Raudenbush(1988)检验研究方差异质性的实证研究。

IF 2.2 4区 教育学 Q1 Social Sciences
Michael R. Harwell
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引用次数: 3

摘要

摘要对Raudenbush(1988)提出的研究方差异质性的元分析法进行了研究。该方法使用两个加权对数标准偏差(例如,治疗组与对照组)的差异作为效应量,并提供效应量均匀性的检验。研究特征和效应量之间的关系也可以被调查。虽然很吸引人,但对于以非正常数据和小研究样本量为特征的现实数据集,该程序的性能尚不清楚。蒙特卡罗研究的结果表明,即使数据是正态分布,该检验的I型错误率也对中等程度的均数分布和研究样本量与研究数量之比敏感。总的来说,这个测试不能推荐给元分析人员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Investigation of the Raudenbush (1988) Test for Studying Variance Heterogeneity.
Abstract The meta-analytic method proposed by Raudenbush (1988) for studying variance heterogeneity was investigated. This method uses the difference in two weighted log-standard deviations (e.g., treatment vs. control group) as an effect size and provides a test of the homogeneity of effect sizes. The relationship between study characteristics and effect sizes can also be investigated. Although appealing, the performance of this procedure for realistic data sets characterized by nonnormal data and small study sample sizes is unknown. The results of a Monte Carlo study indicated that the Type I error rate of the test was sensitive to even modestly platykurtic score distributions and to the ratio of study sample size to the number of studies, even if the data were normally distributed. On the whole, this test cannot be recommended to meta-analysts.
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来源期刊
CiteScore
6.70
自引率
0.00%
发文量
25
期刊介绍: The Journal of Experimental Education publishes theoretical, laboratory, and classroom research studies that use the range of quantitative and qualitative methodologies. Recent articles have explored the correlation between test preparation and performance, enhancing students" self-efficacy, the effects of peer collaboration among students, and arguments about statistical significance and effect size reporting. In recent issues, JXE has published examinations of statistical methodologies and editorial practices used in several educational research journals.
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