According to the eigenvalue criterion, only components with eigenvalues greater
ID: 437015 • Letter: A
Question
According to the eigenvalue criterion, only components with eigenvalues greater than 1 should be selected. each component should explain at least one variable’sworth of the variability
The proportion of variance explained criterion states that the components should be selected one by one until the desired proportion of variability explained is attained.
The minimum communality criterion states that enough components should be extracted so that the communalities for each of these variables exceeds a certain threshold (e.g., 50%).
The scree plot criterion is this: The maximum number of components that should
be extracted is just prior to where the plot begins to straighten out into a horizontal
line.
Explanation / Answer
these sentences means that quantity should be selected until and unless a saturation is attained. At saturation the quantity does not varies with independent parameter.
Related Questions
Hire Me For All Your Tutoring Needs
Integrity-first tutoring: clear explanations, guidance, and feedback.
Drop an Email at
drjack9650@gmail.com
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.