Mann-Whitney U Test in SPSS

[@sayKhann]

you are doing great work, i have always found your tutorials comprehensive, detailed and practical with examples

[@DrGrande]

Thank you and thanks for watching.

[@billiemcgovern976]

This is not an independent sample, you have used pre and post test scores therefore the non-parametric test is Wilcoxon Signed Ranks is it not?

[@marisamaguire8136]

This video was very informative. I was not familiar with the Mann-Whitney U test, so I appreciated the simple description and demonstration of how to properly conduct the test in SPSS. It was interesting to learn the difference between a parametric and nonparametric test, in which case a parametric test refers to the statistics we use in counseling such as the ANOVA and requires continuous or scale data, for example, the use of interval or ratio data. Whereas, nonparametric tests allow you to perform similar calculations using ordinal and continuous data. I found the presentation was very easy to follow. Thank you so much for the new information, I will definitely be referring back to this video in the near future!

[@tamarabakergibbons5715]

Mann-Whitney U test was great! I got excited when I saw the second option, which displayed the hypothesis test summary, numbers, and options to retain/reject the null. After clicking on it the frequencies pop up.Thanks for the video.

[@silvertea2623]

Dr. Grande helping me with uni! U the man dr. Grande

[@amandavalentino8182]

Dr. Grande- This video was very helpful in understanding the Mann-Whitney U test. I thought that it was very interesting to learn that there are differences between a parametric and nonparametric test. You gave a clear understanding on how to use this test in SPSS and would be helpful for long term studies.

[@brittanyhoffman8068]

Thank you for sharing this video Dr. Grande. Even though I have taken a course in my undergraduate that used spss, I have never heard of a mann whitney u test. Thanks for the explanation and demonstration of a mann whitney u test.

[@rosasutton8472]

I appreciated this video. I had little, if any, knowledge of the Mann-Whitney U test and am happy to have watched this.

[@chelseareeve36]

Thank you very much for this video! Very easy to understand the differences between the kruskal wallis h test and the mann-whitney U test using SPSS. It was helpful to see the different ways of looking at the statistics to derive meaning.

[@sabiaanjum8372]

Thank you so much Dr. Grande. Really appreciate the way you explain the concepts. Have seen your other SPSS videos as well. Gonna recommend my friends to learn from your videos!!

[@jagdishsharma1719]

Dr. You have explained MWU test in easy to understand way. I am a beginner in the discipline. However I will be happy to know how to report for medians for figures you have shown in APA style. Second, is it a good practice only to discuss the medians values when the mean rank are available.

[@ashleymogle2700]

Thank you for the video! I took a data and statistics course in undergrad, but we never talked about the Mann-Whitney U test.

[@drmdishaq]

Very helpful; Thanks Dr.Grande. May I please ask you how we can calculate or find out the 95% confidence intervals for the effect size estimated by Mann-Whitney U test by SPSS?

[@atharjaveth5688]

Very informative…..Thank you so much….Can you explain how to report the findings of Mann Whitney, Kruskal Wallis test and Friedman test in findings part of the thesis?

[@narjesjaafar3201]

Hello did you post video of the effect size?

[@FlowJunkie65]

Awesome video, thank you Dr. Grande.

[@wknajafi]

dear sir. thanks for wonderful videos you share. but would you kindly please explain the difference of mann whitney u test results for pretest using the two different methods in this video. using nonparametric test legacy dialog for pretest M-W-U = 974.000 and z = -.311 while using nonparametric test independent samples the result of M-W-U = 1,051.000 and z= .311. but with posttest the results were similar. Thanks.

[@constantinifrim1184]

Hello! How to apply the non-parametric u-mann-whitney test for two samples EE:5,7,6,9,8,7,10,4,3,6,7,8 and EC:4,8,5,7,10 ,10,3,4,7,9 ? (values ​​associated with scores obtained). What other tests can I apply to this data? Thank you!

