Reliability and Validity (Convergent, Discriminant) Measures
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- Опубликовано: 21 авг 2024
- Reliability and Validity are concepts used to evaluate the quality of research. They indicate how well a method, technique or test measures something.
Reliability is about the consistency of a measure. Cronbach’s α and Composite Reliability (CR) are the two main measures of reliability.
Validity is about the accuracy of a measure. Convergent Validity (measures of the same constructs) and Discriminant Validity (measures of the distinct constructs) are measured by Average Variance Extracted (AVE).
What is the next step if we see that convergent validity is not valid? (less than 0.50) 1) Do we delete? 2) Or do we report it? 3) How do we explain this in the APA format?
1) how do we report in the paper if we have convergent or discrimant issues? 2) what is the solution if we if we have convergent or discrimant issues?
Sir in F1 one value 0.772(vertical) is greater than 0.699 that means here also we are having issue of discrimination validity
Yes, you are right. Thanks for the identification.
As m also agree m also comment the same thing after view
Very good sir
Thanks and welcome
Sir f1 f1 value is .699 but it is less than vertical value 0.772 so its also discremental problem
Sir, duringF3 correlation horizontal is less, in that case what to do? How to improve the correlation?
if there is a discriminant validity issue in the measurement model, what's the solution?
There are several trial & error approaches. 1. remove the item having low loading (
SIR, WHAT IS THE NAME OF THIS METHOD OF CALCULATING DISCRIMINANT VALIDITY, hTMT, CROSS LOADING OR ANY OTHER METHOD
Fornel and Larcker (1971) by comparing the square
root of each AVE in the diagonal with the correlation coefficients (off-diagonal) for each construct in
the relevant rows and columns.
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how to add stat tool package in excel
File, Options, Add-ins, Analysis ToolPack, Go, OK
didnt understand
how to root out the problem if the AVE is less than 0.50?