MODERATOR VARIABLES IN PERSONALITY-RESEARCH - THE PROBLEM OF CONTROLLING FOR PLAUSIBLE ALTERNATIVES
MODERATOR VARIABLES IN PERSONALITY-RESEARCH - THE PROBLEM OF CONTROLLING FOR PLAUSIBLE ALTERNATIVES
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DOI：
10.1177/0146167292182001
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发表时间：
1992-04-01
影响因子：
4
通讯作者：
LEHN, DA
中科院分区：
文献类型：
--
作者：
HULL, JG;TEDLIE, JC;LEHN, DA
替代变量问题是人格研究中常见的问题。 在相关设计的限制下，一个特定的人格变量总是可能与一个特定的行为有关，因为两者都与第三个不可测量的结构有关。 在这种情况下，研究人员经常使用涉及测量潜在替代品和协方差分析或多元回归的设计来统计“控制”它们的影响。 不幸的是，当使用这些技术来控制替代变量的调节影响时，一些研究人员似乎使用了错误的协变量。 这些研究者输入一个线性协变量，而事实上，假设一个替代调节因子需要输入一个协变量相互作用。 作者详细阐述了这一论点的逻辑，并提供了一个实证例子。
Alternative variable problems are common in personality research. Given a restriction to correlational designs, it is always possible that a particular personality variable is related to a particular behavior because both are related to some third, unmeasured construct. This being the case, researchers often use designs that involve the measurement of potential alternatives and analysis of covariance or multiple regression to statistically "control" their influence. Unfortunately, when using these techniques to control for the moderating influence of an alternative variable, some researchers appear to use the wrong covariate. These researchers enter a linear covariate when in fact the postulation of an alternative moderator requires the entry of a covariate interaction. The authors elaborate the logic of this argument and provide an empirical example.