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What is available to place bounds on estimates? I have variances that keep going negative. I can think of tricks to accomplish it by forcing Mplus to square the parameter, but I was wondering if there might be an easier way. Thanks, Eric |
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We usually recommend fixing small negative variances to zero and if they are not small rethinking the model. |
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Anonymous posted on Monday, October 25, 2004 - 9:29 am
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Is there any way to bound parmeter estimates between two values. I would like to restrict factor loadings to values between -4 and 4 |
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bmuthen posted on Monday, October 25, 2004 - 3:49 pm
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Yes, through a trick using Model Constraint. Tihomir suggests using the two facts that the sine function is bounded by -1, +1 and that we can work with a dummy parameter (called p1 below). For instance, in a factor model, let parameter p2 be the one to be bounded: f by y1 y2(p2); !create a dummy parameter p1 (any one will do): fdum by y1@0; fdum (p1); Model Constraint: p2 = 4*sin(p1); The estimation will then take place with respect to p1 and p2 will be the bounded factor loading. |
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MAH posted on Thursday, August 07, 2008 - 8:45 am
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Similar question with respect to boundary constraints. I want to constrain an estimate to be between 0-1. Is there an easy way to do this in Mplus 5.1? |
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You can use labeling of Model parameters and then in Model Constraint say p>0; p<1; |
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