Testing non-nested multivariate effect size models in meta-analysis

被引：0

作者：

Timm, NH ^{[1
]}

机构：

[1] Univ Pittsburgh, Sch Educ, Pittsburgh, PA 15260 USA

来源：

JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS | 2002年 / 27卷 / 04期

关键词：

meta-analysis; non-nested hypotheses;

D O I：

10.3102/10769986027004321

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

In modeling multiple effect sizes in meta-analysis, one often wants to evaluate two linear models for multivariate outcomes by including different sets of non-nested predictors for each outcome. This results in two non-nested multivariate effect size models. In this article, we show how to test the hypothesis that a non-nested model fits a set of predictors.

引用

页码：321 / 333

页数：13

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