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Advanced Basic Meta-analysis : Version 1.10.

Author: Brian Mullen
Publisher: Hoboken : Taylor and Francis, 2013.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
In response to the growing emphasis on precision in the summarization and integration of research literature, Advanced BASIC Meta-Analysis presents an overview of strategies, techniques, and procedures used in meta-analysis. The book and software provide an integrated and comprehensive combination of meta-analytic tools for the statistical integration of independent study results. Advanced BASIC Meta-Analysis has  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Brian Mullen
ISBN: 9781134751389 1134751389
OCLC Number: 845258691
Description: 1 online resource (184 pages)
Contents: Contents: Preface. Meta-Analysis: An Introduction. Defining the Hypothesis Test. Retrieving the Studies. Retrieving Statistical Tests of the Hypothesis. Retrieving Predictors of Study Outcomes. Combinations of Significance Levels and Effect Sizes. Diffuse Comparisons of Significance Levels and Effect Sizes. Focused Comparisons of Significance Levels and Effect Sizes (Complex Effects). Focused Comparisons of Significance Levels and Effect Sizes (Simple Effects). The Most Commonly Asked Questions About Meta-Analysis. Advanced BASIC Meta-Analysis: An Integrated Database Management System and Statistical Package.

Abstract:

In response to the growing emphasis on precision in the summarization and integration of research literature, Advanced BASIC Meta-Analysis presents an overview of strategies, techniques, and procedures used in meta-analysis. The book and software provide an integrated and comprehensive combination of meta-analytic tools for the statistical integration of independent study results. Advanced BASIC Meta-Analysis has three distinct goals: * to provide a clear and user-friendly introduction to the procedures and rules of effective meta-analytic integration; <br.

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