Dear community,
I have a question regarding the comparison of 2 data sets to be tested with the same structural equation model. Both data sets are acquired within the same survey to one unique sample (cross-sectional design), the first one being retrospective data (2020) and the second being real-time data.
What would be the best approach to test for significant differences among both data sets and test for significant differences among the coefficients within the model in either R or STATA?
E.g., I would like to differentiate if the hypotheses, say H8 was more strongly supported in data set 1 than in data set 2.
Any kind of help regarding this will be highly appreciated!
Best,
Andrea
If I have understood correctly what you meant is tgat the same questionnaire or set of statements have been used to collect data about a phenomenon at two different times, and now you want to compare SEM's beta.
One way is to create a categorical variable time T1, T2, merge two datasets and run multi-group analysis (MGA). The MGA can easily be done in SmartPLS. In R, check Lavaan package.
I have read recently that Brazilian lady scholar has applied Structural Equation Model for the research.
Of course it is becoming popular among the researchers and scholars due R software.
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