# Category Archive for: Factor Analysis

The key statistics associated with factor analysis are as follows: Bartlett’s test of sphericity. Bartlett’s test of sphericity is a test statistic used to examine the hypothesis that the variables are uncorrelated in the population. In other words, the population correlation matrix is an identity matrix; each variable correlates perfectly with itself (r = I)…

Read More →

Mathematically, factor analysis is somewhat similar to multiple regression analysis, in that each variable is expressed as a linear combination of underlying factors. The amount of variance a variable shares with all other variables included in the analysis is referred to as commonality. The covariation among the variables is described in terms of a small…

Read More →

Factor analysis is a general name denoting a class of procedures primarily used for data reduction and summarization. In marketing research, there may be a large number of variables, most of which are correlated and which must be reduced to a manageable level. Relationships among sets of many interrelated variables are examined and represented in…

Read More →

In analysis of variance , regression, and discriminant analysis ,one of the variables is clearly identified as the dependent variable. We now turn to a procedure, factor analysis, in which variables are not classified asindependent or dependent. Instead, the whole set of interdependent relationships among variables is examined. This chapter discusses the basic concept of…

Read More →

Back to Top