Hello, Hamid if I understand your problem is the preparation of data for this analysis. For this analysis it is essential that any of the measurements (time point) has a variable (column in the matrix). If you have the groups compare require one variable which will be dependent, criterion (groups, experimental and control for example.). Of course, it is a measurement of the same, dependent group of entities.
Dear Dr Krneta
Hello, Thank you very much for the prompt reply.
I want to know that can i adjust the independent variables sex, age, educational level, and marital status sisimultaneously when i am running a Repeated measures ANOVA test ?
Modern statistical packages, starting with SAS, allow both adjusted (Type I and Type II) and sequential (Type I) sum of squares. And hence adjusted mean squares in forming the F-ratio for statistical testing. Perhaps that is what you meant. Adjusting the independent variables is outside of my experience in statistics.
Why do you want to use RMANOVA? Repeated measurements, as the name suggests, are observations of the same characteristic, which are made several times
In repeated measures experimental design the following assumptions should be validated;The measurement errors are independent, and identically normally distributed withmean 0 and the same variance.The subjects are considered to be a random sample from the subject population ofinterest, so that the subject effect is random.
Dear Dr Özkan Görgülü
Thank you so much. I want to adjust some variables for instance sex, educational level and age simultaneously when i am running a Repeated measurements in SPSS. We have two groups (case-control)/ Variable dependent is a continuous variable (Three measurement). Is that possible by SPSS?
Hamid, You can do it in the SPSS with RM. You have 3 levels of measurement and a number of factors. Thus, in the input field of factors in the RM analysis, enter your basic dependent variable, which defines the control and experimental group, and gender variable also. In this way, you test the total change in time over the multivariate analysis (main effect of time), then the overall difference between the groups, and interaction of these two factors (time-groups) but also differences between the sexes and the interaction of all factors (time-group-sex). The analysis is not simple. Look for examples on the internet to be able to interpret your results. Greetings and good luck
it is possible, your variables, Sex, Gender, etc between groups in SPSS, Dependent variable (time etc.,) within variable. maybe this article "Repeated Measures Analysis and Some Experimental Design Considerations In Animal Science" may be useful to business.
Dear Dr Zeljko Krneta and Dr Özkan Görgülü, I really appreciate your help.
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