Gulfam Sadiq
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Hello respected members, I hope you are all fine.
I have conducted an experimental design study. After the descriptives, I had hyopthesized a structural model to test. It had 5 latent variables i.e, IDV, 2 parallel mediators followed by a serial mediator, and DV. The number of observed variables are 36. My sample size for this group was just 56.
1. is this enough sample size to defend in case of experimental designs. because I am a student so i had limited number of resources to conduct a large scale experiment. Guide me on this subject.
2. When I draw my measurement model in AMOS, and impute the values after drawing covariances and after checking validity and reliability and model fitness, and then run my structual analysis on imputed variables, my model does not get acceptable fit. CFI and TLI values are above .95 but rmsea value is above .1. But If impute the values after drawing structural paths in my model instead of covariances and then impute the variables then my model recieves acceptable fit, CFI, TLI > .95 and rmsea < .08.. What could be possible reason for this and can I impute after drawing paths instead of covariances?
3. If we provide validity, reliability, and model fitness of measurement model, then do we need to provide model fitness again when we run analysis on imputed variables?
Regards,
Ghulfam Sadiq,
Southwest University, China