I have a sample with 138 participants. Only 6 of them reported living alone (%4.3) while the remaining 132 share the household with others (family/partner/housemate etc.)
I am trying to decide whether I can add "living alone" as a dichotomous variable in my hierarchical regression. What worries me is the very low percentage of individuals living alone in the sample. Do you think this would be problematic?
Thank you so much for your answer!
1. You haven't stated your research questions. If they have anything to do with living alone, the power is likely too low. I will assume they have nothing to do with this.
2. If you expect them to be different, either include the variable or exclude these values.
It depends. If it is secondary to your objective, you can bypass this item. You can keep it in your model as well. It is up to you to some extent.
In general I agree with Prof Wright. I would like to add a few things. First if if the DV IS
dichotomous this is a logistic regression and hierarchical regression makes little sense because you can't follow change in things like in Rsq. Second if ols regression is appropriate in this
Situation changes in F stats or Rsq .wlll tell you nothing as far as I can see. Third if this is a logistic regression then are no Fstats or Rsq to follow so why do hierarchical regression? Fourth in this case I can't see how hierarchical regression will tell you anything if ols is appropriate. Thus do a full model of the appropriate type. Fifth if the DV is dichotomous and you do logistic regression with low percentage in one group then Firth method of logistic regression.is your best choice this case is Firth logistic regression.which rewires a special program and That's why Prof Wright asked for a a research question. Finally if more than one DV life gets very complicated as it will if you have more than 2 categories in your DV. So next time please specify things like these whenever possible to save time in getting an answer. Best wishes, David Booth
Daniel Wright, Babak Jamshidi and David Eugene Booth thank you for your answers! The variable I am talking about is a demographic variable that I have intention to use as a control variable, adding to the first step of a hierarchical regression, with other demographic variables such as gender, age, etc. with stepwise command.
My research question is whether obsessive beliefs or obsessive-compulsive symptoms are related to COVID-19 distress.
Thanks..why are you interested in hierarchical regression..? is covid distress binary?. BTW stepwise methods are generally worthless.. see the recently accepted paper attached. I look forward to your reply. Best wishes, David Booth
David Eugene Booth Congratulations on your new paper! I looked at it and did some further research on the subject. I think you are right and I'm gonna give up on stepwise method.
The reason I want to use hierarchical regression is the prospective nature of my data (I have collected the data at two different time points: Time 1 and Time 2). I am trying to see whether baseline OCD symptoms predict the change in COVID-19 distress level six month later. So I though I could conduct a hierarchical regression where the DV is COVID distress at Time 2. I could enter COVID distress at Time 1 in the first step, demographics in the second step, and OCD symptoms in the third step. I though it would be nice to show the R2 changes, especially for OCD symptoms in the third step. Do you think it is a good idea or using a full model would be more appropriate? Thank you so much for your time! This has been truly helpful!
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