After coding and quantifying qualitative data, both (target and control) samples count less then 30 valid sampling units - in my case - firms' mission statements. I would like to compare their values (means, total scores) for statistically significant differences.
Hi, Marija.
Please, use the t-test statistics to test for statistical significance for your sample.
Place emphasis on the p-values lower than 10%, 5%, 1% s.f respectively
Because your smaple is small, then the assumptions for inferential statistics could be violated. Therefore, you may use Mann-Whitney U-test if you want to compare 2 groups means. otherwise, for 3 grous or more, you may use Kruskal-Wallis H test
Dear Paul, thank you very much for your explicit answer!
I'm familiar with the common statistical techniques (by using SPSS), but i have more experience in processing quantitative data, by analyzing national - representative sample surveys, where the things are very clear.
So i can say that i have certain doubts about quantifying qualitative data, especially in this particular case where my target population (total 100) turns to be downsized on half - valid sampling units.... To be honest, till now I've never used algorithms but i will read all your suggestions and try to apply them.
If i understood you well, you are offering your help for handling with my data?
All best,
Marija
Thank you Paul, your dedication and positive attitude on this topic is priceless for me!
I don't mind at all sharing here the results, and you're right, I would also like to publish this particular research.
But just to be sure that we are on a good path, as soon as possible i will send you the data (as a SPSS file - I suppose it is ok?) and the research methodology, to get the whole picture..
Dear all, although this question dated in 2015, I guess many would come to this page trying to find an answer to the same issue. I would suggest them to read this review article :
Article The use of proper statistical techniques for research studie...
it explained it clearly and to the point
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