How to Analyze Data Nested within Groups : Comparing Multivariate Regression Analysis and MCA (Multilevel Covariance Structure Analysis)

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  • 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 -
  • 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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Abstract

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.

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