For MNAR, how to know the 80% in the first place if we do not know it is actually 1 as true value? With the same logic, how to know the 70% in the first place if we do not know it is actually 2 as true value?
Hey there. In my study, six different raters evaluated the presentation skills of 70 students. All students were rated by each of the raters at four different times. I now have the following data: 6 raters x 70 students x 4 measurement times x 17 items of the questionnaire. Since the evaluation took place on the basis of videos, body language could be marked as "not assessable" in the items of the scale (if, for example, gestures could not be evaluated due to the camera setting). I rate these cases as missing values and according to your examples, I would assume that these missing values are to be assessed as MCAR, since the missing values are not related to the remaining questionnaire items. Is this assumption correct? If I want to check the MCAR, for example with SPSS, which variables do I include in the analysis? Do I analyse on the basis of all items (the remaining scales are voice, expression, confidence and engagement) of the questionnaire or do I analyse for each subscale individually? So for example all variables of the scale body language of all raters at all measuring points? Thank you very much!
Hey, can you please explain what do you mean by error rate different/same for different axes? How do I know which variable my missing value feature is sort of dependent on?
I'm not quite following the realism in the MCAR example. Why would a value be missing? When someone gets a new library card it makes sense to set their value to 0 and then increment automatically when a book turns overdue. At what point would a value go missing due to manual error?
This is the best explanation! PERFECT and friendly to my inner child. Simple, straight forward, analogue! Thank you
The perfect explanation for the problem of missing data. Many thanks!
So insanely helpful. Thank you so, so much for providing such a clear explanation!!
best explanation ever, thank you!
Thank you so much for your video! Perfect examples!
Much more clear than my lecture:) Referring USYD here opps
Great explaination! Thank you!
good job friend
Wow you made this seem so easy, thanks so much
Nicely done.! Thanks for explaining it so well.
Great explanation! thanks.
AMAZING EXPLANATION. Thanks!
Glad it was helpful!
Great video!
Best explanation. Thank you.
Very clear thank you !
Great explanation! Even for non native speaker
great video. thanks
every good vidoes! thank you !
Amazing!
For MNAR, how to know the 80% in the first place if we do not know it is actually 1 as true value?
With the same logic, how to know the 70% in the first place if we do not know it is actually 2 as true value?
Hey there.
In my study, six different raters evaluated the presentation skills of 70 students. All students were rated by each of the raters at four different times. I now have the following data: 6 raters x 70 students x 4 measurement times x 17 items of the questionnaire.
Since the evaluation took place on the basis of videos, body language could be marked as "not assessable" in the items of the scale (if, for example, gestures could not be evaluated due to the camera setting). I rate these cases as missing values and according to your examples, I would assume that these missing values are to be assessed as MCAR, since the missing values are not related to the remaining questionnaire items.
Is this assumption correct?
If I want to check the MCAR, for example with SPSS, which variables do I include in the analysis? Do I analyse on the basis of all items (the remaining scales are voice, expression, confidence and engagement) of the questionnaire or do I analyse for each subscale individually? So for example all variables of the scale body language of all raters at all measuring points?
Thank you very much!
Hey, can you please explain what do you mean by error rate different/same for different axes? How do I know which variable my missing value feature is sort of dependent on?
Very helpful
I'm not quite following the realism in the MCAR example. Why would a value be missing? When someone gets a new library card it makes sense to set their value to 0 and then increment automatically when a book turns overdue. At what point would a value go missing due to manual error?
Thank you.
Who is send here by Schober?:D