在没有数据的情况下进行方差分析

IF 1 Q4 MANAGEMENT
J. Stauffer, A. Saran
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引用次数: 0

摘要

我们提出了一种在没有数据的情况下进行因子方差分析的简单方法。该方法依赖于描述性统计,即设计中每个单元的平均值、方差和样本量。我们简要地描述了这种方法如何可以很容易地推广到任何数量的因素,允许我们分析具有任何数量的相互作用的n向因子方差分析。然后,我们介绍了这种方法允许我们(a)从现有的研究中执行ANOVA,这些研究本身没有执行ANOVA, (b)结合来自多个研究的描述,以便将它们累积成一种元分析ANOVA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CONDUCTING ANOVAS WITHOUT DATA
We present a simple method for conducting factorial ANOVAs in the absence of data. The method relies on descriptive statistics, namely the mean, variance, and sample size for each cell in the design. We briefly describe how this method can easily generalized to any number of factors, allowing us to analyze n-way factorial ANOVAs with any number of interactions. We then introduce the idea that this method allows us to (a) perform ANOVAs from existing studies that did not themselves perform ANOVAs and (b) combine descriptives from multiple studies in order to cumulate them into a sort of meta-analytic ANOVA.
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来源期刊
自引率
14.30%
发文量
8
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