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Thread: Analysis of two data sets ranked by importance

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    Analysis of two data sets ranked by importance




    I would like to test a hypotheses based on whether two data sets, ranked by order of impotance, are ranked the same. One will be ranked using secondary data from literature and one by way of a research survey. In other words are the rankings are distributed equally between both groups. Which test would give me the most meaningful result?

    Many thanks

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    Re: Analysis of two data sets ranked by importance

    I have worked out by the way that a non parametric test may be best. I think the data is categorical as well (it's a list of success factors for a particular activity). Would a Mann-Whitey U test be suitable?

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    Re: Analysis of two data sets ranked by importance

    Anyone? I don't have a stats background so I'm finding it difficult to pinpoint the best approach. Thanks

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    Re: Analysis of two data sets ranked by importance

    If I understand your scenario, either the Wilcoxon signed-rank test or the Sign test should work.

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    Re: Analysis of two data sets ranked by importance

    Many thanks. The scenario is this: I am going to do a lit review to identify 10 critical success factors underpinning a particularly business activity. I'm there going to rank them from most to least critical based on my findings. Following this, I'm going to conduct a survey of professionals working in that particular field and I'm going to ask them to independently rank the 10 factors I found in the literature. I then want to compare the two rankings to test the null hypothesis that they are ranked the same by both groups. Will the Wilcoxon test achieve this? Thanks

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    Re: Analysis of two data sets ranked by importance

    As long as you can pair the data, Wilcoxon will work on ordinal data.

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    Re: Analysis of two data sets ranked by importance


    Would a frequency distribution work as well? For example, total up each of the 10 success factors based on how they have been ranked to find the most the least important. Factor 1 was ranked 1st 12 times, 2nd 6 times, 4th 2 times and 7th 1 time, factor 2 was ranked 1st 2 times, 2nd, 4 times, 5th, 9 times etc etc. So once I have all the totals, I can then place them in order based on the total number of time they were placed 1st, 2nd, 3rd, 4th, 5th, 6th etc.

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