. and John E. Hunter. 2015. Methods of Meta-Analysis: Correcting Error and Bias in Research Findings. OpenAlex. https://doi.org/10.4135/9781483398105.

Harvard

Schmidt, F. L. and Hunter, J. E. 2015, Methods of Meta-Analysis: Correcting Error and Bias in Research Findings, OpenAlex, available at: https://doi.org/10.4135/9781483398105 [Accessed 8 Aug. 2026].

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Title
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Author / contributors
Frank L. Schmidt; John E. Hunter
Publisher
OpenAlex
Publication year
2015
Language
English

Subjects

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Meta-analysis; Non-sampling error; Statistics; Computer science; Psychology; Mathematics; Medicine; Internal medicine
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