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This fact should guarantee the applicability of the models beyond the studied population.
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Inferential statistics enable a generalisation of the study results beyond the study population [72].
Thus, the present findings are not generalisable beyond the study population.
This makes it more difficult to generalise results beyond the study population.
Given the limitations of the survey design, we cannot a-priori generalize our findings beyond the study population.
Although the study is qualitative and our sample was purposively selected, its findings may be generalised beyond the study population (Morse, 1999).
Furthermore, the result may not be generalized beyond the study population itself since the study involved a small sample of a single, non-randomly selected city in Bahir Dar.
As with any qualitative study, the goal is to generate hypotheses that can be tested in the future rather than aim for generalizability of findings beyond the study population.
Our findings may not be applicable beyond the study population and geographic area despite a high response rate and efforts to sample respondents from a wide range of services across London.
The results may not be generalizable beyond the study population but since the trial took place in multiple sites in three provinces (Ontario, Manitoba and Saskatchewan) that included both urban and rural locations, and culturally mixed populations this should increase the likelihood of generalizability.
A possible limitation of this study is that the sample size did not allow subdivision of the study population beyond gender and PPAR-γ Pro12Ala genotype in the analyses.
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