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Negative variance in ESEM for categor... |
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Dear Mrs. and Mr. Muthen, I am performing an exploratory structural equation modeling with categorical variables, but unfortunately, 2 of my loadings are up to 1 or very close to 1. I suppose I have negative residual variance, but I'm unable to fix the problem. I know I have to switch to theta parameterization, test if the variance if significant, and fix it to 0 if not, but I don't know how to do. Can you help me? My model is: MODEL: F1-F3 BY V1-V10 (*1); [F1@0 F2@0 F3@0]; {V1-V10@1}; Thank you |
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Please send the output and your license number to support@statmodel.com. |
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I am attempting to use ESEM to first establish fit of a model at two ages and in two groups, and to then test for measurement invariance. Variables are continuous, the sample is clustered in families. I've used the below at both ages successfully. Analysis: Type = COMPLEX; Rotation = TARGET(OBLIQUE); Model: F1 by V1 V2~0 V3~0 V4 V5~0 V6~0 V7~0 V8~0 V9~0 V10~0 (*1); F2 by V1~0 V2 V3 V4~0 V5~0 V6~0 V7~0 V8~0 V9~0 V10~0 (*1); F3 by V1~0 V2~0 V3~0 V4~0 V5 V6 V7 V8~0 V9~0 V10~0 (*1); F4 by V1~0 V2~0 V3~0 V4~0 V5~0 V6~0 V7~0 V8 V9 V10 (*1); However, when I try to examine the model in one of the groups, variable V3 has negative residual variance (nonsignificant). I tried constraining the residual variance for that variable: ! fix residual error variance to 0 V3 (vV3) Model constraint: vV3=0; However, the residual variance for V3 is still negative (though smaller than in the original model). I also tried constraining the residual variance for that variable to be greater than 0: ! fix residual error variance greater than 0 V3 (vV3) Model constraint: vV3>0; But this model doesn't converge. Do you have any suggestions for how to proceed from here? |
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Can you send the examples and the data to support@statmodel.com. You can probably resolve the problem by updating your version of Mplus. Also in the model you can use V3@0; instead of V3 (vV3); |
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I am trying to save factor scores for an ESEM using the code below. However, I received the message, "FACTOR SCORES COULD NOT BE COMPUTED. AT LEAST ONE OF THE RESIDUAL VARIANCES FOR THE CATEGORICAL VARIABLES IS NOT POSITIVE." The problem variable is Med_YN_Days. USEVARIABLES ARE Bel_Sali Intr_Rel Rel_Enga Med_YN_Days MindB_YN_Days Spir_Nat Eco_Awar Universa Psy_Love Ont_Love Soc_Lov Compassi Hum_Enga ; CATEGORICAL = Med_YN_Days MindB_YN_Days; MISSING ARE ALL (-99); ANALYSIS: ESTIMATOR IS WLSMV; ROTATION IS QUARTIMIN; ITERATIONS = 5000; CONVERGENCE = 0.00005; MODEL: F1-F5 BY Bel_Sali - Hum_Enga (*1); SAVEDATA: FILE = CategoricalFactorScores.sav; SAVE = FSCORES; When I tried to fix the variance of Med_YN_Days to zero or constrain the variance to be greater than 0, the model did not converge. Is there any way to derive factor scores from this model? Thanks for your help. |
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Please send your output and data to Support along with your license number. |
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