Performing a Reciprocal (Inverse) Transformation to Create a Normally Distributed Variable in SPSS

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  • Опубліковано 2 гру 2024

КОМЕНТАРІ • 4

  • @shirazkhan-ou6py
    @shirazkhan-ou6py Рік тому +2

    Please mention the video where you have normalised the data with zero and negative values.

  • @gyanbahadurtamang6723
    @gyanbahadurtamang6723 7 років тому +2

    Dear Grande i got confused on interpreting the beta coefficient in regression where dependent variable had been transformed to normal by inverse transformation.

  • @afaquehussain7678
    @afaquehussain7678 4 роки тому

    Qno.1
    I have 3 dependent variables. Two of them are in range of normal skewness value i.e. +1 to -1 and have kurtosis in range of +3 to -3, but the third remaining dependent variable is not in normal range of skewnes or kurtosis. I want to transform that variable with square root transform to run parametric tests. So the question is, Can I transform that one variable only and run parametric test on the variables or I should transform all three variables before doing test? should I transform all three variables together even the two of them are already normally distributed? will it create problems to transform only one non normal variable?
    q.no.2
    Can I infer and interpret my data for normality on the basis of skewness and kurtosis only rather than gooing for shapiro wilk test?

  • @samuelogah4895
    @samuelogah4895 6 років тому

    Thanks for your clear explanation. Can the data be inversely transformed in excel simply by a formula of 1/data???