Factor analysis is a generic term that we use to describe a number of methods designed to analyze interrelationships within a set of variables or objects.

Exploratory factor analysis (EFA) and principal components analysis (PCA) both are methods that are used to help investigators represent a large number of relationships among interval-level variables in a simpler (more parsimonious) way.

Hence, the idea of nonlinear factor analysis should not be treated as an extension of the basic factor analysis concept, but should be considered as an inherent effort to make factor analysis more complete and useful.

Separate exploratory factor analyses using an oblique rotation were conducted on the item sets measuring task values, task difficulty perceptions, and ability perceptions.

The factor analyses clearly showed significant vectors where variables of campesino identity are related.

Consequently, exploratory factor analyses were utilized to identify a factor structure represented by the survey items.

Factor analysis

Meaning

Noun