Kindly provide me good and correct definition that will be used in my dissertation.
Dear Abdel-Rahim,
The average variance extracted in structural equation modelling SEM context refers to the proportion of accurately explained variance within measured indicators by their latent factor relative to the total variance with error variance inclusive in the total , so it characterizes a trade off between accuracy and error in my humblest words , if the explained variance ( accuracy of explained shared variance) exceeds that unexplained ( error variation due to systematic , measurement and phantom error ) this is a good indication that the latent factor under study has factorial validity and discriminant validity in general, in simple words higher AVE denotes that the latent factor characterizes what it is intended to measure pretty well . Note that the computation of AVE may require you to pay good attention to the Nominator and the denominator , it gets confused with Composite Reliability quiet very often because both differ in their computational contexts .
best of luck
Mohammad
Dear Abdel-Rahim,
The average variance extracted in structural equation modelling SEM context refers to the proportion of accurately explained variance within measured indicators by their latent factor relative to the total variance with error variance inclusive in the total , so it characterizes a trade off between accuracy and error in my humblest words , if the explained variance ( accuracy of explained shared variance) exceeds that unexplained ( error variation due to systematic , measurement and phantom error ) this is a good indication that the latent factor under study has factorial validity and discriminant validity in general, in simple words higher AVE denotes that the latent factor characterizes what it is intended to measure pretty well . Note that the computation of AVE may require you to pay good attention to the Nominator and the denominator , it gets confused with Composite Reliability quiet very often because both differ in their computational contexts .
best of luck
Mohammad
From its name it is simply understood, it is all about variances among items
It is basically a measure of the variance that is extracted by the corresponding construct relatively to the amount of variance caused by measurement errors
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