Hi stata list
I am using ordinal regression to check if the cut off points are sufficiently distinct. From reading the stata manual and previous questions on here, the cut-off point is the probability for one category to fall into the other and if the confidence intervals for two cut points overlap, then I might want to consider combining these groups if the N is too small for some of the categories.
These are the results I have:
If someone could kindly explain to me in laymen terms it it makes sense to collapse the categories with small N’s.
I am using ordinal regression to check if the cut off points are sufficiently distinct. From reading the stata manual and previous questions on here, the cut-off point is the probability for one category to fall into the other and if the confidence intervals for two cut points overlap, then I might want to consider combining these groups if the N is too small for some of the categories.
These are the results I have:
Code:
Iteration 0: log likelihood = -6519.7348 Iteration 1: log likelihood = -6519.7348 Ordered logistic regression Number of obs = 6,335 LR chi2(0) = 0.00 Prob > chi2 = . Log likelihood = -6519.7348 Pseudo R2 = 0.0000 ------------------------------------------------------------------------------ DMdailypurch | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- /cut1 | .35702 .0255294 .3069834 .4070566 /cut2 | .3726839 .0255655 .3225765 .4227913 /cut3 | 1.495419 .0324855 1.431749 1.55909 /cut4 | 1.592298 .0335213 1.526598 1.657999 ------------------------------------------------------------------------------ . ta DMdailypurch RECODE of | q7201_02 | (Marr: | Final say | on mak. hh | purch. for | daily | needs) | Freq. Percent Cum. ------------+----------------------------------- 1 | 3,727 58.83 58.83 2 | 24 0.38 59.21 3 | 1,424 22.48 81.69 4 | 89 1.40 83.09 5 | 1,071 16.91 100.00 ------------+----------------------------------- Total | 6,335 100.00
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