Date:         Mon, 14 Feb 2011 18:14:54 -0500
Reply-To:     Nat Wooding <nathani@VERIZON.NET>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Nat Wooding <nathani@VERIZON.NET>
Subject:      Re: survey sample size
In-Reply-To:  <941871A13165C2418EC144ACB212BDB001C9E9A9@dshsmxoly1504g.dshs.wa.lcl>
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 I seem to remember seeing or hearing of a SAS presentation on Proc Power.
Have you checked the SI website and Lex Jansen's collection of papers?

Nat Wooding

-----Original Message-----
From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of
Nordlund, Dan (DSHS/RDA)
Sent: Monday, February 14, 2011 6:07 PM
To: SAS-L@LISTSERV.UGA.EDU
Subject: Re: survey sample size

> -----Original Message-----
> From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of
> William Shakespeare
> Sent: Monday, February 14, 2011 2:48 PM
> To: SAS-L@LISTSERV.UGA.EDU
> Subject: survey sample size
>
> Is there a way in SAS to compute survey sample size for complex
> surveys?
> I don't think that proc power will work because the errors are wrong.
> If
> this is not possible in SAS then what software will provide the correct
> sample size estimates?

I am not aware of any software (which does not mean the isn't some), but if
you have some estimate of the Design Effect for main analyses of interest
(say from similar surveys or previous work), you may get a reasonable sample
size estimate by running PROC POWER and multiplying the estimated sample
size by the design effect.

Dan

Daniel J. Nordlund
Washington State Department of Social and Health Services
Planning, Performance, and Accountability
Research and Data Analysis Division
Olympia, WA 98504-5204