Meta-analysis in Sociological Research: Power and Heterogeneity

被引:13
作者
Tong, Guangyu [1 ]
Guo, Guang [2 ]
机构
[1] Duke Univ, Dept Sociol, 417 Chapel Dr Soc Psych 346, Durham, NC 27708 USA
[2] Univ N Carolina, Chapel Hill, NC 27515 USA
关键词
meta-analysis; research synthesis; heterogeneity analysis; sociological methodology; publication bias; meta-regression; knowledge-cumulative process; PUBLICATION BIAS; EFFECT SIZE; META-REGRESSION; MODEL; TRANSMISSION; POLICY; SCALE; FILL; TRIM; TIES;
D O I
10.1177/0049124119882479
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
Meta-analysis is a statistical method that combines quantitative findings from previous studies. It has been increasingly used to obtain more credible results in a wide range of scientific fields. Combining the results of relevant studies allows researchers to leverage study similarities while modeling potential sources of between-study heterogeneity. This article provides a review of the core methodologies of meta-analysis that we consider most relevant to sociological research. After developing the foundation of the fixed- and random-effects models of meta-analysis models, this article illustrates the utility of the method with regression coefficients reported from two sets of social science studies. We explain the various steps of the process including constructing the meta-sample from primary studies, estimating the fixed- and random-effects models, analyzing the source of heterogeneity across studies, and assessing publication bias. We conclude with a discussion of steps that could be taken to strengthen the development of meta-analysis in sociological research, which will eventually increase the credibility of sociological inquiry via a knowledge-cumulative process.
引用
收藏
页码:566 / 604
页数:39
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