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Dear Mplus-Experts How can I increase the model fit of a latent growth curve? Now my is RMSEA=0.183 I red something that equal error covariance and error covariance can be used to increase the fit. How do I add this aspect to my Mplus syntax? And are there other means to increase the fit? Thank you Monika |
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Look at modification indices to see where the model does not fit. |
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Dear Linda, I am sorry to ask such basic questions, I am in Southamerica at the moment and my acess to Mplus literature and help in person in limited. Which modelfit indices are you talking about? The Output says the folowing: Chi-Square Test of Model Fit (Value = 488.527, df=128, p = .000) Chi-Square Test of Model Fit for the Baseline Model (Value = 1456.747, df=120, p =.000) CFI = 0.730, TLI = 0.747 Loglikelihood: H0 Value = -1790.674, H1 Value = -1546.411 Number of Free Parameters = 22 Akaike (AIC) = 3625.349, Bayesian (BIC)= 3674.178, Adjusted BIC = 3604.899(n* = (n + 2) / 24) RMSEA (Estimate = 0.204, 90 Percent C.I. [0.185,0.223], p(RMSEA <= .05) = .000 SRMR (Value = 0.149) And which model fit indices indicate, why my model fit is so low, and how do I change that? Does the model fit only serve to get a higher power for significant results? Thank you a lot! |
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Ask for the MODINDICES option of the OUTPUT command. The Mplus User's Guide is available on the website. The Topic 1 course handout and video discuss modification indices. You can also Google modification indices. |
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