o***@hotmail.com

2020-07-04 15:06:54 UTC

I've performed a CATPCA in SPSS and wish to use the components as explanatory variables in a logistic regression.

I have finalised the CATPCA and am happy with the (5) principal components computed. However, when I attempt to extract the object scores to use in the regression model, I'm surprised to see that the values are either blank or zeros in each row.

For reference, the 14 variables used in the CATPCA are a combination of nominal, numerical and ordinal. I've defined scales, discretized and, for missing data, defaulted to exclude (and impute a mode after for correlations after quantification).

Can anybody shed some light on what, if anything, I'm doing wrong?

Am I correct in interpreting object scores as component scores?

Should I be extracting something else from the CATPCA to use in the logistic regression?

Thanks in advance.

I have finalised the CATPCA and am happy with the (5) principal components computed. However, when I attempt to extract the object scores to use in the regression model, I'm surprised to see that the values are either blank or zeros in each row.

For reference, the 14 variables used in the CATPCA are a combination of nominal, numerical and ordinal. I've defined scales, discretized and, for missing data, defaulted to exclude (and impute a mode after for correlations after quantification).

Can anybody shed some light on what, if anything, I'm doing wrong?

Am I correct in interpreting object scores as component scores?

Should I be extracting something else from the CATPCA to use in the logistic regression?

Thanks in advance.