Common Method Bias Through Latent Variable Using AMOS(CMB)(AMOS)(latent factor)
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- Опубликовано: 21 авг 2024
- / @ashulekha
Common Method Bias Through Latent Variable Using AMOS(CMB)(AMOS)(latent factor)
#commonmethodbias#amos#latentvariable
#researchmethodology#sem#spss#AMOS#smart PLS-SEM#smartpls-sem#factoranlysis
Can you share any reference for this CMB recommended value of 0.2?
thank you so much to show how to of this but could you please share the reference of value 0.2?
Thank you! Madam!
Dear Mam, Thanks for the video. Your videos are easy to understand the concepts. I've a doubt regarding placing /constraining the CLF path with a. But Prof. James Gaskin in his videos, he has not constrained it with a. In confusion, whether to constrain the path with a or not.
Thanks.
Thanks for this great video.
As you show in the video, what should we do if there is a CMB problem in our items? Do we need to remove the relevant item or items in the CFA?
Thank you please try to drop that item then again check
@@Ashulekha ruclips.net/video/Y7Le5Vb7_jg/видео.html&ab_channel=JamesGaskin
Mr. Gaskin talks about a different method in the video regarding this issue. You can also create a video about it if you want.
@@fatihcelik7537 Thank you for your suggestion I have already created same video and compared values without common laten
Latent factor and with common latent factor to find out which item have common method bias issue please refer that video but on the other side later part of Prof. Gaskin video not incorporated definitely I will work on it.
@@Ashulekha I just wanted to point that out. The next is important. Yes, there is a problem with our item, but how do we deal with it? What will we pay attention to in the next analysis? How will we do the reporting? A video with answers to these questions will definitely help us.
Is there anything else we can do after fixing (a) in your video about the common method variance error? In some videos, factor loads are compared. If it is below .20, it is said that there is no common method variance error (is there a resource about this). Do you think this is right? In another source, the chi-square difference is checked and it is cited that if 1 df is below 3.84, there is no variance error, and if it is above 3.84, there is variance error.
Respect and subscribed! Could you teach us how to conduct Cognitive Diagnostic writing assessment through R studio, especially with Q-matrix of polytomous attributes, thanx a ton!
Thank you definitely scheduled and wait for upcoming videos
@@Ashulekha Many thanks!