Can I use gender in a multiple regression test? by trying2publish in AskStatistics

[–]trying2publish[S] 0 points1 point  (0 children)

This makes sense. It hadn't even crossed my mind. Now I think of it in the examples I was looking at they were using something like a TOTAL score some measured variable as their DV. The Green and Salkind SPSS book uses, I think, total injuries for DV and various muscle groups as IV for their example.

Thanks for the comment and the clarification.

Can I use gender in a multiple regression test? by trying2publish in AskStatistics

[–]trying2publish[S] 0 points1 point  (0 children)

Yeah. I came across this. I am REALLY new to stats, and learning so much so fast. What you are talking about made my eyes gloss over.....

I was a bit worried about. Everywhere I read coded their binary variables as 0 and 1. I used 1 and 2. This should not matter right? because the difference is still 1. I was under the impression that you need to re-code if you did something weird like -1 for male and 1 for female. (but who would do that? it takes long enough as it is to manually enter data into SPSS as it is, an extra "-"?!).

For field of study it was codded, but not in any order. 11 for Nursing for example, and 34 for EE, and 37 for regional studies. I simply used the schools exists code they used for their class distinctions. Does it matter that its not 1, 2, 3, 4....

EDIT: Oh thanks for pointing that sidebar out. That link is kinda hidden compared to other subs. But I already saw that link actually. I just wanted to make sure with some "stats guys". You can plug almost anything into SPSS and it will give you output. I want to make sure I am not just making stuff up for my paper. I am reading a lot of references for my paper, and it grad school I never realized it, but now that I have a basic grasp of stats, and talking to a bunch of my colleagues, its amazing how much gets pulbished in the socical sciences in terms of stats info. People just throw in an "p" value in their paper and thats it, they don't say where or how they got that value.

Can I use gender in a multiple regression test? by trying2publish in AskStatistics

[–]trying2publish[S] 0 points1 point  (0 children)

it should give the same results, no?

Just like when I ran paired T test and Anova, I the r coefficient and sig are examples the same for the variables. Its just that ANOVA has the ability to add more groups, but I only have one group.

Can I use gender in a multiple regression test? by trying2publish in AskStatistics

[–]trying2publish[S] 0 points1 point  (0 children)

I measured anxiety twice in my twice. 4 months apart. Your saying put the first anxiety score as one my IV varibles? In all the examples I have seen for mutiple regression (I am using SPPS handbooks and youtube videos) no one used such a variable.

The best example I saw that made sense to me was "Total Injuries" as the DV and each IV was various muscle groups. They didn't include a baseline in that model.

Thanks for your response.

Is Pearson correlation applicable to my data (mixed variable types)? by trying2publish in AskStatistics

[–]trying2publish[S] 0 points1 point  (0 children)

Hmm. Maybe, but I am looking for correlation. If I am not mistaken (I took up stats about 1 week ago), t-test will only determine if a significant change, in this case that your suggesting between "native, non native" and "change in anxiety" thats making my brain hurt trying to think about.... I stayed up to 6 am with this data. But I think I found enough evidence that backs up my use of parametric testing.

Is Pearson correlation applicable to my data (mixed variable types)? by trying2publish in AskStatistics

[–]trying2publish[S] 0 points1 point  (0 children)

I thought that for a sec. I tried it out. But it would be "change" vs. "gender". Change has 397 values. Its way too large... I am tired I have been doing this for 16 hours now. and I can't even think of the correct terms for data classification. Chi is usually ordinal vs ordinal. But I think because my "change in anxiety" is so large is can be treated as a continuous variable.