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From |
Austin Nichols <austinnichols@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: seeking answer to survey set question |

Date |
Fri, 28 Aug 2009 12:04:54 -0400 |

James <jpsanders@wsu.edu> : Here's what I would do: egen c=group(stata psu), m ologit depvar indvar1 indvar2 [pw=pw], cluster(c). which puts all the missing-strata people in one stratum. On Fri, Aug 28, 2009 at 11:59 AM, Sanders, James Parry<jpsanders@wsu.edu> wrote: > Hello, > NELS (educational) data comes packaged with psu, pw, and strata data. When I svyset the data, I am told that 1,406 cases have missing values in the survey characteristics (all 1,406 are missing psu and strata data). Thus, when I run a survey command (e.g. svy: ologit) these 1,406 are excluded from the analysis. Alternatively, I can keep the 1,406 in by running a standard command and including 2 of the three weights but leaving out the strata values (e.g. ologit depvar indvar1 indvar2 [pw=pw], cluster(psu)). Either way the results are essentially the same. > > My question(s) is/are this: Which way is preferred? The first way includes all weights but drops 8% of the sample who otherwise have complete data. The second way keeps everyone but doesn't include the strata data and may thus not be fully representative of the population. Is there a way to keep cases lacking psu and strata data in svy commands. Alternatively, is there a way to include the strata data in the non-survey command? > Thanks for any help, > James * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: seeking answer to survey set question***From:*Stas Kolenikov <skolenik@gmail.com>

**References**:**st: seeking answer to survey set question***From:*"Sanders, James Parry" <jpsanders@wsu.edu>

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