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Dear Mike and MASEM users, I am testing the same mediation model with several different datasets. Each dataset contains data on a different candidate mediator and has different number of study matrices with different patterns of missing data.For some of the datasets, tssem1 and tssem2 seem to run perfectly well, openmx status=0, no error or warning messages, and there are ubound and lbound for me to interpret the indirect effect and direct effect. For other datasets, openmx status=0, but I see "NA" in either the ubound, the lbound, or both for the indirect and direct effects. Here is the output from one such dataset:Call:wls(Cov = pooledS, asyCov = asyCov, n = tssem1.obj$total.n, Amatrix = Amatrix, Smatrix = Smatrix, Fmatrix = Fmatrix, diag.constraints = diag.constraints, cor.analysis = cor.analysis, intervals.type = intervals.type, mx.algebras = mx.algebras, model.name = model.name, suppressWarnings = suppressWarnings, silent = silent, run = run)95% confidence intervals: Likelihood-based statisticCoefficients: Estimate Std.Error lbound ubound z value Pr(>|z|)m1m3 0.4531497 NA 0.2754217 0.6309407 NA NATxm3 0.0090453 NA -0.0724801 0.0905704 NA NAm3o3 -0.0763300 NA -0.2543311 0.1020654 NA NAo1o3 0.4696471 NA 0.4028079 0.5361803 NA NATxo3 -0.0025988 NA -0.0748088 0.0696686 NA NAvar_m3 0.7945735 NA 0.6018275 0.9240713 NA NAr_m1o1 -0.0607255 NA -0.2454219 0.1197996 NA NAvar_o3 0.7716221 NA 0.6914914 0.8323063 NA NAmxAlgebras objects (and their 95% likelihood-based CIs): lbound Estimate uboundmedD[1,1] NA -0.0006904273 NAdirD[1,1] NA -0.0019083397 NAGoodness-of-fit indices: ValueSample size 544.0000Chi-square of target model 1.0107DF of target model 4.0000p value of target model 0.9082Number of constraints imposed on "Smatrix" 2.0000DF manually adjusted 0.0000Chi-square of independence model 223.5196DF of independence model 10.0000RMSEA 0.0000RMSEA lower 95% CI 0.0000RMSEA upper 95% CI 0.0258SRMR 0.0254TLI 1.0350CFI 1.0000AIC -6.9893BIC -24.1851OpenMx status1: 0 ("0" or "1": The optimization is considered fine.Other values indicate problems.)I already put in the modifications that Mike suggested in previous correspondence when I was getting openmx status=6 for tssem1, which did make the openmx status=0.These modifications are: 1. changing the variance of the missing variables in each study matrix from 1 to NA, and 2. manually fixing to 0 the heterogeneity indices (I2) that are close to 0,' I would appreciate any help with understanding why this problem is occurring and how to fix it.Thank you!Mei YiSee More

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A technique to synthesizing correlation/covariance matrices for the purpose of fitting structural equation models.

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