Dear CA experts,
I plan to run correlation analysis for several IDV (all measured using 7 point likert scale) with individual utility values, & possibly run MRA and MANOVA accordingly.
Upon reading the technical papers, I should use Normalized (zcdiff) utility values to capture the heterogeneity of my samples, correct?
Would it be the right approach to run correlation analysis for each level in attribute? Since averaging the utility value per attribute will all come to "0"?
My scenario has 5 attributes and a total of 13 levels.
Thanks for any kind of input.