# How to calculate values of known factors in factor analysis

I have an 18-scale item - Self-Monitoring score, with 10 items loading into Factor A and 5 items into Factor B based on previously established literature. Given that the two factors are already known, using R, how do I calculate the values of Factor A and B by doing factor rotation on the 2 eigenvector values? I'd like to use the two values as separate DVs in a regression.

For example, an average score of the 18 items will be 5, what would the score/value of Factor A vs. B be?

I am new to factor analysis and thought that it may belong to Confirmatory Factor Analysis. I am unsure of the steps needed to take to calculate the final score of the two factors drawing from the 15 items. Thank you!

• Greetings Alicia? What values do you mean? Values can be a lot of things. Aug 19, 2022 at 5:37
• Hello Shawn, by values I mean factor scores for factor A and B separately. Thanks! Aug 19, 2022 at 19:49
• stats.stackexchange.com/a/126985/3277 is a overview of factor scores computation methods. You will need loadings or factor pattern loadings + factor correlations (in case factors are oblique), and the data. The data might be your sample data while the loadings etc could as well be from literature or previous studies. Aug 19, 2022 at 21:26