Exploratory Factor Analysis on Bancassurance Attributes

ISSUES IN SELECTING OBSERVATIONS AND ATTRIBUTES From Exploratory Factor Analysis

Sparse Exploratory Factor Analysis.

Sparse principal component analysis is a very active research area in the last decade. It produces component loadings with many zero entries which facilitates their interpretation and helps avoid redundant variables. The classic factor analysis is another popular dimension reduction technique which shares similar interpretation problems and could greatly benefit from sparse solutions. Unfortuna...

Bayesian Exploratory Factor Analysis.

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bay...

Exploratory Bi-factor Analysis.

Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger. The bi-factor model has a general factor and a number of group factors. The purpose of this paper is to introduce an exploratory form of bi-factor analysis. An advantage of using exploratory bi-factor analysis is that one need not provide a specific bi-factor model a priori. The result of an explora...

Exploratory and confirmatory factor analysis of medical professionalism core attributes scale.

PURPOSE Evaluating the professional attributes of medical students is critical, because medical professionalism is an essential quality of a good doctor. But, few studies have examined the tools for assessing such attributes. This study analyzed factors of medical professionalism in medical students to develop standards that can assess medical professional attributes. METHODS A total of 1,508...