https://communities.sas.com/t5/SAS-Procedures/Proc-Surveyfreq-with-jack-knife-weights-for-categorical/m-p/834662#M82068 <P>It's not clear to me exactly how your data are structured and how you'd like to summarize your data.</P><P>&nbsp;</P><P>If each individual choice is given a yes/no response, it is not clear how you could determine for a particular respondent, which item they ranked first, which they ranked 2nd, and which they ranked 3rd. Can you determine that from the data?</P><P>&nbsp;</P><P>If you cannot, then you could create separate distributions for each y/n variable so see which item was selected the most (which doesn't mean that that item was ranked at the top the most.)</P><P>If you can tell how each person ranked an item, then you could calculate three distributions: 1) Distribution of items that selected as a top choice, 2) Distribution of items that selected as a second choice, 3) Distribution of items selected as a third choice.&nbsp;</P><P>&nbsp;</P><P>If those summaries don't appeal to you, you should think about what you mean when you say "frequency for the entire question for the top 3 choices."&nbsp; One combined approach would be to define all possible combinations of the three top choice selections made by respondents and look at the distribution of those combinations. e.g. 3-1-2, 1-5-10 (in order of ranking: choice1 -choice 2 -choice 3).&nbsp;&nbsp;</P><P>&nbsp;</P><P>In all of these cases, you can use proc surveyfreq.</P> Thu, 22 Sep 2022 14:05:30 GMT DWilson 2022-09-22T14:05:30Z https://communities.sas.com/t5/SAS-Procedures/Proc-Surveyfreq-with-jack-knife-weights-for-categorical/m-p/834594#M82066 <P><SPAN>I am using proc surveyfreq with jack-knife replicate weights to describe frequencies across variables in a survey that used address based sampling. Some of the variables are coded by individual selection - for example, a survey question asks respondents to pick three top choices, so the actual dataset made each individual choice a variable with a Yes/No 0/1 response. Which SAS procedure that incorporate jk weights should I use in this case to describe the frequency for the entire question for the three top choices?</SPAN></P> Wed, 21 Sep 2022 23:06:23 GMT https://communities.sas.com/t5/SAS-Procedures/Proc-Surveyfreq-with-jack-knife-weights-for-categorical/m-p/834594#M82066 tipscodesas 2022-09-21T23:06:23Z https://communities.sas.com/t5/SAS-Procedures/Proc-Surveyfreq-with-jack-knife-weights-for-categorical/m-p/834662#M82068 <P>It's not clear to me exactly how your data are structured and how you'd like to summarize your data.</P><P>&nbsp;</P><P>If each individual choice is given a yes/no response, it is not clear how you could determine for a particular respondent, which item they ranked first, which they ranked 2nd, and which they ranked 3rd. Can you determine that from the data?</P><P>&nbsp;</P><P>If you cannot, then you could create separate distributions for each y/n variable so see which item was selected the most (which doesn't mean that that item was ranked at the top the most.)</P><P>If you can tell how each person ranked an item, then you could calculate three distributions: 1) Distribution of items that selected as a top choice, 2) Distribution of items that selected as a second choice, 3) Distribution of items selected as a third choice.&nbsp;</P><P>&nbsp;</P><P>If those summaries don't appeal to you, you should think about what you mean when you say "frequency for the entire question for the top 3 choices."&nbsp; One combined approach would be to define all possible combinations of the three top choice selections made by respondents and look at the distribution of those combinations. e.g. 3-1-2, 1-5-10 (in order of ranking: choice1 -choice 2 -choice 3).&nbsp;&nbsp;</P><P>&nbsp;</P><P>In all of these cases, you can use proc surveyfreq.</P> Thu, 22 Sep 2022 14:05:30 GMT https://communities.sas.com/t5/SAS-Procedures/Proc-Surveyfreq-with-jack-knife-weights-for-categorical/m-p/834662#M82068 DWilson 2022-09-22T14:05:30Z