I have conducted 6x2 Between the subject experiment (6 ad types and 2 personality types). basically my research hypothesize the difference between the effect of match and non-matched ads on the advertisement effectiveness.
First of all i am looking for correlation between the advertisement type and personality type for finding the level of the match.
Secondly i am using MANOVA for finding the difference in the effectiveness of Match and non-Matched advertisement on the advertisement effectiveness.
As there any other test that i can use for further enriching my results? or that could better explain my hypotheses that is (Match ads (different types ) leads to more advertisement effectiveness (three variables) than the non matched advertisement ?
Suggest you rethink using.Manova...see @Bruce Weaver for some references. Best wishes David Booth
Describe your data more. What type of data did you collect for advertisment effectiveness? You talked about matched and unmatched ads, did you collect data for three types of matched ads and three unmatched ads? If yes, what type of data did you collect. How about personality type, what type of variable is personality (independent, dependent or covariate) and what type of data was collected?
Let me know all these, then I can be useful to you.
The choose of statistical analysis based on clear description of data, dependent and independent variables.
if you have two or more -normally distributed- dependent variables and one or more categorical independent variables so, MANOVA works well.
on the other hand if all of variables are categorical, I think correspondence analysis is better choice.
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