集団ごとに収集された個人データの分析 - 多変量回帰分析とMCA(Multilevel covariance structuree analysis)の比較 -
書誌事項
- タイトル別名
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- How to Analyze Data Nested within Groups : Comparing Multivariate Regression Analysis and MCA (Multilevel Covariance Structure Analysis)
- 集団ごとに収集された個人データの分析--多変量回帰分析とMCA(Multilevel covariance structure analysis)の比較
- シュウダン ゴト ニ シュウシュウサレタ コジン データ ノ ブンセキ タヘンリョウ カイキ ブンセキ ト MCA Multilevel covariance structure analysis ノ ヒカク
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Recently newly developed analyses have been used to analyze data nested within groups. In this study, organizational climate was measured by two subscales, Management (M) scale and Frankness (F) scale. The M scale dealt with how well members manage their clubs, while the F scale assessed how members can liberally express their opinions or attitudes. Multivariate regression analysis and MCA (Multilevel covariance structure analysis) were used to discuss relationships between organizational climate and occurrence of thoughtless behaviors (Organizational thoughtless and Interpersonal thoughtless), and were compared with these results. Result of MCA showed that the relationships between organizational climate and occurrence of thoughtless behaviors was different from those between person level and group level.
収録刊行物
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- 名古屋大学大学院教育発達科学研究科紀要. 心理発達科学
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名古屋大学大学院教育発達科学研究科紀要. 心理発達科学 53 171-176, 2006-04-20
名古屋大学大学院教育発達科学研究科
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詳細情報 詳細情報について
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- CRID
- 1390290699486183680
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- NII論文ID
- 110006440514
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- NII書誌ID
- AA11505296
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- ISSN
- 24341258
- 13461729
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- HANDLE
- 2237/9476
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- NDL書誌ID
- 8815639
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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
- IRDB
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用可