Factor Analysis: Illustration with Practical Example in Minitab
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- Опубліковано 21 лип 2024
- Solve complex data problems easily with Multivariate Analysis at: vijaysabale.co/multivariate
Factor Analysis, Factor Analysis in Minitab, Multivariate Analysis, Multivariate Tools
Hello Friends,
In the last video, we saw the 1st multivariate analysis tool in Minitab software, i.e. Principal Components Analysis, with the help of a practical example.
In this video, we will learn the 2nd tool of multivariate analysis in Minitab software, i.e. Factor Analysis, with the help of a practical example for easy understanding and better clarity.
This video consists of the following topics:
• What is Factor Analysis (FA)?
• Data considerations for Factor Analysis (FA)
• Example of Factor Components Analysis
• Conduct Factor Analysis (FA) in Minitab with a practical example, including:
1. Number of factors to extract
2. Method of Extraction: Principal components and Maximum likelihood
3. Type of Rotation:
None
Varimax
Quartimax
Equimax
Orthomax with γ:
4. Graphs:
Scree Plot,
Score plot for the first 2 factors,
Loading plot for first 2 factors, and
Biplot for the first 2 factors
• Detailed interpretation of results from Principal Component Analysis (PCA), including:
Unrotated factor loadings
Rotated Factor Loadings and Communalities
Large loading and Small loading of factors on variables
Categorization of data
% of variation explained by each factor
% of variation explained by all factors together
Detailed interpretation of Loading plot for the first 2 components, and
• The conclusion from the analysis.
I am sure you will be liked it.
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0:00 Introduction of Factor Analysis
1:57 Data Considerations for Factor Analysis
2:55 Example for Factor Analysis in Minitab
3:44 Conduct a Factor Analysis in Minitab
4:53 Selection of all options while performing Factor Analysis in Minitab
8:19 Interpretation of Factor Analysis in Minitab
And finally, thank you for watching…
#factoranalysis #FactorAnalysisMinitab #Multivariate #MultivariateAnalysis #MultivariateTools #leansixsigma #learnandapply #successfulcareerhub #sixsigma
You videos are so much helpful and very easy to understand. Thanks and it up 🙏!
I am glad that it is helpful ☺
Thank you so much for your valuable comments and appreciation 🙏🙏☺
Very nice presentation with clear explanation of each steps. This is my 1st experience easily explaining the table results of multivariate . Thanks.
Glad it was helpful!
Thankyou very much! Nice example and your speed is very comfortable.
Thank you so much for your valuable comments and appreciation!
Excellent !!! Now only clearly understood this concept for me thanks
That's great!
Thank you for your valuable comments and appreciation ☺🙏
I never usually comment. But this helped me a lot. Thanks a TON!
That's a great appreciation for me. Thank you so much for your valuable comments 🙏☺
simple and clear explanation thank you
Thank you so much for your valuable comments and appreciation!
Your comments are important for us🙏
Brilliant yet so simple
Thank you so much for your valuable comments and appreciation 😊🙏
Nice and helpful video, thank you!
Thank you so much for your valuable comments and appreciation ☺🙏
Please make videos on NMD, ANOSIM, ANCOA. and GLM
Please explain the output results of diagram also which revealed in PCA/CCA/NMD etc
Thank you very mch for this clear clarification🤗🤗🤗
Your welcome and thank you so much for your appreciation!
Thank you very much, nice explanation with video, and very clear
Thank you so much for your valuable comments and appreciation!
how do you add more observations
?
Very nicely explained 👏
Glad you liked it!
Thank you so much for your valuable comments and appreciation! 😊🙏
You can also check out the detailed program in Multivariate Analysis at vijaysabale.co/multivariate
Thank you gr8!
Thank you so much for your valuable comments and appreciation ☺🙏
If you want to use factor loadings in a regression, do you use all the scores from each variable on all loadings, or do you use the two, three, or four values you identified belonged to each variable? Is there an academic source that says the right way to do it?
Yes, you can clearly see that in data considerations for Factor Analysis. For Factor loading we will take variables with higher coefficients. As Factors are arranged in descending order of their contribution, for factor loading we will consider first 2 factors.
