Exploratory Factor Analysis with SAS

Exercises

1. Examine the GDS data for the two types of outliers. Conduct frequency distributions of the variables (they should all be 0 or 1) and visually scan the data for specific response patterns that might be problematic (e.g., all 0 or all 1). Conduct an EFA using ULS extraction and direct oblimin rotation, extracting five variables. Determine whether there are any variables that might be outliers.
2. Replicate our analysis to impute missing data for a subsample of the SDQ data. Use the syntax presented at the bottom of this section to select the subsample of N=300 and generate a nonrandom missing sample by changing all responses of 6 on Eng1 to missing. Then use the code presented in the chapter to impute the missing data and run the ...