Hey!
I need some help with my analytical method in my thesis. I am doing a master thesis where I look at what characteristics municipalities that have additional costs to the Regular GP scheme have. Does the municipalities have high costs, are the inhabitants less satisfied and do the municipalities have less capacity?
I have three different data sets with the 1.costs, 2. the satisfaction and 3. the capacity, where all three data sets have background variables of the municipalities; like the number of inhabitants, centrality index and what region the municipality is in. Therefore, I do not have any municipality identifier and I cannot merge the data sets. I will have to do three separate regressions for each of the data set.
I want to investigate what characterizes the different municipalities that have additional costs to the regular GP scheme and if they are more satisfied or not, or if they have more capacity or not. Are the ones with less centrality and more costs the most satisfied for example? Is the municipalities that have the highest costs to the Regular GP scheme also the ones that are less satisfied, and the one with less capacity, is it correlated?
Do you have any recommendations or ideas on how I can do my analytical method?
Depends on your research question(s) and your DV properties. See:
https://www.bing.com/search?FORM=U528DF&PC=U528&q=what+type+of+regression. I would strongly suggest you ask your advisor. S/He is supposed to help.
Best, David Booth
Hi Alva Nilsen. You wrote:
"I have three different data sets with the 1.costs, 2. the satisfaction and 3. the capacity, where all three data sets have background variables of the municipalities; like the number of inhabitants, centrality index and what region the municipality is in. Therefore, I do not have any municipality identifier and I cannot merge the data sets."
I don't understand why you say you have no municipality identifier and cannot merge the data sets. Is there no municipality identifier in any of the 3 data sets you described? Or is the issue that they do not all use the same identifier variables? Please provide more detail.
Another thing that was not clear to me is whether all of the data is at the level of municipalities, or if some of it (e.g., the satisfaction data) might be at the level of individual citizens. Please clarify.
HTH.
Hi Bruce Weaver .
Yes, the data sets do not have any municipality identifier as the data is anonymous. I do not have right to see what each of the municipality answered in the survey of the costs. I only have those three background variables and I can divide them into municipality types like: central municipality with 10 000 inhabitants and from the south etc.
Yes, sorry. The cost data is at municipality level, while the satisfaction is what the inhabitants answered about their municipality and the capacity is what capacity each GP have.
Thanks for clarifying, Anna. With no municipality identifiers, there is no obvious way to link datasets. Are there any variables that are reported in more than one of the datasets? If population was reported in 2 or more datasets, for example, you could probably get decent (if not perfect) matching using it. Good luck!
Bruce Weaver :
Yes, both population, region and centrality is reported in all three data sets. Do you have any recommendation of what models and statistical tests I can use?
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