BIASES RESULTING FROM THE USE OF AGGREGATED VARIABLES IN PSYCHOLOGY
BIASES RESULTING FROM THE USE OF AGGREGATED VARIABLES IN PSYCHOLOGY
复制标题
心理学中使用聚合变量导致的偏差
DOI：
10.1037//0033-2909.109.3.520
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发表时间：
1991
影响因子：
22.4
通讯作者：
R. C. Gardner
中科院分区：
文献类型：
--
作者：
S. Paunonen;R. C. Gardner
Perloff 和 Persons (1988) 最近指出，在回归相关分析中使用等权指数（聚合变量）将导致统计显着性检验的偏差，除非聚合的变量具有极高的相关性。参考心理测量理论，本文表明变量之间的相互相关性的大小对于使用单位权重将它们聚合成复合材料的适当性影响不大。在这方面重要的是这些相互关系的形式。 Wilks (1946) 提出了一个统计测试，该测试评估数据集中是否存在单位权重聚合的 3 个先决条件
Perloff and Persons (1988) have recently states that the use of equal-weight indexes (aggregated variables) in regression-correlation analysis will result in biased tests of statistical significance unless the variables aggregated are extremely highly correlated. Referring to psychometric theory, this article shows that the size of the intercorrelations among variables has little bearing on the propriety of using unit weights to aggregate them into a composite. What is important in that regard is the form of those intercorrelations. A statistical test by Wilks (1946) is presented that evaluates the presence in a data set of 3 preconditions for unit-weight aggregation