Average Variance Extracted and Composite Reliability after Factor Analysis using SPSS and Excel
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- Опубликовано: 2 дек 2016
- This video demonstrates how to calculate average variance extracted (AVE) and composite reliability (CR) after a factor analysis. In this example, SPSS is used to perform a factor analysis and Excel is used to calculate average variance extracted and composite reliability.
This video was helpful, I liked that he broke down the steps. It seemed a little easier to grasp than some of the other videos in SPSS.
This is just so helpful! I loved the way you organized your explanation visually, going through the lambda squared all along. I wish I can also be a great storyteller, such as you. Thank you.
this was great and very helpful. calculating AVE and CR is always such a pain. now I will have a go to file for every time I need to calculate them again. thanks!
thaaaaaaaaaaanks alot for your kind help, slow speed of your teaching, and full explanation of each factor and formula. thanks a lot. you helped me alot. I could never compute AVE and CR without youuuuuuuuuu
DR grande you are saving our PhD ! BIG THANKS
You explained it into details. OMG Thank you! It helps a lot!
Thank you for this video, Dr. Grande.
You're welcome!
Thank you - this was super helpful!
unbelievably helpful. greatly appreciated
Thank you!
Thank you very much, this was easy to understand and helpful.
This is a very simple explaination. The video was helpful
Thank you Dr. Grande. It helps me a lot. Do you happen to have video of how to interpreted it as well?
thank you so much sir..... It was great help.... Please also tell how to interpret the values after calculation
Thank you for the video Dr. Grande, it was very helpful. My question is what do I do if I am using previously established scales for my data and the factors in these scales have cross/ complex loadings? (I am attempting to run the EFA to calculate the AVE to compare with a scale that I developed.)
Should I:
1. Alter these previously used scales by deleting items with cross loadings until they are usable
2. Can I calculate the AVE with the main/higher loadings per factor (although this seems to give a small AVE)
Thank you for the video. It's really helpful.
You're welcome, thank you for watching
That's quite helpful... Thankyou Dr Grande.
You're welcome, thanks for watching -
Might be stupid question, but how do you know that the first four factors load under composite 1?
Your post is old, but maybe this will be useful for someone else:
As a rule of thumb, your variable should have a rotated factor loading of at least |0.4| (meaning ≥ +.4 or ≤ -.4) onto one of the factors in order to be considered important. Some researchers use much more stringent criteria such as a cut-off of |0.7|.
Found this info here: www.google.com/search?client=safari&rls=en&q=what+is+the+cutoff+for+loading+factors++using+factor+analysis%3F&ie=UTF-8&oe=UTF-8
Thank you very much. It is so helpful
You're welcome, thanks for watching -
Thank you very much Sir
Hi, thank you so much for posting this video. I've used it to calculate the composite reliability. Is there a way to also calculate the 95% confidence intervals for the CR in excel? Many thanks
Thank you so much for this video, all your work is always so helpful, and easy to understand. I have one question and it is about using the correlates in the factors. What do you do when you have a negative number? In that case lamda will be lower because the sum will include a negative number. Thank you in advance.
very helpful, thanks!!!
You're welcome, thanks for watching -
Very Helpful Video. Thanks for Sharing
You're welcome, thanks for watching -
Thankyou so much ❤️
Dear, Dr. Grande. I have a question. Is it correct to use the cross-loading method to assess for discriminant validity when the CFA is run under CB-SEM (e.g., ML, WLS, WLSMV)?
many thanks for the great video! can discriminatory validity be calculated in the same way?
Great ! Thank you
You're welcome -
Thank you for the nice video! It is quite helpful but I would like to ask you about some more details, especially about your default properties when doing the factor analysis:
1) Why did you work with "principal component analysis" instead of "principal axis factoring"? To what extent does it make any difference when calculating AVE and CR (if so)?
2) You mentioned that you use "Varimax" rotation but I wonder if you have checked or unchecked "unrotated factor analysis" in the "descriptives" section?
I would be very happy about some detailed insights and your reply. Thank you very much in advance, Sue
This question is very important. What's the answer?
Do you might have a similar video presenting how to run the same tests using stata?
Thank you for the video but I am wondering if there is another formula for calculating the composite reliability
Marvellous (Y)
Hi i got solution cannot be rotated, thus I cannot get my rotated component result. Do you know how to solve this issue?
thank you!!!!!
You're welcome, thanks for watching -
Awesome video and very helpful!
I'm glad you found it helpful - thanks for watching -
Hello can you tell me.thw interpretation of the composite rebility interpretation
Thank you for this video, Dr. Grande. Very informative. I have a question, though.
I see that the composite reliability is calculated only for the items loading in the first component. Should it be calculated similarly including all the items for a reliability analysis of the whole instrument?
Thanks in advance
Wondering the same.
Hi Dr. Grande, please could you menton why just took the 1 thru 4 items instead of all column?
Is it valid do not include factor loadings below 0.5 value?
in 2:30 what did he say? how do we choose the 4 items?
when i performed factor loading with SPSS received output as "Only one component was extracted. The solution cannot be rotated" Any mistake happded
Why don't u make stat videos dr