Testing Distributions for Normality – SPSS (part 1)

I demonstrate how to evaluate a distribution for normality using both visual and statistical methods using SPSS.
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16 replies
  1. milester1000
    milester1000 says:

    Hi, great video! What reading suggests that the K-S test in no longer a valid test?

  2. Germán Cipriani
    Germán Cipriani says:

    Which are the reasons about you said that Kolmogorov-Smirnov test is not good?

  3. Jordon Swain
    Jordon Swain says:

    Do you have a tutorial on how to check for multivariate normality using Q-Q plots with a Chi-Square distribution and residuals?  I have seen mention of both a GUI method and a syntax method, but can't get it to work.  I can save residuals when conducting a MANOVA, but the Q-Q plot with chi-square distribution doesn't work.  SPSS says it can't make the graph due to some of the residuals having negative values…any suggestions?

  4. Indrajeet Patil
    Indrajeet Patil says:

    I agree that both the tests employed in SPSS to check for violations of assumption of normality are really poor and I regret of having used them in the past. I then foolishly used non-parametric tests when, as you show in your other videos, the t-tests and ANOVAs are pretty robust to such violations.
    I found D'Agostino-Pearson test (implemented in MedCalc) to be a much better test for the purpose that experimenters usually have in mind. It takes into account the sample kurtosis and skewness. 

  5. Yan yan
    Yan yan says:

    Hi, if half of the demographic data with p value <0.05, but many outcome measures in pre-test with p value> 0.05, then i should use non-parametric or parametric test???????
    THANKS 🙂

  6. Hellotherejim
    Hellotherejim says:

    A very useful video for my dissertation, I was just wounding if you could let me know the references you have used to support the use of Shapiro-Wilk test for determining normality in data.  Thank you

  7. KineKeys
    KineKeys says:

    This video was one of the most helpful tutorials during my dissertation process. Thank you for taking the time to help others!!!

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