1. The problem statement, all variables and given/known data I'm doing a research project in which there's a survey given to respondents from 3 different groups of education(high school vs university etc) related to STD contraction rates. On the survey there's a question asking how many STD's they have contracted over their lifetime, possible answers are 0,1,2,3, 4 or more. Respondents also had to answer questions about their socioeconomic status, parental education level, personal education level, and ethnicity. I am trying to find a correlation between STD contraction rate and those other variables using SPSS, but am unsure how to go about this. Do I use MANOVA or could I use Chi Square Test of Independence? I'm not trying to find differences between the 3 groups, I'm trying to find correlations between all of the data as a whole, otherwise I believe I could use one way ANOVA. It's been awhile since I've used SPSS. 2. Relevant equations 3. The attempt at a solution I would enter STI contraction rate as a nominal variable (categorical), since the responses of STD's contracted isn't necessarily telling you a ranking of that person. However, SES and education levels do have rankings, so I am unsure of how to proceed with the analysis. I want to not just compare two variables, I want to compare them all to see if there's any correlation.