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carried out an ordered logistic regression but sample sizes were not equal, one is much larger than the other (490) compared to 224 and 219, the result for this group was non-significant could this be the result of a larger sample size? If not, are there other negatives to having such big differences in cohort sizes; in terms of validity or reliability etc

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  • $\begingroup$ Could you give more details about your sample and model? $\endgroup$ – NatWH May 30 '18 at 21:03
  • $\begingroup$ it is taken from the paper by Geraghty, Hann & Kurtev (2017) on chronic fatigue syndrome $\endgroup$ – hippea May 31 '18 at 6:30
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With a big enough sample size, even tiny differences would be significant. Your sample sizes seem fine, as long as the model is not very complex.

As to why your results are not significant, it could be that your model is simply not very strong - look at the effect sizes.

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