- #1
Carole
- 3
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Hi everyone,
I was wondering if someone could help with the following:
I am doing my undergraduate project and have collected two sets of answers following a survey, which I would like to compare.
The questions (29 of them) are mostly Likert style, some allowing for multiple responses.
I wanted to use percentages, but am not sure I can as area 1 n1=31 and area 2 n2=34. For example for one of the question the number of responses "I agree" were of one only in each area, which gave me the following percentages:
area 1 = 3.2%; area 2 = 2.9 %
So it seems that area 2 is under-represented.
Can I still use percentages, is there anything to "adapt" my data? Or should I add n1 and n2 so 65 in which case I would get the same % per response, in the example cited above 1 response would equal to 1.5% in each case?
Alternatively, a friend suggested a two sample t-test but if I remember properly this is for the mean, and I believe the median is more appropriate? Also, I would like to keep it as simple as possible to avoid biting more than I can chew really!
Thank you very much, I hope that I made sense, I would appreciate an answer in as plain English as possible as I will get lost in the jargon otherwise!
Carole
I was wondering if someone could help with the following:
I am doing my undergraduate project and have collected two sets of answers following a survey, which I would like to compare.
The questions (29 of them) are mostly Likert style, some allowing for multiple responses.
I wanted to use percentages, but am not sure I can as area 1 n1=31 and area 2 n2=34. For example for one of the question the number of responses "I agree" were of one only in each area, which gave me the following percentages:
area 1 = 3.2%; area 2 = 2.9 %
So it seems that area 2 is under-represented.
Can I still use percentages, is there anything to "adapt" my data? Or should I add n1 and n2 so 65 in which case I would get the same % per response, in the example cited above 1 response would equal to 1.5% in each case?
Alternatively, a friend suggested a two sample t-test but if I remember properly this is for the mean, and I believe the median is more appropriate? Also, I would like to keep it as simple as possible to avoid biting more than I can chew really!
Thank you very much, I hope that I made sense, I would appreciate an answer in as plain English as possible as I will get lost in the jargon otherwise!
Carole