CHOOSING A TEST STATISTIC IN MULTIVARIATE-ANALYSIS OF VARIANCE
CHOOSING A TEST STATISTIC IN MULTIVARIATE-ANALYSIS OF VARIANCE
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DOI：
10.1037/0033-2909.83.4.579
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发表时间：
1976-01-01
影响因子：
22.4
通讯作者：
OLSON, CL
中科院分区：
文献类型：
--
作者：
OLSON, CL
多变量方差分析的用户必须选择几个可用的检验统计量中的哪一个作为通常的单变量F统计量的推广。回顾了有关4种最有希望的检验的功效和稳健性的统计文献，推荐KC Pillai（1955）和MS Bartlett（1939）的跟踪统计量作为一般用途。最近的一项实验报告调查显示，心理学家一直在使用第二好的统计数据，他们经常没有具体说明他们的统计数据，让读者判断其适当性。为了促进更多地使用Pillai-Bartlett统计量，给出了有关计算，有效性表和方便的F近似的信息。(45参考）（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
Users of multivariate analysis of variance must choose which of several available test statistics to employ as a generalization of the usual univariate F statistic. A review of statistical literature concerning the power and robustness of the 4 most promising tests leads to the recommendation of KC Pillai's (1955) and MS Bartlett's (1939) trace statistic for general use. A survey of recent experimental reports revealed that psychologists have been using a 2nd best statistic and that they have frequently failed to specify their statistic to let readers judge its appropriateness. To facilitate increased use of the Pillai-Bartlett statistic, information is given concerning computation, the availability of significance tables, and a convenient F approximation.(45 ref)(PsycINFO Database Record (c) 2016 APA, all rights reserved)