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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.
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Mažiausia kaina užfiksuota: 2026-06-03 02:25:11
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.
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