What procedure are you using? What's
your current syntax?
Michael Coyle <email@example.com>
06/23/2011 11:40 AM
Subject ID as a Fixed Covariate in Doubly
Repeated Measures Design
"SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
I am currently working with a data set
that is a doubly repeated within subjects design. Sixteen subjects received
1 treatment and a control (control always first and served as own
control). I realize the conditions were not randomized, which is not ideal.
I am working with a data set for a client and the data are what they are…During
data collection, 45 observations at 2-min intervals were recorded. The
dependent variable is transcutaneous oxygen partial pressure (tcPO2). It
is a very sensitive measure which results in sizeable inter- and intra-subject
variability. Hence, the standard deviations are quite large.
Because of the within subjects variability,
I would like to apply a blocking factor (e.g., subjects; variable name
Subject ID) to reduce the within subject variance. In the case of my data,
I would like to apply this as a categorical, fixed covariate, not a random
effect. For this approach, d.f. would be n-1 (16-1=15). When I apply Subject
ID as a fixed covariate (numerical value), d.f. = 1. Not what I want.
SPSS lets me use Subject ID (a numerical
value) as a random effect, and I do get the appropriate d.f., but I am
perplexed as to code Subject ID as a categorical variable to use as a fixed
covariate, which would reduce variance even further.
BTW: SAS can do this quite easily (I’m
told by my colleague who does quite a lot of work in phase 3 clinical trials).
SPSS is not as cooperative, it would seem. Unfortunately, I do not know
the SAS syntax for this procedure.
Any help you can provide would be greatly