Duncan Multiple Range Test (DMRT) with Compact Letter Display
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- Опубликовано: 15 июл 2024
- In this video, I have demonstrated how to perform the Duncan Multiple Range Test (DMRT) in SPSS, and gave detailed interpretations of the result outputs including the sequence of how to use the Compact Letter Display to interpret the DMRT results.
The content of this video is detailed and comprehensive, and the interpretations have been simplified to the grassroots and you are hereby advised to watch this video to the end.
The application of the compact letter Display is technical and usually confusing. But, in this video, I have demonstrated how you can be able to do it easily and present your results in a table with the Compact Letter Display.
After you have seen this video, you will be able to perform the analysis with your own dataset and be able to make necessary interpretation and reach conclusion based on your objective(s).
In my usual way, I have provided the necessary synopsis, which introduced you to the topic and terms associated with it, especially for those who are new to this kind of analysis. So, it is important that you patiently see the introduction/synopsis before delving into the analysis proper.
Below is the video timeline provided to enable you move faster based on your area of interest:
TIMELINE:
0:00 - 5:42 Synopsis/Introduction
5:43 - 8:46 Demonstration in SPSS
8:47 - 28:07 Interpretations
28:08 - 29:16 Remarks
If you wish to contact me directly for business purposes, such as Private SPSS Tutorial, or Data Analysis, please use this address to reach me: asktitocan@gmail.com
The two videos referred are:
1. Introduction to SPSS Software for Beginners Part-1: • Introduction to SPSS S...
2. Analysis of Variance in SPSS (Effect size and Interpretations): • Analysis of Variance i...
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The best video I have ever seen to understand compact letter display ❤❤
This is the best video concerning DMRT in spss.... Well explained
Aureka, finally I found it, Mr Mark this video and your careful explanation is the best, it has saved me from many years of trouble.
Thank you.
Best explanation
best video
Great Video, Very Useful Video🤗
I don’t usually comment on videos, but when I do, the video is awesome! :) Thanks for the only information you gave us on the whole internet!
Wow. God bless you abundantly. You have saved me from embarrassment
Thanks for your useful comment, and I am glad you found the video useful.
Best video with clear en detailed explanation, superb!! Helps me a lot, appreciate ur hard work :D
clear cut 100% I find for 2 years how to write abcdefg... on my results 😅😂 I appreciate you ❤❤❤
Mark, you saved my academic life! I really appreciate the video that I have ever seen the most understandable one so far. Good luck!
Thank you for your kind comment. Please, share the video so others can also learn. God bless you and your studies. Amen!
Thanks for your amazing explaination
I really appreciate your clear explanation. This is a life saving video
itx good to see your video again...
the way you deliver is amazing...keep loading videos ..i wait for them
Thank you so much 😀
Thanks for this explanation
Thank you so much sir🎉
very nice, thank you !
Thank you so much
This is very good
The best. ... Thanks.
This is very helpful 😭
❤
hi at @21:47 you mentioned that the water clarity similar at station 4 due to repeated value. can u explain why?
a lovely teaching ! please do it by r software on RCBD and other design
Sure I will
LOVE THIS !!! Thank you from Malaysia. Can you advice me for data analysis? I need to test hormone at 4 different concentration, whether individually or in combination with silver nitrate. Total of 8 treatment will be tested. After 4 weeks, i want to observe plant responses based on 4 parameter ( shoot number, shoot length, root number and bud number). What kind of data analysis i should adopt for this experiment? Do you think MANOVA is ok? Thank you.
Dear Nina,
Thanks for your useful comment. If you can send your data and research objectives to me at "asktitocan@gmail.com", I should be able to advise you better. But, if you may like us to help you with the data analysis, we may have to charge you.
Thank you.
Titocan
(for Titocan Mark Solutions)
Wow👏👏👏👏👏👏👏👏👏👏👏👏👏.
Great video, thanks! How did you run the one-way ANOVA with string variables though? (stations)
String variables are nominal variables and so they are categorical. It is not possible to run any analysis with a string variable. The mandatory thing to do is to assign quantitative numbers to the cases. My video on "Introduction to SPSS for Beginners (part-1) will be useful to you in this regard. Thank you.
I got 11 subsets. For which i get letters from ‘a’ to ‘k’ in COMPACT LETTER DISPLAY. is this possible/correct?
What is the length of your data or how many cases does your data have? However, if you can share your data, please kindly send it to me on asktitocan@gmail.com for me to take a look at it.
The sequence of giving letters can be from right to left also? What thing decide letters direction?
Kindly follow the instructions in the video and you will be fine. Thank you.
Sir i am having difficulty to do perform stats when there are more cells please explain 2 way amova with more than one column say different ph or days and more than one treatments (rows) . Please explain for alteast four each ie rows and columns.
I shall be highly thankful. 😮
Thanks for your comment. Please, kindly rephrase your query so that it is clear enough to gratify help. Thanks
Hi Mr. Mark. Thank for this video. I'm using spss 21 version to analyze my data through the Duncan multiple range test. After analyzing my data, the results doesn't come with posts hoc homogeneous subsets. It only bring the descriptive statistics and the ANOVA table. What do you think is the problem? Can you help me with this problem cause I need to analyze my data using DMRT
I would hardly appreciate your timely response. Thanks
If your analysis result didn't come with the post hoc table of results, it means there was no significant difference between or among your variables. Even when you tick the box for a post hoc test, except there is a significant difference, the table of results for post hoc will not be produced. So, let me ask you now, is the value of your P-Value less than .05?
@@TitocanMarkSolutions the P value isn't less than 0.05
Since the P-Value is not less than .05, it means that there is no significant difference and therefore the analysis will not produce the post hoc table of results. But, if the P-Value is less than .05, then the post hoc results MUST be produced to help identify where the significant difference lies.