Dear Research Gate members,
for my masters's thesis, I have conducted a questionnaire to investigate consumer's attitude towards sport sponsorship.
I've asked three identical questions concerning (1) attitude towards sport sponsorship, (2) attitude towards advertising through sport and (3) attitude towards advertising in general (same participants, only one point in time).
Subsequently, I've calculated an index for each attitude by averaging the three questions.
Now I'm interested in whether (1) attitude towards sport sponsorship significantly differs from the attitude towards advertising through sport and if (2) attitude towards sport sponsorship significantly differs from the attitude towards advertising in general. (I'm not interested in any differences between the attitude variables)
I thought about using a paired samples (dependent) t-test since I only want to compare two means.
I also thought about a repeated-measures ANOVA but I've neither treated the same entities to different experimental conditions nor I have collected data at different points in time.
In that case, do you think the dependent t-test is feasible for my questioning or do I make an error in reasoning here?
I'm looking forward to your indications and thanks in advance!
Hasanain Faisal Ghazi okay, but in how far does my scenario meet the assumptions of a repeated measure ANOVA without that I have treated participants to different experimental conditions and then measured their responses over a period of time?
Since the general ANOVA seems not feasible as, like Ltifi Moez has mentioned, this test is to compare the means between groups and I do only have one group.
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