Re: interpretting F & t-vals from regression
- From: Rob Campbell <news@xxxxxxxxxxxxxxxxxxxxxxxxxx>
- Date: Thu, 23 Mar 2006 15:52:55 GMT
<snip>
I'm not sure I entirely follow you. I think it's because I should have sent
more information. Here it is.
You say you are testing for differences from zero. However, it is theI was saying that with reference to the t-tests but you're right below:
these are treatment contrasts so they may not be differences from zero. But
in this case I think they are (see below).
I have subjects (factor) each doing 5 durations (a factor). So these aren't
crossed: durations are nested within subjects. Then within durations each
subject does 5 intensities, which I treat as a continuous variable because
I'm interested in the slope.
I fit a mixed-effects linear model with lme. I have a random intercept for
durations within subjects (random=~1|subject/duration)
anova gives me:
(Intercept) 1 165 115.70888 <.0001
duration 4 12 30.60556 <.0001
duration:intensity 5 165 9.65925 <.0001
and summary shows:
Value Std.Error DF t-value p-value
duration40:intensity 0.078111 0.0533651 165 1.463718 0.1452
duration100:intensity 0.086904 0.0533651 165 1.628480 0.1053
duration200:intensity 0.029069 0.0533651 165 0.544725 0.5867
duration500:intensity 0.008720 0.0533651 165 0.163403 0.8704
duration1000:intensity 0.006706 0.0533651 165 0.125671 0.9001
pairwise comparisons among the levels of your factors (k) that is tested
by the F test. The number of comparisons is actually: k(k-1)/2. If I
have a factor with 4 levels, then I have 6 possible comparisons.
The coefficients from summary.lme are the slopes and they are not with
reference to anything so I guessed that the t-tests must be for a
significant difference from zero slope. As you can see, none are
significantly different from zero.
So this high F-value is confusing me. Are you saying that it indicates a
significant difference in the estimated slopes of intensity across
duration? Even though the estimates themselves are so uncertain they cannot
be considered to be significantly different from zero? That seems... odd.
So I'm safe in reporting the result as "none of the 5 durations tested had
intensity slopes that were significantly different from zero" ?
I ignore the F-value because it's not the hypothesis of interest?
Rob
--
remove ferret to reply
.
- Follow-Ups:
- Re: interpretting F & t-vals from regression
- From: Kevin E. Thorpe
- Re: interpretting F & t-vals from regression
- From: Reef Fish
- Re: interpretting F & t-vals from regression
- References:
- interpretting F & t-vals from regression
- From: Rob Campbell
- Re: interpretting F & t-vals from regression
- From: Brett Magill
- interpretting F & t-vals from regression
- Prev by Date: Re: interpretting F & t-vals from regression
- Next by Date: Re: interpretting F & t-vals from regression
- Previous by thread: Re: interpretting F & t-vals from regression
- Next by thread: Re: interpretting F & t-vals from regression
- Index(es):
Relevant Pages
|