Lecture 26- Factor Analysis.
HTML-код
- Опубликовано: 22 авг 2024
- To access the translated content:
1. The translated content of this course is available in regional languages. For details please visit nptel.ac.in/tr...
The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video.
Your feedback is highly appreciated. Kindly fill this form forms.gle/XFZh...
2. Regional language subtitles available for this course
To watch the subtitles in regional languages:
1. Click on the lecture under Course Details.
2. Play the video.
3. Now click on the Settings icon and a list of features will display
4. From that select the option Subtitles/CC.
5. Now select the Language from the available languages to read the subtitle in the regional language.
Thank you very much for posting the course which help me understand Factor Analysis in a very short period of time!
Sir you have explained it in details. Very helpful for the researchers.
great video!!! This is better than how my lecturer explains data analysis. Thank you
Great videos 👌
Very well explained
Just love the method
Very Nice Presentation.
Very useful presentation
Thankyou so much sir😊😊😊 literally these 2 lectures are blessing for me.
Frankly nice explanation sir...good lecture
Thanks sir, very helpful.
Just loving your sessions professor
Good Explanation.
❤
Sir,
outstanding...
Thank you so much sir.Currently im working on it and this vedio is a blessing to me. Dear sir, can you kindly add your lecture on DID model please. your clear and detail explanation is very very helpful for new researchers like me.
Could you please compute statistics using different methods in spss?
what to do when our independent variables are of mixed scale…. For example i have likert scale responses and also discrete( 2 or 3 scale) responses…..
is there any way to perform PCA/EFA on such mixed data?????/
Great effort sir
Sir,suggest some good books as reference.
Sir,i m a phd aspirant in consumer behavior n preparing for net,the factor analysis,sem n cfa topic should i go through in detail.plz.suggest.
Sir may I get your contanct
Sir can u PLEASE share the ppt
Nicely explained