Cross-lagged model with two time points PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
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 nyu6 posted on Saturday, September 05, 2015 - 1:35 am
Ií»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 caní»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
 Bengt O. Muthen posted on Sunday, September 06, 2015 - 7:42 pm
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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