Exploratory Factor Analysis (EFA) is a pivotal statistical approach that enables researchers to uncover latent structures in complex datasets, a process that is increasingly integral to higher ...
A new study published in Frontiers of Engineering Management presents a comprehensive evaluation system to assess innovation ...
This is a preview. Log in through your library . Abstract The classical exploratory factor analysis (EFA) finds estimates for the factor loadings matrix and the matrix of unique factor variances which ...
The Annals of Applied Statistics, Vol. 7, No. 2 (June 2013), pp. 799-822 (24 pages) Sparse latent multi-factor models have been used in many exploratory and predictive problems with high-dimensional ...
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