Hi all!  This is my first time posting to the forum.  I am, admittedly, an
R novice (and statistical almost-novice) with little experience with mixed
models analysis.  However, I was referred here by someone who is an R whiz,
if that counts for anything.  Today I was attempting to use KRmodcomp and
got the following (rather confusing) output:

F-test with Kenward-Roger approximation; computing time: 2.10 sec.
large : Time ~ Grammar + Syllables + Order + (Grammar + Syllables + Order |
    Subject)
small : Time ~ Syllables + Order + (Grammar + Syllables + Order | Subject)
         stat     ndf     ddf F.scaling p.value
Ftest -25.141   1.000  39.975         1       1

Any idea what could be causing this?  Here's the summary for ModelA, if
that helps:

Linear mixed model fit by REML ['lmerMod']
Formula: Time ~ Grammar + Syllables + Order + (Grammar + Syllables + Order
|      Subject)
   Data: data1

REML criterion at convergence: 317.5946

Random effects:
 Groups   Name              Variance Std.Dev. Corr
 Subject  (Intercept)       0.021865 0.14787
          Grammarspeed_slow 0.004639 0.06811  -0.78
          Syllables         0.000408 0.02020   0.10 -0.69
          OrderB            0.061705 0.24841  -0.58  0.66 -0.30
 Residual                   0.085452 0.29232
Number of obs: 571, groups: Subject, 41

Fixed effects:
                   Estimate Std. Error t value
(Intercept)        1.510485   0.122052  12.376
Grammarspeed_slow -0.123387   0.027608  -4.469
Syllables          0.033882   0.016742   2.024
OrderB            -0.003791   0.064584  -0.059

Correlation of Fixed Effects:
            (Intr) Grmmr_ Syllbl
Grmmrspd_sl  0.096
Syllables   -0.923 -0.302
OrderB      -0.209  0.152 -0.034

The t-value of -4.47 seems promising, so any help you could give me would
be greatly appreciated!

Again, I'm a novice.  If there's any other information that you require
from me here, please don't hesitate to ask!

Thanks very much!

-Kevin

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