Hi,   I have a dataset that contains the sample (2,500 participants), in which I have a subsample that I'm using for analysis (1000 participants). I am trying to see if there are statistically significant differences between the whole sample and my subsample. I am using T tests for my interval variables, but have a lot of categorical variables, so I am trying to use Chi square to see if there are significant differences.   To differentiate between the whole sample and the subsample I have a new variable called "sample" and if the value in the "sample" column is 1 then that participant is part of the large sample but not the subsample, and if the value in the "sample" column is 2 then the participant is part of the subsample.    For t tests I used the class statement saying "class sample; var age" which seems to have worked.   Is there a similar way to do this for Chi Square?  I want to compare employment (employed or not) for sample 1 and sample 2.    Thanks!     ... View more

Hello,   I am running a logistic regression with four predictor variables, 1 outcome variable, and 6 covariates.  My N is around 2000 participants.   For one of my four predictor variables, there are around 1000 people missing the question.  The question asked was very sensitive and it is normal for people to skip it on surveys per other papers. The situation is similar for one of my covariates, where a question on a sensitive topic is also skipped by a substantial number of people.    Right now when I run it, my data set ends up cut in half.  My major professor will not let me do multiple imputations and wants me to do Full Information Maximum Likelihood to account for the missing data.   Does anyone have any advice on if I can do this in SAS?    Thank you! ... View more

I have 8 racial variables, and participants can choose up to eight. The majority of people choose one or two, but I have 300 people who I've recorded as multiracial, due to clicking more than one option. I did this via making new variables and assigning 1s to the boxes that were checked, making it so that everyone who chose one race ended up with a score of one, and everyone who chose more than one was greater than one.   Now that I've identified multiracial participants, I'd like to get the breakdown of single race participants- should I do that via dropping my multiracial participants? If I just run the original racial variables, the system chooses whatever is marked first- so if you marked black, white, and native american, you'd just show up as black.    My end goal is to have a statement like:   "300 participants chose more than 1 racial identifier and were considered multiracial. Of those 300, X percent identified as 2 races and X percent identified as 3 or more. Of the X participants who chose one racial identifier, X% identified as Black, X% identified as White, etc"   Example code:   If wh=1, then Nwh=1 If wh=0 then Nwh=0  If bl=2 then Nwbl=1 If bl=0 then Nwbl=0 This is repeated for all racial variables, then I have:   If Nwh+NwBl=1 then Prace="single" If Nwh+NwBl>=2 then Prace="multi"   (except with all 8 variables going into the statement, not just the 2 example ones) ... View more

My birth date data is coded as two variables in the data set: birthmonth and birthyear. I'm struggling to combine these into a format that I can then subtract from the date the interviews were completed. How would you suggest combining birthmonth and birthyear into birth date? Thank you!!! ... View more