When and How To Run Kruskal Wallis in SPSS
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- Опубликовано: 22 авг 2024
- This video is about when and how to run the Kruskal Wallis test in SPSS. Kruskal Wallis is the Non-parametric equivalent of One Way ANOVA.
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Can't thank you enough for this video, it helped me so much, I have been struggling with this for weeks!
Always love hearing perspectives of other entrepreneurs, keep up the hustle! 🚀
Many thanks Dear for such a nice, easy to understand and informative video
You can get the full SPSS course on udemy directly at www.udemy.com/spss-data-analysis-spss-online-video-training-course/?couponCode=myprojectstube47 including answers to any of your questions about SPSS
MyProjects Ireland
Hello Ademola,
Please what statistical technique do think will be most appropriate for testing these hypotheses?
1. Fuel subsidy removal has no significant effect/impact on the wellbeing of the people of Kaduna North Local Government Area of Kaduna State.
2. Provision of social safety nets has no significant effect/impact on the wellbeing of the people of Kaduna North Local Government Area of Kaduna State.
Your prompt response will be kindly appreciated.
Note: the items in the questionnaire are based on Likert scale (Strongly agree, Agree, Undecided, Disagree and Strongly disagree)
thank you so much. I hope something great comes your way.. a free tasty meal!
hi, thanks so much. you video really helps than the rest i have seen.
Thank you very much for watching
hi, do you have mann whitney test video?
liza wewe we don't have the Mann-Whitney video yet, however if you want to know when to use the mann-whitney test and other tests you can sign up to our course here www.udemy.com/spss-data-analysis-spss-online-video-training-course/?couponCode=MYPROJECTS50 and to run the mann whitney test > simply go to Analyse > Non-parametric test > Legacy Dialog > 2 Independent samples when you are there, the dependent variable goes into the variable list: and the independent variable goes into the grouping variable: Hope that helps. email me info@myprojects.ie if you run into any difficulty.
+MyProjects Ireland thanks so much.
Hello,
Please what statistical technique do you think will be most appropriate for testing these hypotheses?
1. Fuel subsidy removal has no significant effect/impact on the wellbeing of the people of Kaduna North Local Government Area of Kaduna State.
2. Provision of social safety nets has no significant effect/impact on the wellbeing of the people of Kaduna North Local Government Area of Kaduna State.
Your prompt response will be kindly appreciated.
Thank you.
Note: the items in the questionnaire are based on Likert scale (Strongly agree, Agree, Undecided, Disagree and Strongly disagree)
thanks so much. I learned a lot :)
thanks for your explanation that was really helpful, But after i've done my Anova test i got 0.0 for th sig value. can you advice me on what to do ?
Hello, MyProjects Ireland!, thank you very much for such wonderful video, I have the data (5 groups) which are non-parametric, and I try Kruskal Wallis to get homogeneity of variance but it did not work out, can i still use or is there any analysis that i can use? many thanks in advance
Hello! :) It´s 2017 and stil the best video to explain the Kruskal-Wallis-Test. I´ve got a question, what if my two variables do not pass the One-Way-Anova test? In other words, my signifikant is not under 0.5? What does this means and what other Test du I need to run? :)
What does this means, exactly? :P
does that mean you can say that if you go to store 3 you are more likely to spend more than if you were to go to store 2 or 3?
hi, for a one type sample with means from different locations, can i use the kruskal-wallis test ?e;g i sampled raw milk from 13 locations, can i use the kruskal-wallis test to test for statistical difference in the means from the different locations
if the test of homogeneity of variance is not met, how do we proceed?
Thanks. May i know if the test for homogeneity P value is less than 0.05 or significant than what is the next step?
varekan keishing I have the same question...did u get an answer to that?
but I am thinking of using Linear mixed models?
varekan keishing Idah Chatindiara which analysis have you used in the end ?
+Alexandros Manolitsis if you violated the assumption of homogeneity you will need to use the Welch or Brown Forsythe test, it is under > options when you go to analyze > Compare mean > One way ANOVA
+varekan keishing if you violated the assumption of homogeneity you will need to use the Welch or Brown Forsythe test, it is under > options when you go to analyze > Compare mean > One way ANOVA
Ademola Adejare Hello
Don't I need to correct the significance level in post hoc multiple comparisons??? 3 comparisons*0.95=0.85...
where can I get blog on how to represent the results
+Peter James you can interpret your result like this "A Kruskal-Wallis test showed that there was a statistically significant difference in the level of awareness of hydrogen as a fuel between the age group 2 (25-40) and age group 1 (18-24), χ2(1) = 7.064, p = 0.008, with a mean rank score of 9.90 for age group 1 (18-24) and 26.72 for age group 2 (25-40). Age group 2 had a highly level of awareness in comparison to Age group 1". Please note that your write up style will vary depending on your referencing style, let me know if you are using APA or Havard and I can send you more information
How do i get a rank if my data is an ordinal data from a likert scale :(
+masiemai since your dependent variable is ordinal i.e likert scale, you can simply compare the mean rank for the groups. If you violate the assumption of Kruskal Wallis or your dependent variable is ordinal, use the mean rank instead of median to compare the group if you get a statistically significant result. You can also get the rank for ordinal data by going to transform > rank cases put in your variable and > click ok.
Hello,
Please what statistical technique do think will be most appropriate for testing these hypotheses?
1. Fuel subsidy removal has no significant effect/impact on the wellbeing of the people of Kaduna North Local Government Area of Kaduna State.
2. Provision of social safety nets has no significant effect/impact on the wellbeing of the people of Kaduna North Local Government Area of Kaduna State.
Your prompt response will be kindly appreciated.
Note: the items in the questionnaire are based on Likert scale (Strongly agree, Agree, Undecided, Disagree and Strongly disagree)
Hi,I have tried several methods to transform non-parametric data to pass the homogeneity of variance assumption test, but non of them worked. Would you advice using Kruskal Wallis significant result to decide on my Null Hypothesis? How can I contact you outside RUclips?
Hi Suraj, I need to understand the nature of your dependent and Independent variable. Is the variable normally distributed and you only violated the assumption of equality of variances? I need more information in order to advice you appropriately.
+MyProjects Ireland Thank you for the response. The variable is non-normal distribution and also violated the assumption of equality of variances.
+SURAJ Hi Suraj you can use a Kruskal Wallis test because you have violated 2 assumptions of one way ANOVA. You can reach me at info@myprojects.ie
+MyProjects Ireland Thank you, I have just sent you a mail.
Hie are there any more test to correct for violation of homogeniety of variences before using Kruskal Willis
R u 4rom Nigeria?