Corpus ID: 60218367

Practical Meta-Analysis

@inproceedings{Lipsey2000PracticalM,
  title={Practical Meta-Analysis},
  author={Mark Lipsey and David B. Wilson},
  year={2000}
}
Introduction Problem Specification and Study Retrieval Selecting, Computing and Coding the Effect Size Statistic Developing a Coding Scheme and Coding Study Reports Data Management Analysis Issues and Strategies Computational Techniques for Meta-Analysis Data Interpreting and Using Meta-Analysis Results 
Planning a Meta-analysis in a Systematic Review
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The topics covered include choosing moderators for effect size models, considerations for choosing between fixed and random effects models, issues in conducting moderator models in meta-analysis such as confounding of predictors, and computing meta-regression. Expand
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A meta-analysis assessing the relationship between software size and software quality across 10 diverse software project studies spanning over 20 years suggests that the relationship between softwareExpand
Do We Really Understand a Research Topic? Finding Answers Through Meta-Analyses
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This chapter introduces the main points underlying meta-analytic methodology by discussing its merits when compared to a conventional literature review and covers the fundamental approaches used when conducting a meta-analysis. Expand
Data Management in Meta-analytical Procedures: Myths, Realities, and Biases
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The theoretical and practical examples indicate that a meta-analytical approach is most useful and applicable when related to a clear problem specification, a correct coding scheme and the use of a proper statistical value base. Expand
Fixed and Mixed Effects Models in Meta-Analysis
TLDR
Fixed and mixed effects models for univariate and multivariate meta-analysis are reviewed and specialized software that facilitates the statistical analysis of meta-analytic data is discussed. Expand
Introductory Guide to Systematic Reviews and Meta-Analysis
This paper is an introductory guide to systematic reviews and metaanalysis. Meta-analysis is defined, and important textbooks are introduced. The types of research problems that lend themselves toExpand
Meta-Analysis: Theory
Meta-analysis is the combination of estimates across studies for the purposes of drawing general conclusions. Meta-analysis usually summarizes the results of each study by an index of effect size andExpand
Meta-analysis using linear mixed models
  • C. Sheu, S. Suzuki
  • Computer Science, Medicine
  • Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc
  • 2001
TLDR
This paper introduces linear mixed models as a framework for meta-analysis in psychological research, using a popular general purpose statistical package, SAS, and illustrated with three examples. Expand
A Review and Evaluation of Meta-Analysis Practices in Management Research
Meta-analysis has become increasingly popular in management research to quantitatively integrate research findings across a large number of studies. In an effort to help shape future applications ofExpand
Review of Effect Sizes
This chapter provides an overview of the three major effect sizes that will be used in the book: the standardized mean difference, the correlation coefficient, and the log odds ratio. The notationExpand
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