2016
DOI: 10.21013/jmss.v5.n1.p4
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Grouping Characteristics of Leadership in IT and Non-IT Organizations - Factor Analysis

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“…Subsequently, factor analysis was employed as a multivariate analysis technique to uncover potential underlying factors that contribute to the co-variation observed among the independent variables within the group (43). A factor analysis using Principal Component Analysis (PCA) was then conducted to observe variables by a smaller number of factors, and the factors were extracted using the Varimax rotated principal component method to produce the uncorrelated extracted factors with the eigenvalues greater than 1.000 (41).…”
Section: Methodsmentioning
confidence: 99%
“…Subsequently, factor analysis was employed as a multivariate analysis technique to uncover potential underlying factors that contribute to the co-variation observed among the independent variables within the group (43). A factor analysis using Principal Component Analysis (PCA) was then conducted to observe variables by a smaller number of factors, and the factors were extracted using the Varimax rotated principal component method to produce the uncorrelated extracted factors with the eigenvalues greater than 1.000 (41).…”
Section: Methodsmentioning
confidence: 99%