The observed variables are modelled as linear combinations of the potential factors plus "error" terms, hence factor analysis can be thought of as a special case of errors-in-variables models.

The correlation between a variable and a given factor, called the variable's factor loading, indicates the extent to which the two are related.

A common rationale behind factor analytic