Dear Mike and colleagues,
I am trying to test the association between social effectiveness and consumer's impulsive buying tendency(IBT), which is also hypothesised as being mediated by hedonic shopping values. The social effectiveness is latent variable that is manifested by the bif five personalities. The data set and the R script are attaced. The label names for these variables are A,C,ES,E,O,IBT,SE(hedonic shopping values),g(the latent variable).
According to the output, there are overall 6 constraints in the Smatrix. And the model warned me that: The variances of the dependent variables in 'Smatrix' should be free.
Yet, I only set two constriants in the S matrix: the variance of the mediator and indenpendent are set as 1. May I know what are the other four?
After I sent these constraints free, there is a status1 error 6. I guess this might because the model is not identified as constraints are released. But something went wrong when I check the model by the mxCheckIdentification. May I know, if it is the issuse about model unidentification, shall I keep these constraints in the model? or has to try new models?
In addition, the dependent variable in the SEM is IBT but it seem the metaSEM did not think so..may I know how the package defienes the dependent variables and indenpendent variables?
Sometimes, there are some NA in the lbound or ubound of estimations. For this data, it occurs to the estimation g_o. May I know what the NAs mean. An infinite ubound or a statistic mistake? And given there is no p-values in the random model, may I know how to know whether the estimations are statistically significant or not?
I also failed to draw the sem plot. There are no paths has been drawn among variables by the dataset I attached. I guess it may because the dependent variable and independent variables are not respectively defined by the model. May I know am I right or there are other issues in the plots synax?
Many thanks for your time.