Also, factor scores may be used as variables in subsequent modeling.
It is also possible to compute factor scores from a factor analysis.
The degree of correlation between the initial raw score and the final factor score is called a factor loading.
The following is a list of the items contributing to each factor score.
If an item correlates highly with the pattern of overall individual differences, then it is weighted more strongly in the overall factor scores.
The first consisted of estimating expected returns and factor scores () from historical data.
This of course does not alter the effectiveness of factor scores in accounting for behavioral differences.
The data viewed as the centerpiece of these datasets are the school climate survey variables and their associated factor scores.
When factoring a correlation matrix, the estimated answers appear as the first set of factor scores.
Also, note that factor scores are usually provided as standardized variables (mean of zero), but may be transformed back to your original data collection units.
