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Invariant results in measurement erro... |
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Suyin Chang posted on Friday, January 17, 2014 - 10:30 pm
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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. 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 p-values). 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. |
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I think you want to say Y1 ON L1; instead of Y1 ON x1; |
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Suyin Chang posted on Saturday, January 18, 2014 - 5:44 pm
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Dear Dr. Muthen, yes it was an unfortunate typo. I meant Y1 on L1 (of course I double-checked to see if there was any similar typo in the code, but there isn't). |
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