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Hello,
I am currently attempting to analyze some survey data that I recently collected (with about 1200 responses), and I am trying to figure out which tests to run to get the best info out of my data. I am attempting to help my athletic department answer two questions: 1. What motivates students to attend athletic events? and 2. What media do students use to receive athletic department information? My survey is formatted as follows:
1. In the last 12 months how many athletic events did you attend? (please select corresponding range)
2. What athletic events did you attend? (please select all that apply)
3. What are the primary reasons that you attend athletic events? (please rank in order 1 through 7, with 1 being most important and 7 being least important)
4. What promotional items influence your decision to attend athletic events? (please rank in order 1 through 5, with 1 being most important and 5 being least important)
5. Which of the following forms of athletic advertising do you find most memorable? (please select two)
6. In the past 12 months how often did you listen to athletic events on the radio? (please select corresponding range)
7. How do you receive information about athletic teams? (please select all that apply)
8. How many times last month did you visit our website? (please select corresponding range)
9. What year of schooling are you currently in?
10. Gender?
I broke questions 3 and 4 up into 7 and 5 seperate variables respectively and entered them as (3.1) most important reason, (3.2) second most important reason... (3.7) least important reason, and (4.1) most enticing promotion... (4.5) least enticing promotion.
I then used SPSS syntax code (an extremely taxing and frustrating exercise) to create new variables for questions 2, 5, and 7 that are coded 1 if the individual option was selected and zero if it wasn't. (This was especially useful for question 5 because there was an error in the sampling process that caused about 2/3 of my data to only have one option selected).
Sorry for the extremely long lead in, but this is where I currently am at. I believe that my data is now properly ready for analysis, and I have been talking with a former stat professor about how best to run my analysis. He told me that I should use crosstabs to test for patterns in my variables and to use the adjusted standardized residuals to test for independence of the variables (a value of less than 1.96 indicates that the difference in the expected and actual counts is not significant). He seemed to think that this is all of the analysis that I can/should do. I have been exploring SPSS for the last week or so, and it seems that there are so many tools available that could help me extapolate more out of my data. Any suggestions?
Thanks, and sorry again for the extremely long post!
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