Suyin Chang posted on Friday, January 17, 2014 - 10:30 pm
Hi, I come to ask a question about the single-indicator reliability correction for measurement error.
As I understand, the way to code a single-indicator latent variable to account for measurement error in Mplus is:
observed@theta; latent by observed@1; Where theta is equal var(observed) times 1-reliability (measured in percentage from 0 to 1).
Now, in the models I am working with, it doesn't matter how low or how high I input the reliability, not a single result in the model is affected besides the standardized coefficients and their SEs. Not the non-standardized coefficients, nor their SEs, nor the fit measures and their p-values, really nothing. And I really mean it: not a thing, even by decimals.