SPSS (8): Normal Distribution Test in 3 Approaches

[@wafulamaraka7334]

Very educative! Kindly provide the data for practice

[@ИмяФамилия-г9у3ч]

Bro you saved me!! Thanks a lot! 💪

[@zdjkd6921]

great!!

[@birdtutty]

Thanks a lot! Very clear explained.

[@RESEARCHHUB]

Thank you!

[@chacanuag]

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

[@devakithankam3720]

THANK YOU SO MUCH...GOOD EXPLANATION.

[@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?

[@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

[@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

[@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.

[@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 ?

[@Uncommonrealist]

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

[@saranyaelangovan7866]

Very informative

[@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

[@SF-fj6rr]

THANK YOUUU

[@hiruniperera672]

is read dependent variable?

[@RESEARCHHUB]

Here, we are doing it regardless of type of variable. See th-cam.com/video/oivd9ekbAnA/w-d-xo.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.

[@fathimathasleema1415]

,👍👍