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Hao Duong posted on Thursday, May 22, 2008 - 7:09 pm
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Dr. Muthen, I compare three models: linear, quadratic, and piecewise model. When I run a quadratic model, the result appears as follows: THE MODEL ESTIMATION TERMINATED NORMALLY WARNING: THE RESIDUAL COVARIANCE MATRIX (THETA) IS NOT POSITIVE DEFINITE. THIS COULD INDICATE A NEGATIVE VARIANCE/RESIDUAL VARIANCE FOR AN OBSERVED VARIABLE, A CORRELATION GREATER OR EQUAL TO ONE BETWEEN TWO OBSERVED VARIABLES, OR A LINEAR DEPENDENCY AMONG MORE THAN TWO OBSERVED VARIABLES. CHECK THE RESULTS SECTION FOR MORE INFORMATION. PROBLEM INVOLVING VARIABLE BMI12. Does this warning influence the result accuracy? Should I say this model is not appropriate or I can use its BIC to compare with BIC in other models? Thank you Hao |
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Consider the text of the printed WARNING, for instance look at the Theta estimate for BMI12 - is it negative? If so, you may want to modify the model. |
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cchien posted on Monday, April 26, 2010 - 8:04 am
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I got the same warning messages when running an EFA with complex survey design. I am just wondering what else I can do if the variable showing in this warning message should be included in my analysis. Thank you. |
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Please send the full output and your license number to support@statmodel.com so I can see the exact situation. |
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When the theta matris is not positive definite due to a residual correlation greater r where |r| >= 1, are there any general suggestions for what to look at? I am hoping for pointers and likely culprits to change or check to address the residual correlation issue. I can certainly send output and license info for this particular model, but I have run into the issue before and searched the discussion boards looking for general suggestions without much luck. I thought a general question might be useful to me and other users. |
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This message is usually due to some model misspecification. With a residual correlation greater than one, it may point to the need for more factors. |
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Thanks Linda! |
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Dr. Muthen, I am receiving this error: WARNING: THE RESIDUAL COVARIANCE MATRIX (THETA) IS NOT POSITIVE DEFINITE. THIS COULD INDICATE A NEGATIVE VARIANCE/RESIDUAL VARIANCE FOR AN OBSERVED VARIABLE, A CORRELATION GREATER OR EQUAL TO ONE BETWEEN TWO OBSERVED VARIABLES, OR A LINEAR DEPENDENCY AMONG MORE THAN TWO OBSERVED VARIABLES. CHECK THE RESULTS SECTION FOR MORE INFORMATION. PROBLEM INVOLVING VARIABLE D1HILED. This variable is being used as an auxiliary variable. I cannot see where the problem is in my output. Can you please help me? Thanks, Danyel |
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Please send the output and your license number to support@statmodel.com. |
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Eiko Fried posted on Tuesday, June 24, 2014 - 2:21 am
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Dear Dr Muthens, We are running a comparison of two groups regarding their correlation structure, using the WLSMV estimator. > grouping is cond (1=control 2=widow) > model: > s1 with s2-s11; > s2 with s3-s11; etc. We receive the "RESIDUAL COVARIANCE MATRIX (THETA) IN GROUP x IS NOT POSITIVE DEFINITE" warning for two variables. In tech1, there seems nothing wrong with the theta values of those variables. What could be the problem? Can the error be ignored? |
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Please send the output and your license number to support@statmodel.com. |
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Jahun Kim posted on Monday, December 14, 2015 - 2:06 pm
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Dear Dr. Muthens, I got the same warning messages, when running an LCA with (6- year) longitudinal repeated design. The error was involved with a variable (gsic) should be included in my analysis. I ran gsic@6 then replaced with gsic*. Please see written syntax below. PLOT: SERIES= asic(0), bsic(0.5), csic(1), dsic(1.5), esic(2),fsic(3), gsic(6); Type=plot3; MODEL: i s q|asic@0, bsic@0.5, csic@1, dsic@1.5, esic@2, fsic@3, gsic@6; I'm wondering what else I can do to fix the error and get a better model fit. Thank you! |
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Please send the output and your license number to support@statmodel.com. |
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