Hello, I would need help w.r.t deciding on an approach. I sent out a survey and about 2000 of 15000 recipients completed the survey. Doubts have been raised on accepting the results based on the survey responses, as stakeholders claim participants to be different from non-participants. I now have a list of 2000 participants and 13000 non-participants. I decided to draw two random samples from the non-participants list using the below code:   proc surveyselect data=know.input_non_participants_v1         out=know.nonp_srs2 /*create two samples*/         sampsize=2000         method=srs        seed=830        stats;        run;   I had thought of comparing the three groups using ANOVA to test for differences among means. However, I was asked if I would use bootstrapping. I have never used it before and from my reading, I gather that it resamples the existing data set and creates a sampling distribution (plots the sample means of the 'n' samples). How would that compare the non-participant group with the participant?   Would ANOVA not do the work? Is my approach correct? Compare 2 randomly selected sample(s) of non-participants about the same size as the participants and test for difference among the means? If not, what must my approach be?   I'm pressed for time and really look forward to your advice.   Regards, MS ... View more

Hello, I need help with choosing a goodness of fit test for binary logistic regression. I have one independent variable, which is also categorical (binary) in nature. I got a not-so-fascinating c score of .54 and also a slightly moving-upward ROC curve.   I used the below code and obtained the below result:   proc logistic data=done.input_survey_v3 plots(maxpoints=none)=effect;                     model Q6(event='1')=Q7 / aggregate scale=none; run;   What does aggregate= option do? When must it be used? Is Hosmer and Lemeshow GOF test meant for binary response data? I even tried that and got the same result - blanks.   I thank in advance for any help.   Regards, MS ... View more

Hello,   I have a list of 15k respondents (each has a customer id), who have answered questions about the no. of pets they have (ranges 0 - as many pets they have). I have 6 variables (1 for no. of dogs, 2 for no. of cats, etc.): Q15_1 Q15_2 ... Q15_6   Irrespective of the type of pet and the no. of pets under each category, I need to find the no. of respondents with more than 1 pet.   For example, if respondent 23 has answered that he has 2 dogs (Q15_1) and 1 cat (Q15_2), and respondent 42 has answered that he has 2 cats (Q15_2) , they should both be regarded as respondents with more than 1 pet. How can I do that in SAS? Is Proc Tabulate to be used for this? Any help is appreciated as I have never used it before.   Attached is sample data. Regards, MS ... View more

Hello, I wish to test the association between two categorical variables, one of which is Gender (1=female, 2=male, 3=diverse and 4=prefer not to answer). Is it possible to drop levels 3 and 4 before running Chi Sq test of association (PROC FREQ)? If yes, how can it be done? Regards, MS ... View more