topic Re: Inflating standard errors when using a standardized weight on survey data in Statistical Procedures https://communities.sas.com/t5/Statistical-Procedures/Inflating-standard-errors-when-using-a-standardized-weight-on/m-p/132495#M6908 <HTML><HEAD></HEAD><BODY><P>If you have a survey, use PROC SURVEYFREQ, not PROC FREQ.&nbsp; The standard errors and the variances calculated in PROC FREQ do not account for the survey design (for example, stratification, clustering).</P></BODY></HTML> Wed, 13 Mar 2013 12:28:52 GMT 1zmm 2013-03-13T12:28:52Z Inflating standard errors when using a standardized weight on survey data https://communities.sas.com/t5/Statistical-Procedures/Inflating-standard-errors-when-using-a-standardized-weight-on/m-p/132494#M6907 <HTML><HEAD></HEAD><BODY><P>I have calculated a standardized weight for running weighted analysis using PROC FREQ. The issue is, I obtain standard errors that are half the size of the standard errors I obtain when using all the survey parameters in PROC SURVEYFREQ. I calculate the same proportions when I use the standardized weight in PROC FREQ and the original weight in PROC SURVEYFREQ, but I have a larger standard error in PROC SURVEYFREQ than in PROC FREQ. </P><P></P><P>I am trying to figure out if there is a standard way to inflate the standard error so that it does not underestimate the variance estimates in PROC FREQ. Thank you for any guidance you can provide!</P></BODY></HTML> Mon, 11 Mar 2013 22:29:42 GMT https://communities.sas.com/t5/Statistical-Procedures/Inflating-standard-errors-when-using-a-standardized-weight-on/m-p/132494#M6907 HyunJee 2013-03-11T22:29:42Z Re: Inflating standard errors when using a standardized weight on survey data https://communities.sas.com/t5/Statistical-Procedures/Inflating-standard-errors-when-using-a-standardized-weight-on/m-p/132495#M6908 <HTML><HEAD></HEAD><BODY><P>If you have a survey, use PROC SURVEYFREQ, not PROC FREQ.&nbsp; The standard errors and the variances calculated in PROC FREQ do not account for the survey design (for example, stratification, clustering).</P></BODY></HTML> Wed, 13 Mar 2013 12:28:52 GMT https://communities.sas.com/t5/Statistical-Procedures/Inflating-standard-errors-when-using-a-standardized-weight-on/m-p/132495#M6908 1zmm 2013-03-13T12:28:52Z