Dr. Christiansen, thank you very much. Your videos have been super helpful. Do you know if it is possible to conduct a single reliability analysis for a complex survey with 12 subsections measuring about 12 different constructs? Is that what you meant by OMEGA TOTAL? I hope to hear from you.
Thank you very much for this video. Thanks to it I realized how calculating omega values in R can be simple. However, I have a question. I don't understand why the Cronbach's Alpha value in the psych::omega() function is different from the value returned by the psych::alpha() (which is the same as that of ltm::cronbach.alpha()'s). Would you happen to know that, by any chance?
I think it is because the alpha it gives (using the omega function) is the standardised alpha rather than the raw alpha so they can be a bit discrepant
Dr. Christiansen, thank you very much. Your videos have been super helpful. Do you know if it is possible to conduct a single reliability analysis for a complex survey with 12 subsections measuring about 12 different constructs? Is that what you meant by OMEGA TOTAL? I hope to hear from you.
Omega hierarchical will tell you the amount of reliable variance that is caused by an underlying factor across your survey
So, for single factor or total scale, should we just report OMEGA TOTAL?
Yes
what application did you use
Thank you very much for this video. Thanks to it I realized how calculating omega values in R can be simple. However, I have a question. I don't understand why the Cronbach's Alpha value in the psych::omega() function is different from the value returned by the psych::alpha() (which is the same as that of ltm::cronbach.alpha()'s). Would you happen to know that, by any chance?
I think it is because the alpha it gives (using the omega function) is the standardised alpha rather than the raw alpha so they can be a bit discrepant