Date: Fri, 20 Dec 2002 16:53:53 -0800
Reply-To: Cassell.David@EPAMAIL.EPA.GOV
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: "David L. Cassell" <Cassell.David@EPAMAIL.EPA.GOV>
Subject: Re: help on power analysis
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Steve Albert <salbert@AOL.COM> replied [in part]:
> sampling theory here. You need to understand the sampling design, and
the
> issues involved. (You also haven't described how your health care
workers
> are to be recruited, which may introduce some biases of its own, or
how
> they're told to select the n individuals from their communities, which
may
> introduce other biases, affect the correlation between observations in
each
> cluster, etc.)
Exactly. The OP is going to have a host of potential problems
with response errors and non-response errors. So a large part
of the process of designing the study is likely to be the design
of the *logistics* involved, so the fieldwork produces the design
that the statisticians planned.
> 185. A more mathematical treatment is in William Cochran's "Sampling
> Techniques", 3rd edition (a classic on sampling),
Cochran's book also has a list of the 11 steps involved in the
process of sampling. I have just written about this in an invited
paper I'll be doing at SUGI with AnnMaria de Mars (Rousey). I have
found more than one study where a good statistical design was ruined by
poor logistical planning and implementation. So the OP really needs to
talk with people who have experience *implementing* sampling designs.
The American Statistical Association has a short series of pamphlets
whch might be helpful for the beginner. They are written for the
general public, and are produced by:
Section on Survey Research Methods
American Statistical Association
1429 Duke St.
Alexandria, VA, USA
zipcode 22314-3402
The titles I know of are:
"What is a survey?"
"How to plan a survey"
"How to Collect survey data"
"What are the main sources of survey error?"
"What about surveys in the media?"
BTW, some of the authors on these are Westat folks.
David
--
David Cassell, CSC
Cassell.David@epa.gov
Senior computing specialist
mathematical statistician