I have a question concerning entire population statistics techniques and time series analysis.

I will have the entire population of cases and data (the topic is electoral systems and disintegration of states in Europe after 1945).

The goal of the research is to find relation and effect between independent variables, their combinations (variables are of nominal, ordinal, interval type including those of electoral systems but also for example level of democracy, minorities etc.) and dependent ordinal variable (different states of disintegration of state) within time periods.

Time periods are different for each state respectively elections and they are characterized as a period between the elections and the next elections – for the researching the effect of independent variables on the dependent one.

I have found many statistics method but they are always mentioned for inferential statistics which is not this case because I will have the entire population and I do not want to generalize the findings for whole world and time.

Which statistics method should I use (I will use the SPSS)?

Thank you for your help (and sorry for my English) :) ]]>

so the problem is she wants to compare grade level (9th, 10th, 11th, 12th) vs the mean of a variable in spss (eg. she did a likert scale and 3 specific questions were labeled as a sexual health group. so we created variable to get the means of those three)

so im really trying to help her here, but im no genius at spss or statics. any help or response appreciated

humbly thanking you in advance for your time. ]]>

I am doing anova with repeated measures. I do get an output with this commando in STATA:

anova bloodpr treat / id| treat week treat#week repeated(week)

But i am suppose to get in gender and a interaction term between gender and treatment, and this is there where i get epic fails! I have tried about everything, and i am about to give up completely. PLEASE HELP A DESPERATE PERSON! ]]>