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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Higher-order factor analysis ： ウィキペディア英語版 Higher-order factor analysis Higher-order factor analysis is a statistical method consisting of repeating steps factor analysis – oblique rotation – factor analysis of rotated factors. Its merit is to enable the researcher to see the hierarchical structure of studied phenomena. To interpret the results, one proceeds either by post-multiplying the primary factor pattern matrix by the higher-order factor pattern matrices (Gorsuch, 1983) and perhaps applying a Varimax rotation to the result (Thompson, 1990) or by using a Schmid-Leiman solution (SLS, Schmid & Leiman, 1957, also known as Schmid-Leiman transformation) which attributes the variation from the primary factors to the second-order factors. == References == * B.T. Gray (1997) ( Higher-Order Factor Analysis ) (Conference paper) * Hans-Georg Wolff, Katja Preising (2005)(Exploring item and higher order factor structure with the schmid-leiman solution : Syntax codes for SPSS and SAS ) ''Behavior research methods, instruments & computers'', 37 (1), 48-58 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Higher-order factor analysis」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.