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Identification and Assessment of Meta-Analysis Stages and Practices
(based on Figure 1, p. 307, Kirca & Yaprak, 2010)
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Practice
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1. Formulate problem
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Identify and read relevant theoretical and empirical articles
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Identify important, common variables, study, and measurement characteristics to assess
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Identify contradictory findings
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Decide on meta-analysis objectives
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Develop preliminary theoretical framework
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2. Collect Data
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Conduct key-word database searches
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Search references of key studies
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Manually search relevant publications
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Solicit studies from key researchers
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Post requests for articles and working papers on academic list-serves
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Develop elimination criteria
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Screen studies according to elimination criteria
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Decide whether data is sufficient to proceed with meta-analysis
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3. Evaluate Data
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Identify common metrics across studies (e.g. correlation coefficient)
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Identify key substantial and methodological study characteristics
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Prepare coding form and manual
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Code each study
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Prepare database and check for errors
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4. Analyze Data
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Conduct univariate analysis of mean effect sizes
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Search for moderators using bivariate analysis of effect sizes
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Search for moderators using multivariate analysis of effect sizes
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Construct and analyze the meta-analytical correlation matrix to test theory
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5. Interpret and discuss
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Report univariate and bivariate findings using tables and figures
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Make detailed recommendations for future research based on the findings
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matabi
Mgt69SL4-IdentificationandAssessmentofMeta-AnalysisStagesandPractices.docx
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