I have to design a proposal in order to evaluate 'cross-racial' attitudes of young people who live in a high crime area,towards gun carrying. Can I simply evaluate attitudes, and compare them across different races, or do I need to have young people who live in a low crime area to act as a comparison or a control? Would this help me determine if it's the race or the area that effects the attitude? Also, which test would I use in either of these scenarios, I'm thinking a t-test or ANOVA? Thanks!

It would help you evaluate the interaction between race and area. In other words, is the difference in race attitudes modified by the area?

So, I think it would be a good idea....

....and you would use ANOVA.

Hi John,

Thanks for replying to my last thread! Now I am confused again-I have completed my proposal, and as suggested have included participants from a low crime area as well. I have decided to evaluate attitudes using a semi-structured interview technique. However, as this will be produce qualitative data can I use ANOVA or will I have to use a package such as QSR N5? Is there any way I can transform the responses/attitudes into quantitative data?

Thanks
P.S. The interview will consist of open and closed questions.

Hmmmm....

The open-ended responses are pretty tough to deal with - maybe the frequency of "key words"?

The closed questions - if they're multiple-choice, then it's obvious.