yes, I did two cross-language/dialect structural priming studies, with
the same design and the same materials. In one experiment, Mandarin was
the response language in one experiment and Cantonese was the response
language in the other(primes were either in Mandarin and Cantonese in
both experiments).
Zhenguang
T. Florian Jaeger wrote:
Dear Zhenguang,
what do your mean by Experiment 1 and 2? You have two different data sets?
Florian
On Fri, Jun 25, 2010 at 9:12 AM, Zhenguang Cai <s0782...@sms.ed.ac.uk
<mailto:s0782...@sms.ed.ac.uk>> wrote:
Dear Professor Trueswell,
Thanks for the advice. I did that and found that P2 can be subsumed
by P1 but not the other way round. I think that means something.
My further question is that we always at least have to determine 1)
whether P2 can be subsumed by P1 (i.e., whether the addition of P2
can significantly improve model fit) and 2) whether P2 can be
subsumed by P1 (i.e., whether the addition of P2 can significantly
improve model fit). Is that correct?
Zhenguang
John Trueswell wrote:
Zhenguang,
If Experiment 1 and Experiment 2 are similar enough, you could
combine
the data from the two experiments and model the entire set (keeping
Experiment as a predictor in the model, to see if that matters).
John Trueswell
On Thu, Jun 24, 2010 at 5:17 PM, Zhenguang Cai
<s0782...@sms.ed.ac.uk <mailto:s0782...@sms.ed.ac.uk>> wrote:
Dear R-language people,
I realized that this is probably a question that has been
frequently asked
already, so sorry for spam to some people.
I found high correlation between two predictors (P1 and P2)
(r = .8). So
following Florian's advice, I did model comparisons to try
to exclude one of
the predictors. However, I am not sure whether I did things
in the right
way.
Step 1 (to determine whether P2 can be subsumed by P1)
M0<- lmer(Data~1+(1|Subject)+(1|Item),family='binomial')
M1<- lmer(Data~P1+(1|Subject)+(1|Item),family='binomial')
M2 <- lmer(Data~P1+P2+(1|Subject)+(1|Item),family='binomial')
anova (M0, M1)
anova (M1, M2)
Step 1 (to determine whether P1 can be subsumed by P2)
M0<- lmer(Data~1+(1|Subject)+(1|Item),family='binomial')
M1<- lmer(Data~P2+(1|Subject)+(1|Item),family='binomial')
M2 <- lmer(Data~P2+P1+(1|Subject)+(1|Item),family='binomial')
anova (M0, M1)
anova (M1, M2)
In Experiment 1, I found P2 can be subsumed by P1 but not
the other way
round.
However, in Experiment 2, I found P1 and P2 can be subsumed
by each other.
How to resolve this?
Thanks,
Zhenguang
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The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
