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  1. #1
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    Transforming skewed data without decreasing kurtosis




    Have a data set with negative kurtosis and skewness values. Have tried numerous transformations but cannot find a solution that generates acceptable skewness AND kurtosis. Anyone up for the challenge in how to transform this data into a (more) normal distribution?

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    Last edited by DrJames; 02-06-2015 at 03:23 PM.

  2. #2
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    Re: Transforming skewed data without decreasing kurtosis

    well, let's take a step back for a moment. why do you need this data to be transformed?
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  3. #3
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    Re: Transforming skewed data without decreasing kurtosis

    Is this continuous data? Interval or ratio scaled? Do you have any boundary conditions?

    You have no data below 1 or above 7. Is there something that constrains the data to between 1 and 7?

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    Re: Transforming skewed data without decreasing kurtosis

    I plan to use this data as an independent variable in a linear regression. The data is based on a Likert-scale (average of two items).

  5. #5
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    Re: Transforming skewed data without decreasing kurtosis


    then you don't care about the distribution of the variables. you care about the distribution of the residuals.

    you'll find more information about that in this article:

    http://pareonline.net/getvn.asp?v=18&n=11
    for all your psychometric needs! https://psychometroscar.wordpress.com/about/

  6. The Following User Says Thank You to spunky For This Useful Post:

    DrJames (02-08-2015)

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