new subscriber here! you are explaining statistics things in a way that I can understand. I am currently doing my Masteral Thesis, and your videos are helpful. Thank you, Sir!
very nice description.sir please tell me if in the cross processing summary if in excluded block there is a number 3 instead of zero is mention then what does it mean?
How to obtain a desired inter-item correlation value? What if a scale has multiple (say 4) factors? Do I need an average inter-item for entire scale or the average inter item (say 0.3) for individual scale should be acceptable?
I feel like a loser. They told me to do 1=5,2=4,etc. LOLOLOL. But I have a question. What if you have an Cronbach's alpha of 0.83 and it says if item deleted 0.84. Should you delete the item? Or can you keep the item? I'd love to know!
why do you feel the need to improve or decrease your alpha? i mean, its your data which you got from the field.. if you get a low alpha it just mean that your work is not reliable, which by the way is not a sin.. it contributes to the existing body of knowledge that the research you did is not worth doing hence cautioning future researchers from adopting your questionnaire and your findings.
So alpha is a measure of whether or not people respond to the items in a similar enough fashion as to aggregate them into a single measure. If I have 4 items and they have a good alpha score, it means they may all be assessing a similar construct and I can average them to create a single value to represent the way people responded. If I have a low alpha score, it simply means people didn't respond to the items in as similar a fashion and therefore, it might be better to treat the items separately. Combining the items anyway, if you have a low alpha score, could mean you're obfuscating what's really going on.
