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Joyce posted on Friday, December 09, 2016 - 9:49 am
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Hello, I am a graduate student trying to run a Latent Growth Curve Model. I have 5 different time points for a scale, but the participants are different for each time point. I keep running into the error message: no convergence. number of iterations exceeded. I have increased the iterations, and have tried different time scores as well. A recommendation I have seen in reading the manual is to use preliminary parameter estimates as starting values. I am having a hard time figuring out what that means and what time scores to try. VARIABLE: NAMES ARE ms_t1 ms_t2 ms_t3 ms_t4 ms_t5 gender; USEVARIABLES ARE ms_t1 ms_t2 ms_t3 ms_t4 ms_t5; MISSING ARE all (-99); ANALYSIS: COVERAGE=0; ITERATIONS=1,000,000,000,000,000; MODEL: I S | ms_t1@0 ms_t2@1 ms_t3@2 ms_t4@3 ms_t5@4; OUTPUT: SAMPSTAT STANDARDIZED; Any advice on what syntax I can use to estimate model parts separately to obtain appropriate starting values? Thank you, Joyce |
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Growth modeling is for when the same people are measured at several time points. With different people you cannot study growth. Instead you have 5 different groups, so independent observations across groups - hence zero correlations across time and zero coverage across time. |
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