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  • Adding correlated adjacent error to growth curve - model doesn't converge

    Hello,
    I am running a growth curve model, which had quite bad fit indices so I decided to correlate errors. However, my model doesn't converge even after 500 iterations. My code is as follows:
    Code:
    sem (Intercept@1 Slope@0 ->inattention1) ///
        (Intercept@1 Slope@1 ->inattention2) ///
        (Intercept@1 Slope@2 ->inattention3) ///
        (Intercept@1 Slope@3 ->inattention4) ///
        (Intercept@1 Slope@4 ->inattention5), ///
        method(mlmv) noconstant means(Intercept Slope) ///
        cov(e.inattention1*e.inattention2) ///
        cov(e.inattention2*e.inattention3) ///
        cov(e.inattention3*e.inattention4) ///
        cov(e.inattention4*e.inattention5)
    Can anyone help me identify what might be the problem?
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