I am studying the effect of some factors on the relationship between parents and kids. I am using a questionnaire (scores between 0 and 50) that is developed before, to study this relationship.
Earlier in the COVID pandemic, I used a random call system to contact families in a city/region with kids and I asked them the questions. Again, every 4 months for a total of one year in the pandemic, I made a follow-up call and asked the families the same questions only the parts that may have changed. For example, I did not ask about the gender of the kids again but some other factors such as income and whether they were infected by COVID changed for some families (measurements were done at baseline, 4 months later for the second assessment, 4 months later for the third assessment, and 4 months later for the fourth assessment) [in total 4 measurements]
Now, I have a list of independent variables where some are fixed and some have changed over time.
My outcome variable is continuous with scores changing between 0 and 50.
My sample size is 300
This a field study and not a lab study
My treatment variable is social distancing and the participants report how much they are following the social distancing regulations recommended by public health agencies.
I only talked to one parent from each family, I assume my experimental units are parents.
The time between measurements is approximately 4 months for all families, equally spaced
At each follow-up, I interviewed the same parent
I did all phone calls, therefore the time for each follow-up was a little different but almost the same as 4 months for each participant.
I think I need to use PROC MIXED or PROC GLIMMIXED. I appreciate your comments and suggestions and please let me know if you have any questions.
Thanks
