Faktoranalüüsi
Faktoranalüüsi, also known as factor analysis, is a statistical technique used to identify underlying relationships between observed variables. It is commonly employed in fields such as psychology, sociology, and market research to reduce the complexity of data by identifying a smaller number of unobserved latent variables, or factors, that explain the variance among the observed variables.
The primary goal of factor analysis is to determine the structure of relationships within a set of
There are two main types of factor analysis: exploratory factor analysis (EFA) and confirmatory factor analysis
Factor analysis is a powerful tool for data reduction and interpretation, as it helps researchers to identify