SPSS (8): Normal Distribution Test in 3 Approaches

Normality Test in SPSS
This video shows how to test normality assumption of data in SPSS using plot, descriptive and normality tests. In SPSS, the skewness and kurtosis statistic values should be less than ± 1.0 to be considered normal.
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[@wafulamaraka7334]

Very educative! Kindly provide the data for practice

[@birdtutty]

Thanks a lot! Very clear explained.

[@RESEARCHHUB]

Thank you!

[@user-yy8kj2st8j]

Bro you saved me!! Thanks a lot! 💪

[@chacanuag]

Thanks for the explanation! really helped me!!!!

[@devakithankam3720]

THANK YOU SO MUCH...GOOD EXPLANATION.

[@saranyaelangovan7866]

Very informative

[@SF-fj6rr]

THANK YOUUU

[@pygmalion80]

Thanks for the clarification! What if Skewness and kurtosis are in an acceptable range but the Sig value is still 0.00? Can we still say the data is normally distributed?

[@RESEARCHHUB]

That is very unlikely

[@pygmalion80]

@@RESEARCHHUB Even in 5-point Likert Scale questionnaires ?

[@jasvirkaur6619]

Hi
My variables are assessed on Likert scales. I am applying stepwise multiple regression analysis. Is it crucial to satisfy the normality assumption?
I applied one sample kolmogorov test and Asymp sig value came out to be zero, does it say that my data is not normal?

[@beautyisinmind2163]

can we check normality for individual independent variables only? or normality should be checked between independent vs dependent?

[@RESEARCHHUB]

most important is to check normality of the dependent variable

[@ravinathrathnayake2190]

if kurtosis value is near .300, along with the skewness near 0, (in your case .196), can we conclude that the data is normally distributed?

[@RESEARCHHUB]

yes, thats a good indication

[@komalchaudhary16]

skewness and kurtosis value should be between which values 0-1?

[@RESEARCHHUB]

In SPSS, the skewness and kurtosis statistic values should be less than ± 1.0 to be considered normal. For skewness, if the value is greater than + 1.0, the distribution is right skewed. If the value is less than -1.0, the distribution is left skewed.

[@musiqueami4469]

so if Kolmogorov Smirnov or/and Shapiro Wilk indicate rejection of the null hypothesis, but Levene test does indicate 'equal variances assumed', how do i move further to my analysis? Parametric or no parametric test? this is my case. Thank you

[@RESEARCHHUB]

If you sample size is large enough, and histogram looks rather normal, then go for parametric. You can also report non-parametric test results as additional robustness check

[@Uncommonrealist]

Is there a way to get residuals from the linear mixed model??

[@fathimathasleema1415]

,👍👍

[@hiruniperera672]

is read dependent variable?

[@RESEARCHHUB]

Here, we are doing it regardless of type of variable. See ruclips.net/video/oivd9ekbAnA/видео.html

[@RESEARCHHUB]

Also, consider joining this free course researchhub.org/course/spss-for-beginners/

[@hiruniperera672]

@@RESEARCHHUB can i do the normality distribution test for the dependent variable using this?

[@RESEARCHHUB]

@@hiruniperera672 yes, of course.