SPSS PCA (Part 1 KMO Measure and Bartlett Test for Sphericity)

[@marianaseer694]

superb... i was feeling alot of difficulty to explain it but now i am fully satisfied

[@emeliasarpong3219]

This is not a comment per se, but a question. Please I have six independent variables and one dependent variable. But I want to check PCA for only two of the six variables, If I am testing for PCA with KMO and the Bartletts Test of Sphericity, how should I go about it?

[@mytj6729]

So if the KMO indicates that PCA would not be useful, wouldn't it be more educative to make a recommendation of what method then would be useful ?

[@partheshshanbhag6362]

Excellent explaination.

[@kossonouprunelle7576]

Thanks for the presentation, can we do KMO test and Bartlett Test for Sphericity for a questionnaire only having categorical data (nominal and ordinal) ? Also is it suitable to do it when using Principal component analysis (PCA)

[@seanodea2763]

Great channel

[@shimelisayele3704]

How do you improve kmo value

[@norsuhaida1]

clear precise and great input!

[@syafiq_yahya]

Hello, I have some trouble with my KMO and Barlett test. When I put all my variables including my Dependent and Independent variables, my KMO table was not printed out on the output and under correlation matrix's table it says "this matrix is not positive definite", what does it mean? in less technical term. I'm in my master's level and I am not that familiar with SPSS.

[@AniruddhaMandal]

I have the same Problem

[@kammounkarama8254]

same problem :(

[@fabiovieira3236]

Have you found a solution for this problem? same problem here ahah

[@saidaniamani9439]

@@fabiovieira3236 same probleme

[@jedamupa27]

I have the same problem, but i fixed it eliminating an item that was correctly correlating with another one

[@hateyou1470]

i thot PCA or factor analysis is done for ordinal or likert scale data only.....here its done for categorical and continuous data too.....plz help !

[@yagusti_n]

Sir...l want to ask how to get df value = 36 on your output, l mean manual df calculation way to get df value = 36

[@judithkent8035]

This was very useful. Thanks!!!

[@lalkumarasiridoluweera6881]

well done!

[@marcelovhm1]

Thank you!

[@joeedisoncalliventura5258]

muy bueno

[@inggarsantiari4488]

Kmo saya tidak keluar