Japanese Psychological Research
Online ISSN : 1468-5884
Print ISSN : 0021-5368
直交ならびに斜交変換成分分析法によるソシオメトリックデータ解析
中村 知靖柏木 繁男柳井 晴夫
著者情報
ジャーナル フリー

1988 年 30 巻 2 号 p. 78-87

詳細
抄録

This article presents a new matrix method of analysis of sociometric data, which is more reliable and more efficient than the conventional methods in obtaining full informations relevant to the subgroup structure underlying the sociometric data. The method extracts the orthogonally and the obliquely transformed components, using the procrustean factor rotation in multiple factor analysis. First, a hypothetical target matrix is constructed by principal component analysis of the mutual choice data matrix, and then to approximate the target matrix the orthogonally and obliquely transformed components are obtained based on the choice and received choice data matrices. A tentative application to the results of a sociometric test given to junior high school students suggests that the method is adequate for extracting full informations from both types of sociometric data matrices, and for revealing the salient subgroups hidden in the matrices.

著者関連情報
© 公益社団法人 日本心理学会
前の記事 次の記事
feedback
Top