FACTOR COMPARISON - AN EXAMINATION OF 3 METHODS
FACTOR COMPARISON - AN EXAMINATION OF 3 METHODS
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DOI：
10.1016/0191-8869(86)90008-5
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发表时间：
1986-01-01
影响因子：
4.3
通讯作者：
BARRETT, P
中科院分区：
文献类型：
--
作者：
BARRETT, P
三个系数的因素相似度被检查关于他们的行为在四组数据。使用Pearson r相关性和Tucker同余系数的两种简单方法与Kaiser， Hunka和Bianchini（1971）给出的更复杂的方法进行了比较。其中三个数据集使用了100个随机数据矩阵，第四个数据集是由艾森克利用EPQ研究跨文化人格差异的研究提供的。从结果来看，每个系数的缺点都很明显，Kaiser等人的系数总体上最有可能产生误导性的结果。然而，除了变量对余弦外，还建议使用均值解余弦作为验证Kaiser et的方法。系数。结果表明，同时使用这三个系数作为一个多重指标是解决问题的最佳方法。此外，建议采用其他心理测量指标来提高因素相似度的确定性程度。
Three coefficients of factor similarity were examined with regard to their behaviour within four sets of data. Two simple methods using Pearson r correlations and Tucker Congruence coefficients were compared with a more complex method given by Kaiser, Hunka and Bianchini (1971). Three of the data sets involved the use of 100 random data matrices, the fourth was that provided by the Eysencks'' work on cross-cultural differences in personality using the EPQ. Drawbacks with each coefficient were apparent from the results, with the Kaiser et al. coefficient being capable of the most misleading results overall. However, use of the mean solution cosine in addition to the variable pair cosines was suggested as a method of validating the Kaiser et at. coefficient. It was concluded that using the three coefficients simultaneously as a multiple indicator yielded the best solution to the problem. In addition, it was suggested that other psychometric indicators should be employed to increase the degree of certainty of factor similarity.