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From |
Steve Samuels <sjsamuels@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Question on interpretation of survey data: from the mean to the total |

Date |
Sun, 12 Sep 2010 20:13:01 -0400 |

-- In advance I would say that you should create a data set in which each observation is a HH and the weight is an appropriate HH weight. However to advise you further with some assurance, we would need to know how the weights were computed-was there post-stratification or "raking", for example and details about the design (clusters, stages is too vague). including the -svyset- statement. Your current approach is almost certainly wrong, because the denominator for -svy: mean- will be individuals, not HH; it will be biased, because larger HH will contribute more observations. Steve Steven J. Samuels sjsamuels@gmail.com 18 Cantine's Island Saugerties NY 12477 USA Voice: 845-246-0774 Fax: 206-202-4783 On Sun, Sep 12, 2010 at 2:50 PM, Laurie Molina <molinalaurie@gmail.com> wrote: > Dear all, > I have a question on the interpretation of survey data. > There is a survey in which the analysis units are the households and > its members. > Using the command svyset i have set the design characteristics of the > survey: clusters, two stages, stratification and probabilistic. > And i have asked stata for the mean of the number of cars in the households. > Is it all right if i multiply the mean of the number of cars in the > households by the expanded number of households to get the total > number of cars of the households? > Or does it depend on wheter the survey was designed to get the total > number of cars of the households? > Thank you very much in advance. > Laurie > * > * 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/ > * * 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: Question on interpretation of survey data: from the mean to the total***From:*Laurie Molina <molinalaurie@gmail.com>

**References**:**st: Question on interpretation of survey data: from the mean to the total***From:*Laurie Molina <molinalaurie@gmail.com>

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