Solutions Eliminate some redundant variables May lose important information that was uniquely reflected in the eliminated variables Create composite scores from variables(sum or average) Lost variability among the variables Multiple scale scores may still be collinear Create weighted linear combinations of variables while retaining most of the variability in the data Fewer variables little or no lost variation No collinear scales 2021/1/212021/1/21 6 cxt Solutions Eliminate some redundant variables. – May lose important information that was uniquely reflected in the eliminated variables. Create composite scores from variables (sum or average). – Lost variability among the variables – Multiple scale scores may still be collinear Create weighted linear combinations of variables while retaining most of the variability in the data. – Fewer variables; little or no lost variation – No collinear scales