Hello everyone!
I am in a statistics course and writing my first research paper using my own data analysis and I could really use some help determining what statistical test to use.
I am using STATA and ANES data. All of my variables are likert scale variables which I have coded -3 to 3 with 0=neither agree nor disagree/neither favor nor oppose. Some of them have -3 as strongly disagree and others have -3 as strongly agree. I did this because some of the questions treat the topic differently than others and I wanted to combine some of my variables into a scale. I also have simplified versions of the variables that are coded -1 to 1. My hypotheses are fairly simple: I expect that an increase in a certain set of IVs will predict an increase in my DV, and that another set of IVs will not correlate with my DV.
I know that from here I will do some tabs with chi-squared and set up some bivariate tables, but beyond that I am completely lost. To make matters worse, this is kind of a crash course in statistics and I feel like a lot of the things I'm seeing we haven't even covered. We have covered tabulations, chi-squared, Cramer's V, tau-b, and the following specific commands: ttest, cor, reg, logit. The only ones I really feel confident with are tab, chi-squared, cor, and reg. The UCLA site seemed to imply that I should use ologit, but I don't know if I should interpret the resulting table the same as a regular logit table, and I found sites that conflict by saying that ologit should only be used for dichotomous variables. I could recode dichotomously but I feel like I would lose a lot of the robustness of my analysis that way. I found a lot of step-by-step this-is-the-stat-test-you-should-use type sites but a lot of them conflicted, asked questions I didn't understand, or said there was no test for this type of data (probably because I answered a question wrong). I have also found a lot of conflicting information about whether or not is appropriate to treat this type of data as interval data.
Ay ay ay! Sorry, a little venting towards the end there. In short, I've been sitting here playing with variables and combing the web all day and when I close my eyes I see STATA and I'm getting nowhere. Any help would be greatly appreciated!!
I am in a statistics course and writing my first research paper using my own data analysis and I could really use some help determining what statistical test to use.
I am using STATA and ANES data. All of my variables are likert scale variables which I have coded -3 to 3 with 0=neither agree nor disagree/neither favor nor oppose. Some of them have -3 as strongly disagree and others have -3 as strongly agree. I did this because some of the questions treat the topic differently than others and I wanted to combine some of my variables into a scale. I also have simplified versions of the variables that are coded -1 to 1. My hypotheses are fairly simple: I expect that an increase in a certain set of IVs will predict an increase in my DV, and that another set of IVs will not correlate with my DV.
I know that from here I will do some tabs with chi-squared and set up some bivariate tables, but beyond that I am completely lost. To make matters worse, this is kind of a crash course in statistics and I feel like a lot of the things I'm seeing we haven't even covered. We have covered tabulations, chi-squared, Cramer's V, tau-b, and the following specific commands: ttest, cor, reg, logit. The only ones I really feel confident with are tab, chi-squared, cor, and reg. The UCLA site seemed to imply that I should use ologit, but I don't know if I should interpret the resulting table the same as a regular logit table, and I found sites that conflict by saying that ologit should only be used for dichotomous variables. I could recode dichotomously but I feel like I would lose a lot of the robustness of my analysis that way. I found a lot of step-by-step this-is-the-stat-test-you-should-use type sites but a lot of them conflicted, asked questions I didn't understand, or said there was no test for this type of data (probably because I answered a question wrong). I have also found a lot of conflicting information about whether or not is appropriate to treat this type of data as interval data.
Ay ay ay! Sorry, a little venting towards the end there. In short, I've been sitting here playing with variables and combing the web all day and when I close my eyes I see STATA and I'm getting nowhere. Any help would be greatly appreciated!!
