In my data two group of people have given list of training items to select their required contents, both these group are separated in questionnaire and they are allow to mark their required items. According to their selected marking I have used the frequencies and percentage of the respondents who select these items, I tried to see how many of them recommended which items, on the basis of percentage of respondent selection of item I tried to explain the requirement of that items for that training. Is this make sense in research or applicable ? Please anyone have used or seen such strategy, mention here for my reference and support. Thank you
From what you wrote your strategy seems ok to me.
I think it was Hans Zeisel, Say it with figures, who wrote that percentage differences are the only indicator for correlations that a nonstatistician will understand.
So, keep it simple. percentages and percentage differences are absolutely ok, in particular when you write in applied sciences.
I think both are effective. In addition, calculation of mean and standard deviation of the two groups may be useful, but it depends on your questionnaire type.
Thank you respected colleagues for your wise comments, would anyone please attached any reference using this simple technique so I can refer that in support of my point.
Thank you
Analysis of variance (ANOVA) is another methodology you can use. To get references, you can type the key words and check in Google Scholar, you can find references that are more aligned to your study or discpline.
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