As mentioned in the previous topic, when the SMC setting is on, Lertap will output a row with correlations between each item and the first principal factor.  Witness:

 

istatsp-facts1

 

Lertap's first principal factor is exceedingly simple -- its initial estimate of an item's communality is the same as its final estimate: the item's SMC (no iterations are undertaken to improve on the SMC).

 

Some users may find Lertap's p-fact1 row to be a useful tool for indicating relative item loadings on the first factor, but those interested in a more complete factor analysis, or, for that matter, a complete principal components analysis, will want to step out to a program such as SPSS or SAS.

 

How to move beyond Lertap, to get Lertap's item scores into, for example, SPSS?

 

Not too difficult. Have a look here.