Hi Everyone
I am conducting my research and one of my research objectives is to develop a model using PLS-SEM method, For your information I have run the smartPls to develop the model with with the following details:
-Number of samples are 100
-Number of questions are 38 (38 Factors)
- My model passed all the measurements assessment also structural assessments with some negative coefficient values.
However, When I perform the Bootstrapping in SmartPLS to test the hypothesis, the outputs revealed only one significant construct ( t-value ) out of 7 constructs and the rest constructs are less than significant level of 10% (0.10; two-tailed test)
Can any one please assist me , how to improve my hypotheses to be significant ? If I continue with my obtained outputs (not significant of t-value for some path coefficient) Can I got some literature and previous research to cite and support my findings.
Kind Regards
Nashwan, if you mean N = 100 with "samples are 100" than you sample size is definitely too small. The best would be to follow Beatrice's advice in order to enhance power. When you analyze your constructs separately, do you get reasonable results? I guess that it is not only the small sample size that is a problem, but that the specification of the measurement models may be also problematic. In order to trace these problems, start with a small model.
Regards, Karin
Thank you Beatrice and Karin for your response, In fact the sample size (N=100) already collected and used the same data for the descriptive analysis as well as factor analysis, hence I can not add more samples.
Karin:
When I analyzed my constructs I obtained reasonable results for 3 constructs out of 7 and for the remaining 4 constructs the results are not matching the assessments requirements specifically the values for t-values from bootstrapping .
My supervisor informed me to argue the findings. Can you help either for improving the results or by explanations the obtained results with some supportive previous literature.
Thank you
Nashwan
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