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Is there a short example how to interpret StdYX of a given parameter? My explanation for Std is like that: Model: Y=aX+bZ+c MPlus Y ON X + Z; Output Std (a): a/Var(Y) Std (b): b/Var(Y) So Std is just parameter/Var(latent variable). But I have no idea what I should devide by the estimates to get StdYX. The user's guide just gives "[...] These coefficients are standardized USING the variances of the cont. latent variables as well as the variances of the background AND/OR outcome variables." 1) What does USING mean? 2) What does AND/OR mean? 3) Is there anything special about StdYX in multilevelregression analysis? Thank you for a short explanation and an equation how to compute StdYX from parameter estimates. Florian Fiedler. 

bmuthen posted on Sunday, January 22, 2006  9:56 am



In regression of y on x you simply create Stdyx from the raw slope b as usual, Stdyx = b * SD(x)/SD(y) Then the Stdyx value has the regular interpretation: how much of a y SD the y variable changes for a 1 SD change in x. The text you referred to tries to cover more general cases than standard regression, including latent variables. 


So far I understand it. But I'm interested in regressions containing two or more observed variables another (2level) variable is regressed on. And since it's a dependent variable on two levels it's getting a bit more complicated I guess ... The model I've got now is the following: WITHIN ARE X1 X2 X3 X4; BETWEEN ARE Z1 Z2 Z3; WITHIN Y ON X1 + X2 + X3 + X4; BETWEEN Y ON Z1 + Z2 + Z3; How is, for instance, StdYX for variable X1 computed and interpreted? Sorry for being impatient, will I get answers on the questions 1) (USING = sum of variances; product of SDs?), 2) and 3)? Thank you for your work (even on sundays). Florian Fiedler. 

bmuthen posted on Sunday, January 22, 2006  7:42 pm



StdYX for X1 in your example uses as the SD(x) and SD(y) of my example, the estimated withinlevel SDs of x1 and y. Hope that helps. 


1) What does USING mean? Multiplying or dividing. 2) What does AND/OR mean? Observed variable variance when no latent variables in the model  both observed and latent variable variances when latent variables are in the model. 3) Is there anything special about StdYX in multilevelregression analysis? No. 

Fred Smyth posted on Sunday, February 05, 2006  12:02 pm



How can I constrain two parameter estimates to be equal, but with opposite sign? Thanks, Fred Smyth 


Use the MODEL CONSTRAINT command and say: p1 = p2; 

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