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;
* to present the implicit assumptions and strategies that guide successful meta-analytic integrations; and
* to develop a meta-analytic database management system that allows users to create, modify, and update a database, including the relevant statistical information and predictors, for a given research domain.
The companion software system allows users to perform a full complement of meta-analytic statistical functions with the speed and flexibility of a database management system. It can also construct a wide array of meta-analytic graphic displays. This text and software package serves as a useful introduction to the quantitative assessment of research domains for those new to meta-analyses. It is also a valuable sourcebook for those who have already conducted meta-analyses.
Table of 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.