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Meta-Analysis: An Introduction Using Regression Models
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DOI：10.1177/0193841X12442673.png)
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摘要
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Research synthesis of evaluation findings is a multistep process. An investigator identifies a research question, acquires the relevant literature, codes findings from that literature, and analyzes the coded data to estimate the average treatment effect and its distribution in a population of interest. The process of estimating the average treatment effect is meta-analysis. Meta-analysis is gaining popularity across the social sciences, but introductions and even advanced treatments of the subject are often formula-driven. Researchers, who apply formulas without understanding, risk both misapplication and misinterpretation. This article derives formulas used in meta-analysis using standard regression models so this article seeks to introduce readers with an understanding of regression analysis to meta-analysis, intending thereby to motivate and facilitate a deeper reading of the meta-analysis literature.
Keyword:
meta-analysis
systematic literature reviews
econometrics
research synthesis
期刊
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3.7
论文数:
1.4K
被引数:
1.4K
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