One Way ANOVA in JAMOVI - Concept, Interpretation, and Reporting

One Way ANOVA in JAMOVI - Concept, Interpretation, and Reporting. The video focuses on the concept of One-Way ANOVA, the interpretation of results, and how to report One Way ANOVA results from JAMOVI.
#ResearchCoach #OneWayANOVA #ReportingOneWayANOVA

[@RenaMuse27]

Thank you sooooo much!!! This is SO CLEAR!!! GREAT WORK!!

[@researchwithfawad]

Thanks. I am glad you liked it

[@brightscholars]

Much appreciated

[@researchwithfawad]

Thank you

[@vruttijoshi5336]

Thank you so much for this video!! In the post-hoc test if the mean difference is a negative value, how can it be interpreted?

[@researchwithfawad]

Pleasure. Negative means that tue second group has higher mean value. For example if you are comparing 2 and 3, if three has higher mean, this will result in negative mean difference

[@akorsamuel4394]

Thank you so much Prof for this great work. Please can you clarify me on something? I performed a One-way ANOVA on my results and p value was greater than 0.05. The normality check also showed that p value was greater than 0.05. However, the homogeneity test shows that p value was less than 0.05. What does that imply? Thanks!

[@researchwithfawad]

Thanks. I am glad you liked it.
Please watch this video
ua-cam.com/video/QAR-IhJLyp8/v-deo.html

[@Alhamzah_F_Abbas]

Thank you, prof. looks like Jamovi has limited options, is that mean better to rely on SPSS?

[@researchwithfawad]

Spss is better because it has many options..

[@mufazilali9294]

Which one is simple easy spss or bluesky or jamovi

[@researchwithfawad]

Every software offers its own advantages. SPSS is widely used and has a number of good tutorials available. But is costly. Both JAMOVI and BlueSKy are free. I personally found Jamovi easier to use but it has limited option. BlueSky has more options.

[@mufazilali9294]

@@researchwithfawadok sir

[@mufazilali9294]

So sir in this test data has neither normality nor homogeneity so u not run tukeys test. So i too should run same test

[@researchwithfawad]

If you data violates assumptions, then alternative is Kruskal walis

[@mufazilali9294]

If data is not normally distributed but homogeneity in varaince

[@researchwithfawad]

Use Kruskal Wallis for the r more than 2 groups

[@mufazilali9294]

If the size of sample are equal but not normally distributed . but there is homogeneity we can use parametric anova. He also gives refrence author i dnt remember name 1968 date