I like your videos! However, I think it would be better if you would give your viewers the copy of the data. It can be in either Google Sheets or what. In this way, we could also solve it on our own while watching the tutorial.
Thank you so much for your valuable comments and appreciation 😊🙏
For detailed supporting data to practice, lifetime access to content, and handholding support with weekly calls, you can visit my Learning Management System successfulcareerhub.com/courses
thanks!
Thank you so much for your valuable comments.
Thank you very much for your very informative video! I have one question regarding transformation of the original data (at the individual level) based on the factor loadings. After performing factor analysis on my data (100 participants, 12 variables), I extract four factors that seem to comprise the 12 variables. Now I wish to return to the original data and transform the individual responses based on the factor loadings so that I can see if individual demographics, such as education level or age, affects the factor structure. Can you tell me how I might go back and transform each individual's data based on these factor loadings/scores? Thank you very much in advance for your help.
Thank you for your valuable comments and appreciation!
As you have found out 4 factors, these are the groups of 12 variables considered.
Now, consider the factors which will be having top contributions with the influence of more than 80% and treat them as an individual variable for data collection and analysis.
@@learnandapply Thank you for your prompt reply! I'm sorry to not have explained myself well but the data I have has already been collected. I have tested 110 participants on 12 variables, at two separate time points. I wanted to do factor analysis at both of these time points to see how the factor structure changes from time point 1 to time point 2 and to see if how that structure changes might be related to individual variables like age or education level.
Please conduct the factor analysis for both these times separately and compare their components for a combination of variables and their contributions.
By comparing them, you can see whether they are resembling the same group and contribution.
make a video on kansei engineering plz
Hello Sir, Thanks you for all your videos. I have a question, I have all my 6 subjects marks from 1st std to 10th std. I want to analysis that which subjects I have performed better. Which Analysis method should I use? Thank you
Thank you so much for your valuable comments and appreciation!
Please use the Boxplot for this analysis as a graphical tool.
I tried Factor analysis using my data and keeps giving me an error message as "* ERROR * Must have more (nonmissing) observations than variables". my question is how do I add more observations when I don't have none in the data set? ( urgent help needed please)
Simply, add it to your worksheet.
When I tried Factor analysis, it gave an error message as "* ERROR * Must have more (nonmissing) observations than variables". Anyone could kindly explain what is the reason for having such an error message?
It simply means the observations are fewer. Please add more observations to your data.
how do you that please?
Good
Thank you so much for your valuable comments.
hi sir , hope you are good , sir i tried many times to do factor analysis with maximum likelihood method , when i put total 10 variables in variables box and then all i did u said in this vedio but when i click ok to execute with same settings you did , then appears a message of error "*ERROR* MUST HAVE MORE (NONMISSING) OBSERVATIONS THAN VARIABLES. so i tried with 9 out of 10 variables in variables box , then it performs , but results are not matching to book example , so kindly tell me where i am doing wrong
Hi Abeel,
Thank you for detailed message.
Can you please check the 10th variable that you had removed?
Is it contain non-missing data? That can be the situation.
Please check once and reply me. Thank you and have a great day.
No , the 10th variable have 10 values
It doesn’t contain non missing observations
May I send you the data
But how ?
Ok, please send it to my email address. You can get it in the about section.
Thanks sir, that was indeed one of the simplest explanation.
Although sir I got a doubt.
What should be done after doing the factor analysis.
I mean now that we have got four factors and we identified which factor explains nest which three variables.
So what should we do after that?
Thank you for your valuable comments and appreciation!
Once you complete the analysis and got the combinations, validate that for the next few cycles.
After evaluation, you can use it for future decision making.
@@learnandapply thanks sir.
That answer was helpful.
Can't we have any manually done problems?
The calculations are somewhat tedious, but let me have a something conceptual video on this. Thank you so much for your valuable comments 😊🙏
I think this video can help you know how it is coming: ua-cam.com/video/XvV7AwLF8v4/v-deo.html
you keep pronouncing 'condensing' as 'considering' but otherwise good explanation
Can u healp me in my research
Sure. How can I help you?
@@learnandapply i am doing research about accident which occure by driver behavior .i need to help me how i analysis the data