Confirmatory factor analysis: a knowledge management model in the public university
Abstract
Confirmatory Factor Analysis (CFA) is a multivariate model in the analysis of Covariance Structures (CB-SEM) in Social Science research. The objective of the article is to contrast a measurement model through empirical data from a sample, which theoretically reflects the characteristics of the population under study, in order to explain this confirmatory factorial technique. The methodology used is Structural Equation Modeling (CB-SEM). The research findings provide evidence of a confirmatory factorial model with four factors, supported by the SECI model of Nonaka y Takeuchi (1995). This technique has practical applications in the Social and Behavioral Sciences of scientific research.
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