Date: Thu, 22 Sep 2011 15:40:20 -0500
Reply-To: "Swank, Paul R" <Paul.R.Swank@uth.tmc.edu>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: "Swank, Paul R" <Paul.R.Swank@uth.tmc.edu>
Subject: Re: Selecting a Statistical Test for unmatched pre post survey
In-Reply-To: <1316723593873-4831434.post@n5.nabble.com>
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The other option is to do the analysis at the school level, averaging the data within schools unless you want to consider grade level as well. The means at the school level would be paired and so a dependent samples test could be done. 23 schools is a little light for multilevel. Most folks recommend at least 30 level 2 units to get stable variance estimates.
Dr. Paul R. Swank,
Children's Learning Institute
Professor, Department of Pediatrics, Medical School
Adjunct Professor, School of Public Health
University of Texas Health Science Center-Houston
-----Original Message-----
From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Bruce Weaver
Sent: Thursday, September 22, 2011 3:33 PM
To: SPSSX-L@LISTSERV.UGA.EDU
Subject: Re: Selecting a Statistical Test for unmatched pre post survey
Paul Swank:
How many schools are included?
"seguchi":
23 schools
This is sounding more like a multilevel model all the time. Occasions are
clustered within students, and students are clustered within schools (or
possibly within classes within schools).
To the OP: I suggest you look at Jos Twisk's very accessible introduction
to mulitlevel models, "Applied Multilevel Analysis". At least some of it is
available for preview via Google Books. There are other more comprehensive
books (e.g., Snijders & Bosker), but I think you'll find them easier to
digest if you start with Twisk.
HTH.
-----
--
Bruce Weaver
bweaver@lakeheadu.ca
http://sites.google.com/a/lakeheadu.ca/bweaver/
"When all else fails, RTFM."
NOTE: My Hotmail account is not monitored regularly.
To send me an e-mail, please use the address shown above.
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