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Mon 6 Mar, 2023 05:18 am
I have data from 3 different sources, measuring different variables for different samples taken from the same population (a country). All of the data is from country-wide studies and should be representative of the country's population. E.g. I have data from source 1 about country-wide demographic variables (census-type), data from source 2 about certain beliefs of the population, and data from source 3 about another set of beliefs. I am comparing two countries and have the same data for each of them. I was wondering if there is any way to analyse the relationship between variables in this situation, even if from different sources, as they are all measures from the same population.
What I am trying to analyse is the relationship between the two sets of beliefs from source 2 and 3. I only need the demographic variables as there is evidence they affect the set of beliefs from source 2, so I guess I could just use the demographic details from source 2 instead off the census, but I still would need to use data from a different source for the other set of beliefs.
If it is possible to use/combine data in this way are there any sources I could read to help me through it? I am very very new to all this so sorry about the confusion.
@ouroboroa42,
It sounds like you want to do a meta-analysis - the combination of the results of several studies to hopefully get better precision. You can read up
here. Unfortunately, meta analysis requires some serious statistical skills in order to combine data sets with different ground rules and different statistical approaches. You will probably need some help here unless the studies were very, very similar.
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