Sorry, I did not do that earlier.GerineL wrote:As I indicated a few times before, it would be great if you could explain your variables.
You still have not done that, so it is hard for me to say whether or not education could be a continuous variable or not.
So please explain for each variable what the question was, and what the participants could answer.
Those topics are new to me, so if they are not relevant for the analysis at hand, I would rather skip them. Well, then I need to understand them and interpret it to explain it well.GerineL wrote: I don't think you need to worry about them, but you should report them in your final report.
Do you think education variable can be categorical?GerineL wrote:Ok, this explains a lot .
So in fact, you don't have scale variables as you indicated earlier, rather, you have ordinal variables.
A scale variable for age would have been:
Please indictae your age: ... (and they would just put their age in years). Now, your variables are not continuous.
That's a pity, but there is nothing you can do about that now.
I actually did logit model http://www.ats.ucla.edu/stat/spss/dae/logit.htm or http://core.ecu.edu/psyc/wuenschk/MV/Mu ... c-SPSS.PDF because I was trying to find factors which influence usage of preventive insurance(free flu vaccines, routine checkups etc.) by people having insurance.GerineL wrote: I am not entirely sure what you did earlier,
Thanks, now since I need to find which factors(age, income, education) influence this, I will look up ordered logistic regressionGerineL wrote: but in fact, ordered logistic regression is the way to go.
There is an example here:
There are lots of other casestudies online as well, I would suggest you'd take a look at those, and see if you can try to apply them to your own data. Please come back if something is still not clear.
I can report, but anything I write in a report needs to be known well by me to tackle questions about it, if they arise(which is likely). As you can see, I am a beginner so if I am not using some method, I felt I could skip it.GerineL wrote: as to reporting SE etc.: I don't know what you are doing these analyses for, but in scientific reports (papers and so forth) it is common to report these.
I will look them up.GerineL wrote:Look at this site to see differences between different types of variables.
http://onlinestatbook.com/2/introductio ... ement.html (or wikipedia)
Thanks, the book seems suitable for a beginner like me.
As to skipping the SE etc: They are actually quite relevant, it is very uncommon to not report them. Look at some case studies though, you probably have lots of them in which each of those aspects is explained.
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