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Thread: Likert Scale Analysis

  1. #1
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    Likert Scale Analysis




    Hello all,
    I am looking to apply a statistical test to some Likert data. My survey responses were scaled 1 to 5 (strongly disagree to strongly agree, with no opinion = 3). I asked 47 people a series of 60 questions each, with all questions formatted so that an answer of "5" supported a general hypothesis, while an answer of "1" would say the hypothesis is incorrrect (in other words, 60 different questions regarding a certain hypothesis).

    I tried to treat this Likert data as continuous rather than discrete, so that for each person, I calculated a "mean" answer (for instance, person 1 had an "average" response of 3.63, person 2 was 4.12, etc.). Was this an incorrect step? Can each person's mean be used, for a population of 47 means, in a classical normal distribution analysis?

    Is there a brief or paper that I can use apply a statistical analysis to my Likert data?

    Thanks,
    Elroy

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    I don't quite understand what you are doing...

    Are you trying to test 1 hypothesis with 60 questions? If so, what is your hypothesis?

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    Likert Analysis

    Hi Noscito,
    Yes, all 60 questions refer to one hypothesis.
    The hypothesis states that cost certainty for a particular type of business contract is possible. I then canvassed about 50 people in various aspects of that business sector and asked them 60 questions each.

    Each question was based on a factor or aspect that previous investigators found affected the cost certainty outcome of the business contract, and furthermore, each question was phrased so that a score of 5 strongly agreed that cost certainty is possible (based on the effect of that question's factor or aspect), and a score of 1 strongly disagreed that cost certainty is possible.

    So the outcome I am trying to achieve is "does the business sector believe that cost certainty is possible for this particular type of contract?", and I would like to be able to apply a statistical test to the result.

    Does that help?

    Thanks, Elroy

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    I think I would do as you said before, just calculate the means per respondent, and maybe do a one sample t-test.. although that is not really statiscally valid (likert scales are not normaly distributed)

    this a good website on likert scale analysis:

    http://www.uni.edu/its/us/document/stats/spss2.html

  5. #5
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    Thanks


    Hi Noscito,
    Thanks for the tip and the link to the website.

    Kind regards, E.

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