Hi there,
I am conducting research on the following topic: Impact of eWOM on the consumer behaviour of Gen Z with regard to the Luxury Apparel Industry. I currently enrolled in a MS Marketing program. I'm fairly new to the research paradigm. I fed the data through smart pls. But I couldn't understand why I was receiving a low NFI score. Is it due to a smaller sample size? Sample size=116
Any help would be appreciated.
Regards,
Syed
Syed Muhammad Ehtesham Ali A limited sample size can contribute to a low NFI (normed fit index) score in a structural equation modeling (SEM) investigation. Poor model fit, measurement inaccuracy, and a lack of discriminant validity are all plausible explanations. It's also conceivable that your model is overparameterized, and that some of your model's routes or links aren't supported by data.
It's vital to remember that SEM is a sophisticated statistical procedure with many variables to consider when evaluating the findings. Cross-validating your results using other methods of research, such as confirmatory factor analysis (CFA) or exploratory factor analysis (EFA), is also advised to assess the robustness of your findings.
It's also a good idea to speak with a statistician or SEM specialist to have a better understanding of the results, or to perform a sensitivity analysis to observe how the results vary with alternative sample sizes or model parameters.
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