Date: Thu, 15 Sep 2005 10:56:44 +0200
Reply-To: russell <email@example.com>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: russell <firstname.lastname@example.org>
Subject: complex samples
Content-Type: text/plain; charset="iso-8859-1"
I am asking this question on behalf of an NGO that surveys primary
schools. They look at service delivery issues, leakage of funding,
corruption etc. From approximately 5000 primary schools, the sampling
frame is ten per cent (or 500 schools). The size of the sample is partly
based on cost considerations, logistics etc. The 500 schools were
selected through a random, 2 stage probability proportionate to size
selection process based on the number of schools. The schools were
divided according to regions: Northern region, Central Region and
Southern region. Then the schools in the region were further divided
into rural and urban schools. Finally, the schools were proportionally
selected through random sampling. The NGO claims that dividing the
schools into strata means that the sample is more likely to be
representative as you can ensure that each of the strata is represented
proportionally within the sample.
Does analysis of this data require the complex samples module in SPSS?
Any thoughts are appreciated,