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Adding constraints improved fit in ne... |
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Ads posted on Tuesday, October 29, 2013 - 3:39 pm
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I have run 2 path analysis models, where I constrained a few parameters to 0 in the second model. As expected, the chi-square and SRMR worsened slightly, but the CFI and RMSEA actually improved slightly when adding constraints. Is this possible or reflective of a common error? I have pasted both models and some corresponding fit index results below (where the only differences between the 2 models are the constraints are added to relationships when predicting Y2 and Y4). Thank you! Model 1 - Fewer constraints MODEL: Y1 ON X1 X2; Y2 ON X1 X2; Y3 ON X3 X4; Y4 ON X3 X4; X1 WITH X3@0 X4@0; X3 WITH X2@0; Loglikelihood H0 Value -2324.189 H1 Value -2318.040 Chi-Square Test of Model Fit 12.298 RMSEA 0.028 CFI 0.981 TLI 0.962 SRMR 0.062 Model 2 - Added constraints MODEL: Y1 ON X1 X2; Y2 ON X1@0 X2@0; Y3 ON X3 X4; Y4 ON X3@0 X4@0; X1 WITH X3@0 X4@0; X3 WITH X2@0; Loglikelihood H0 Value -2324.949 H1 Value -2318.040 Chi-Square Test of Model Fit 13.817 RMSEA 0.000 CFI 1.000 TLI 1.025 SRMR 0.068 |
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It is not an error that constraining some parameters can give a better CFI and RMSEA. |
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Ads posted on Wednesday, October 30, 2013 - 7:33 am
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Thank you! |
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