REGRESSION-ANALYSES OF REPEATED MEASURES DATA IN COGNITIVE RESEARCH
REGRESSION-ANALYSES OF REPEATED MEASURES DATA IN COGNITIVE RESEARCH
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DOI：
10.1037/0278-7393.16.1.149
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发表时间：
1990-01-01
影响因子：
2.6
通讯作者：
MYERS, JL
中科院分区：
文献类型：
--
作者：
LORCH, RF;MYERS, JL
涉及非正交变量的重复测量设计在认知心理学中的使用频率越来越高。研究人员通常不恰当地分析这些设计的数据，可能是因为这些设计在回归的标准教科书中没有讨论。本文考虑了分析重复测量设计的两种常用方法。有人认为，这两种方法使用不适当的误差项测试的影响，自变量。一个更适当的分析，并说明了两种替代的计算程序的分析。（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
Repeated measures designs involving nonorthogonal variables are being used with increasing frequency in cognitive psychology. Researchers usually analyze the data from such designs inappropriately, probably because the designs are not discussed in standard textbooks on regression. Two commonly used approaches to analyzing repeated measures designs are considered in this article. It is argued that both approaches use inappropriate error terms for testing the effects of independent variables. A more appropriate analysis is presented, and two alternative computational procedures for the analysis are illustrated.(PsycINFO Database Record (c) 2016 APA, all rights reserved)