Dr Husson, thank you for the depth and the quality of your analysis. Can we perform Multiple Correspondence Analysis in panel data when data is recorded in different points in time ? or it is the case that multiple correspondence analysis is applicable only to cross section data.
Thank you, What if I have preprocessed the data with one-hot encoding when using MCA? Do any methods that support PCA mixed with MCA? Since in some data, there are both continuous variables and categorical variables.
Hallo Mourtada, to extract data from a survey i.e questionnaires, you will need to develop a data mask either in excel or directly into the software y0u intend to use for data analysis
Hi There! Great video. I am wondering if the questionnaire ( 2003 INSEE Survey) itself is available online. In fact, I want to know whether the hobbie question is a multiple choice or if it is a yes/no question. Even tough I am reading the section 3.7.1.1 Designing a Questionnaire: Choice of Format of your book, I am still in doubt how to deal with multiple choice and overlapping questions in MCA. Do you have any other material or video that explain that? Thanks in advance.
A variable is the gender and the categories are Male and Femele. j is the j-th variable and there is a total of J variables. k is the k-th category and there is a total of K categories (from all the variables)
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Great for introduction into MCA, thank you.
Super explication, merci d’avoir pris le temps de l’enregistrer!! Très clair et utile!
Great video. thank you Francois!
Thank you so much for this! Looking at some survey census data now for research.
This is really great! Thank you!
Dr Husson, thank you for the depth and the quality of your analysis.
Can we perform Multiple Correspondence Analysis in panel data when data is recorded in different points in time ? or it is the case that multiple correspondence analysis is applicable only to cross section data.
非常感谢~
Hi, Can MCA be used with likert scales?
Hi, in your video 5:09, is that one-hot encoding?
That is the way to encode data when performing MCA.
Thank you, What if I have preprocessed the data with one-hot encoding when using MCA? Do any methods that support PCA mixed with MCA? Since in some data, there are both continuous variables and categorical variables.
You can use the function FAMD (factor analysis for mixed data). It handles continuous and categorical variables simultaneously.
Thank you, I found FAMD is a function in FactoMineR package. I have processed the data with one-hot encoding.
it is very informative can you help me get mca for asset index ??
Hello Sir, Thanks for this video but I need help on how I can extract data from the survey. Thanks
Hallo Mourtada, to extract data from a survey i.e questionnaires, you will need to develop a data mask either in excel or directly into the software y0u intend to use for data analysis
Hi There! Great video. I am wondering if the questionnaire ( 2003 INSEE Survey) itself is available online. In fact, I want to know whether the hobbie question is a multiple choice or if it is a yes/no question.
Even tough I am reading the section 3.7.1.1 Designing a Questionnaire: Choice of Format of your book, I am still in doubt how to deal with multiple choice and overlapping questions in MCA. Do you have any other material or video that explain that?
Thanks in advance.
A multiple choice variable is handled with as many variables as there are choices. And then, each new variable takes the values yes or no.
I don’t understand what the letters mean for eg - j J I k etc
I is the number of individuals
J the number of variables
J the number of categories
François Husson thank you
You're adorable. Even though I don't understand much, I think it has to do more with me than you. Nonetheless, thank you for your videos :)
I find your notation very confusing. What is J, j, K, and k. What is the difference between a category and variable?
A variable is the gender and the categories are Male and Femele. j is the j-th variable and there is a total of J variables. k is the k-th category and there is a total of K categories (from all the variables)
Impossible to understand