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- 豊田 秀樹
- 東京大学
書誌事項
- タイトル別名
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- A LEAST-SQUARES SOLUTION FOR CORRELATION STRUCTURE ANALYSIS WITH FISHER'S Z-TRANSFORMATION
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説明
The purpose of this study is to propose a least-squares method for parameter estimation using Fisher's z-transformation in correlation structure analysis. An advantage of this method in comparison with the unweighted least squares method (ULS) is that the residuals are normally distributed and their variances are homogeneous. A numerical example is given for factor analysis by using the data of Spearman (1904). Through the results of computer simulations in higher-order factor analysis, this method is shown to have less significant errors of parameter estimates than the ULS.
収録刊行物
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- The Japanese Journal of Educational Psychology
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The Japanese Journal of Educational Psychology 37 (1), 67-70, 1989
The Japanese Association of Educational Psychology
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詳細情報 詳細情報について
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- CRID
- 1390282680438162432
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- NII論文ID
- 130004709330
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- ISSN
- 00215015
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可