Erratum to: Exploratory Bi-factor Analysis

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 Bi-factor Analysis: The Oblique Case.

Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford (Psychometrika 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler (Psychometrika 76:537-549, 2011) introduced an exploratory form of bi-factor analysis that does not require one to provide an ex...

exploratory factor analysis of scl90-r symptoms relevant to psychosis.

objective: inconsistent results have been reported regarding the symptom dimensions relevant to psychosis in symptoms check list revised (scl90-r), i.e., “psychoticism” and “paranoid ideation”. therefore, some studies have suggested different factor structures for questions of these two dimensions, and proposed two newly defined dimensions of “schizotypal signs” and “schizophrenia nuclear sympt...

CHAPTER 7 INTRODUCTION TO EXPLORATORY FACTOR ANALYSIS 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...