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| Bootstrapping and extremely large SE |
 
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I am running a path model with 6 obs vars. One of them is binary (1/0) so declared as categorical.The model is just identified (RMSEA=0/CFA=TFI=1). I am mainly interested in indirect effects.
1) estimator=WLSMV & parameterization=theta: I get huge SE for some paths, like larger than 1000 (for other paths, less than 1). However, CI results seem to provide decent results. I wonder if I can simply report CI results, not SE results in this case. Or I cannot trust any numbers from this analysis?
2) estimator=WLSMV & parameterization=delta: I get normal SE for all paths. The CI results also seem to agree with the CI results in 1). Can I use a delta method when one of the variables (dependent var) is binary and testing indirect effects?
Please advise! |
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