[@Hasan-zw6kr]

Thank you for your video but i wanna know about the difference between real mean score for different groups and mean ranking from the test result. I expect your kind response

[@C4rL72]

I actually love you, this has just made me pass my R.M MSc

[@kalyanis5398]

Hey! the vdo was of great help. But I have hypothesis, an alternate hypothesis and a null hypothesis so how should I apply the test for that?

[@jdm1970]

Thank you Dr. Grande. Which test would you run if there are three groups - for example my sample is n=150 with three groups for gender, m, f, nb. I was trying to run this test to see if scores on two Likert scales showed significance between the genders. and then wanted to run it for education (6 groups). Might you know how to accomplish this?

[@lynn2882]

What if I want to compare the difference between the pretest and posttest between the control and intervention group?

[@ljb7743]

Thank you!!! This test can remplace the MANOVA in case of non normality?

[@FocusFrequencies101]

Hi , I have done a cluster analysis for 6 variables from a survey. Do I need to do a factor analysis as well? confirmatory or exploratory ? how to do Cronbach analysis ?

[@heavenlyblessed2044]

Hi Dr. Grande,Do you have videos on Kaplan-Meier and Cox Models?Thank you!

[@z.s6845]

Hi, why isn't my mann whitney u value showing? It says .00 however, another person using the same data as me got an actual value

[@nz19771190]

In this case I think you should use Wilcoxon, if you have pretest and posttest, they are related right?

[@billiemcgovern976]

that was what i thought

[@ruthfontanilla2783]

i guess the problem here asks if there is a significant difference BETWEEN GROUPS (Control and CBT) during pre and post, thus, this qualifies for a Mann-Whitney U. On the other hand, if the study or problem asks if there is a significant difference BETWEEN PRE-TEST AND POST-TEST then we are bound to use Wilcoxon (provided there is no assumption of normality and the data included ordinal level of measurement).

[@tammywitzke6642]

Very helpful video, clear and easy to understand.

[@MelbourneMaster]

I get an error stating: "There are not enough valid cases to perform the Mann Whitney U test". What am I missing?

[@krisnaseng]

Hello Dr. Grande! I survey student grade 1-3, and their perception about study. eg. how do you confident in reading? 0= no confidence, 1=slight confidence, 2=Moderate, and 3=High confidence (1-4), My question is there any differnt btween on the confident bewteen student grade 1, grade 2 and grade 3? so what do you suggest the best way to analyst this? again thansk very much! I am look forward to hear from you. Would Mann-Whitney U test best for this? or Kruskal-Wallis H test? other method?

[@pulsar01z]

Helpfull for my ordinal measured data, thanks!

[@carolkirby9558]

Very interesting, very helpful, very clear. I wanted to watch some nonparametric alternatives having completed my research paper with a parametric test. I see value in tests that allow for variables other than interval and ratio. No doubt nominal and ordinal are not optimal but sometimes they are all that is available.

[@ihafizrahim]

how when the data is 6 group?

[@ariesema]

dr, how about if i have only one group treatment that have pretest n posttest?

[@sufiahazila1032]

Rosmawati Zainal yes. I face the same problem too. What you do then?

[@sajansv2513]

Test the hypothesis of no difference between the groups by using Mann- Whitney U test with the help of the following data Scores obtained by educated women on attitude towards health 59, 60, 61, 64, 63, 51, 52, 55, 53, 57, 56, 54, 52, 64, 56, 54, 58, 56, 62, 60, 57 Scores obtained by uneducated women on attitude towards heath 53, 63, 63, 58, 60, 62, 66, 65, 64 can u plz solve this for me thank u

[@munazzamirza4179]

Thank You Sir, extremely helpful video.

[@worldofinformation815]

Great, Thank you Sir🌹✔👍

[@sn9751]

Very very Very helpful lesson , ManY Thanks

[@DrGrande]

You are quite welcome -

[@Archana-ss3yc]

Thank you so much ....

[@yahya89able]

Thank you a lot a lot a lot Dear, you helped me a lot .

[@DrGrande]

You're welcome, thanks for watching -

[@naiska_thesis9431]

THNX A LOT!!

[@billiemcgovern976]

This is not an independent sample