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Cross-lagged model with two time points |
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nyu6 posted on Friday, September 04, 2015 - 7:35 pm
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I¡¯m running cross-lagged model with two time points. Two variables, a and b, were measured at T1 and T2. Sample size is over 1,000. However, the df is 0, the fit indices can¡¯t be evaluated. How can I fix the problem? Thanks. variable: names are a1 a2 b1 b2; usevariables are a1 a2 b1 b2; Model: a2 on a1; b2 on b1; a2 on b1; b2 on a1; a1 with b1; a2 with b2; Output: tech1 tech3; Chi-Square Test of Model Fit Value 0.000 Degrees of Freedom 0 P-Value 0.0000 RMSEA (Root Mean Square Error Of Approximation) Estimate 0.000 90 Percent C.I. 0.000 0.000 Probability RMSEA <= .05 0.000 CFI/TLI CFI 1.000 TLI 1.000 Chi-Square Test of Model Fit for the Baseline Model Value 346.496 Degrees of Freedom 5 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.000 |
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Your model does not specify any restrictions - no left-out arrows - so there is nothing to test. You can always look for other signs of problems such as using plots of outliers and heteroscedasticity. |
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