|
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
st: Re: Comparisons in repeated measures anova
I am stuck with evaluation of a comparison. I have carried out a repeated measures anova of two systems (labeled 3 & 8) over 11 time periods, and I want to see if the two systems differ at each time period.
. anova deltae sys / sample|sys time sys*time, repeated(time)
Repeated variable: time
Huynh-Feldt epsilon = 0.2594
Greenhouse-Geisser epsilon = 0.1914
Box's conservative epsilon = 0.1000
------------ Prob > F ------------
Source | df F Regular H-F G-G Box
-----------+----------------------------------------------------
time | 10 20.30 0.0000 0.0000 0.0000 0.0011
sys*time | 10 5.27 0.0000 0.0076 0.0160 0.0446
Residual | 100
-----------+----------------------------------------------------
The design matrix has 48 columns and I tried to compare the systems at time 1 as follows:
. test _coef[time[1]*sys[3]] = _coef[time[1]*sys[8]]
( 1) sys[3]*time[1] - sys[8]*time[1] = 0
F( 1, 100) = 10.59
Prob > F = 0.0016
I interpret this as the 2 systems being significantly different. The problem I have is that the means of the two systems are 0.618 and 0.642. When the data is plotted there appears to be no difference at this time and a t-test (I appreciate that it is not valid in this design) has a probability 0.668 which seems to agree with the plot.
I would be grateful if somebody could tell what I am doing wrong in this comparison and how to carry it out.
Jayne
__________________________________________________________
Sent from Yahoo! Mail.
A Smarter Email http://uk.docs.yahoo.com/nowyoucan.html
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/