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Date:         Thu, 11 Dec 2003 10:29:59 -0500
Reply-To:     "Will Bailey [Statman]" <statmanz@earthlink.net>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         "Will Bailey [Statman]" <statmanz@earthlink.net>
Subject:      Re: weighted data and regression models
Comments: To: "Schaible-Brandon,Sonia" <sonia.schaible-brandon@state.co.us>
In-Reply-To:  <9A782E8087FED411868000508B69311C88BBEE@CCHEXCHANGE>
Content-Type: text/plain; charset="US-ASCII"

You can't using 'standard' tools such as SPSS base but must move over to those that handle complex sampling, e.g., SPSS' new Complex Sampling module [however, does not do regression in the V12 version] or www.westat.com

WMB Statistical Services

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-----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Schaible-Brandon,Sonia Sent: Thursday, December 11, 2003 10:25 AM To: SPSSX-L@LISTSERV.UGA.EDU Subject: weighted data and regression models

If SPSS weights to a population size, how does one adjust for the "error" in regression by the artifical increase of the degrees of freedom? It would seem that the standard error, particularly if some cases are weighted much more than others would be biased. How would I know if it is it necessary? Could one run bootstrap samples on the weighted population?

Sonia Schaible-Brandon Colorado Commission on Higher Education 1380 Lawrence Street Suite 1200 Denver, CO 80204 phone: (303)866-2723 fax: (303)866-4266 email: sonia.schaible-brandon@state.co.us


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