Noun
A statistical method used to describe variability among observed correlated variables in terms of one or more unobserved variables (called factors).
Usage- Uncountable
- Related words
- Examples
-
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.
More examples (2)
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.
A statistical study performed using the method.
Usage- Countable
- Examples
-
More examples (1)
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.
Noun
any of several methods for reducing correlational data to a smaller number of dimensions or factors; beginning with a correlation matrix a small number of components or factors are extracted that are regarded as the basic variables that account for the interrelations observed in the data
- Broader terms