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

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

by John E. Hunter, Frank L. (Leo) Schmidt
     
 

Most methods of meta-analysis focus on describing and summarizing the results of studies in a research literature, but for Hunter (retired, psychology, Michigan State U.) and Schmidt (management and organization, U. of Iowa), the purpose of meta-analysis is to estimate what the results would have been had all the studies been conducted without methodological… See more details below

Overview

Most methods of meta-analysis focus on describing and summarizing the results of studies in a research literature, but for Hunter (retired, psychology, Michigan State U.) and Schmidt (management and organization, U. of Iowa), the purpose of meta-analysis is to estimate what the results would have been had all the studies been conducted without methodological limitations or flaws. Since the 1990 edition, meta-analysis has become widely accepted and practiced, and their revision incorporates the new breadth. Annotation ©2004 Book News, Inc., Portland, OR

Product Details

ISBN-13:
9780803932227
Publisher:
SAGE Publications
Publication date:
12/01/1989
Pages:
592
Product dimensions:
5.51(w) x 8.66(h) x (d)

Table of Contents

Pt. IIntroduction to meta-analysis
1Integrating research findings across studies
2Study artifacts and their impact on study outcomes
Pt. IIMeta-analysis of correlations
3Meta-analysis of correlations corrected individually for artifacts
4Meta-analysis of correlations using artifact distributions
5Technical questions in meta-analysis of correlations
Pt. IIIMeta-analysis of experimental effects and other dichotomous comparisons
6Treatment effects : experimental artifacts and their impact
7Meta-analysis methods for d values
8Technical questions in meta-analysis of d values
Pt. IVGeneral issues in meta-analysis
9General technical issues in meta-analysis
10Cumulation of findings within studies
11Methods of integrating findings across studies and related software
12Locating, evaluating, and coding studies
13Availability and source bias in meta-analysis
14Summary of psychometric meta-analysis

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