

Invariant results in measurement erro... 

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Suyin Chang posted on Friday, January 17, 2014  10:30 pm



Hi, I come to ask a question about the singleindicator reliability correction for measurement error. As I understand, the way to code a singleindicator latent variable to account for measurement error in Mplus is: observed@theta; latent by observed@1; Where theta is equal var(observed) times 1reliability (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 nonstandardized coefficients, nor their SEs, nor the fit measures and their pvalues, really nothing. And I really mean it: not a thing, even by decimals. My code is precisely this: MODEL: X1@2.8; L1 by X1@1; Y1 on X1 X2 X3; Where var(X1) = 3.4 All results from the above specification are identical to: MODEL: X1@0; L1 by X1@1; Y1 on X1 X2 X3; With the exception of the standardized results (coefficients and pvalues). Is it something that can sometimes happen? Is there any known reason for such behavior? Thanks for any tips you may have, and for your time. 


I think you want to say Y1 ON L1; instead of Y1 ON x1; 

Suyin Chang posted on Saturday, January 18, 2014  5:44 pm



Dear Dr. Muthen, yes it was an unfortunate typo. I meant Y1 on L1 (of course I doublechecked to see if there was any similar typo in the code, but there isn't). 

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