I've conducted some research using ecomapping to look at the the changes to social identity both before and after diagnosis of multiple sclerosis and I want to do something with the extra quantitative data I have left from this qualitative research gathering exercise. The problem is that there are two categorical variables, Participant and Time; and to measure the relationship strength I've used a one to three line system so each participant may have 2 x "1 strength" relationships and 3 x "3 strength" relationships. The problem I'm having is how to enter this into SPSS and what analysis can I do to see if there were any changes in the strength of relationships each participant has between both and after diagnosis?
Can anyone help with this? I'm currently struggling with the field to try and figure it out.
(I can try to explain this better, if I haven't worded this very well).
Dear Alex, on the risk that I did not understand your question correctly, this sounds as if you measured each participant a number of times? If this is correct, then the method to put this into SPSS is to have as many rows per participant as measurements and an extra variable called "measure". So, for instance, I followed a football team weekly over the course of a season, taking 22 measurements from each player. In the data set, the first column indicates players' identification code, meaning that the code for a player who filled in the questionnaire 22 times, appears in 22 subsequent rows. Then the "measure" variable indicates which match the data referred to, so that you get unique constellations: code XY - measure = 1, code XY - measure = 2, and so forth. I hope this taps into your problem! Best, Susanne
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