Hi, Kaspar--
The CORRECT model is the one that allows YOU to
answer YOUR OWN
questions of interest. If the "packaged"
PROCs have been
verified to do what YOU want, then that's good.
It is sometimes difficult to know what question a
"packaged" PROC
is attempting to answer.
Be careful -- especially if there may
be "missing cells".
:-)
--Joe
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* Joe Ward Health Careers High School *
* 167 East Arrowhead Dr 4646 Hamilton Wolfe *
* San Antonio, TX 78228-2402 San Antonio, TX 78229 *
* Phone: 210-433-6575 Phone: 210-617-5400 *
* Fax: 210-433-2828 Fax: 210-617-5423 *
* [EMAIL PROTECTED] *
* http://www.ijoa.org/joeward/wardindex.html *
************************************************************************
----- Original Message -----
From: Kasper Hornb�k <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Thursday, March 09, 2000 1:41
AM
Subject: Q: Repeated measures
| I have a question concerning repeated measures analysis. I am not sure of
| whether a linear model with a factor that varies as repeated measures are
| taken (e.g., order or session) is identical to a repeated measures analyses.
| I'll detail the question below.
|
| I have a within-subject study in which subjects used three methods to solve
| six different tasks. The experiment is run in three sessions, each
| consisting of two tasks. Three of the tasks are very different from the
| other three tasks.
|
| For analysing this experiment, I plan to use a model like Y[ijkl]:= u+
| subject[i]+ task[j]+ session[k]+ method[l]+ e[ijkl],
| possibly adding interactions between task, method and session. Is this a
| repeated measures analysis or equivalent to a repeated measures analysis?
|
| If not, how should I analyse these data using SAS's repeated measures
| option?
|
| Kind regards,
| Kasper Hornb�k/
| kash(at)diku.dk
|
|
|
|
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