Hi i'm new to the forum and hopefully somebody wants to offer me a bit of advice.
I'm carrying out a marketing choice experiment to estimate the effect sizes of copywriting new texts for our webshop. So to set up the experiement, i've made a webshop mockup with 4 similar products, one of which will get an four different options of desciption messages where 0 is the intiatial option and 1, 2, 3 are written by four different copywriters. As the subjects are divided into four separate groups by copy (0,1,2,3), so it's a between-subjects design for each experiment. I'm repeating this in four product categories, so in a way its either repeated measures or four separate experiments. Also, let me point out that as the respondent moves between experiments, he comes in contact with all four options: experiment 1 might test copy 0, exp2 might test copy 1 etc.
The problem is that i'm having issues analysing my own data which was produces by initial pilot testers. Basically i made a huge mistake in assuming i can analyze the choices with ANOVA but me dependant variable choice (0-3) doesn't meet any of the ANOVA requirements. I'm looking into binary logistic regression, but I'm confused as to how i should process the confusing dataset before analyzing it in SPSS.
So what i'm asking is whether I have made a massive error on my design or can this still be analyzed with meaningful and significant results on a sample of 500? How should the data be processed for binary logistic regression to measure the effects? Or can i still somehow use ANOVA? Any suggestions or comments on a better or simpler design are also highly valued. Data hasn't been gathered yet, but i'm a day away from sending out the experiment invites and have limited time to change the experiment design besides making some small changes.
Thank you for your help.
I'm carrying out a marketing choice experiment to estimate the effect sizes of copywriting new texts for our webshop. So to set up the experiement, i've made a webshop mockup with 4 similar products, one of which will get an four different options of desciption messages where 0 is the intiatial option and 1, 2, 3 are written by four different copywriters. As the subjects are divided into four separate groups by copy (0,1,2,3), so it's a between-subjects design for each experiment. I'm repeating this in four product categories, so in a way its either repeated measures or four separate experiments. Also, let me point out that as the respondent moves between experiments, he comes in contact with all four options: experiment 1 might test copy 0, exp2 might test copy 1 etc.
The problem is that i'm having issues analysing my own data which was produces by initial pilot testers. Basically i made a huge mistake in assuming i can analyze the choices with ANOVA but me dependant variable choice (0-3) doesn't meet any of the ANOVA requirements. I'm looking into binary logistic regression, but I'm confused as to how i should process the confusing dataset before analyzing it in SPSS.
So what i'm asking is whether I have made a massive error on my design or can this still be analyzed with meaningful and significant results on a sample of 500? How should the data be processed for binary logistic regression to measure the effects? Or can i still somehow use ANOVA? Any suggestions or comments on a better or simpler design are also highly valued. Data hasn't been gathered yet, but i'm a day away from sending out the experiment invites and have limited time to change the experiment design besides making some small changes.
Thank you for your help.