SEMによる企業イメージのマネジメント : 平均構造・多母集団解析の応用(<特集>討論:共分散構造分析)

概要

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The purpose of this paper is to show a method of describing a corporate image fluctuation using factor scores derived from simultaneous analysis in multiple populations with structured means. A confirmatory factor analysis (CFA) model was applied to the independent, random samples collected in survey research conducted once a year since 1988. As a result, a multiple population CFA model, which constrained the model form, the values of factor loadings and the variances-covariance matrix of exogenous variables to be the same in all groups (1988-1997), fitted to the data well. In traditional exploratory factor analysis (EFA) models, it has been difficult to compare factor scores in different years owing to the lack of a fixed factor pattern across groups. However, structural equation modeling (SEM) settled this problem.
2002-12-25