Hi, does it make any sense to do a factor analysis when there are lots of missing values (i.e. 320 from 378 values)? After doing the principal component analysis I want to use the factors for a regression analysis and I assume it is not very useful to mix-up the variables with lots of missing values with my "correct" data without missing values. Should I omit the variables? Is there any "rule of thumb" or something else to pay attention?
Thanks a lot. Bastian . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
