nuala brady
2010-Jul-28 13:08 UTC
[R] Help with specifiying random effects in lmer - psychology experiment
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--> Hi all, I’m a psychologist moving from anova to lmer for analysis of
response time (and error data) from a reaction time experiment, and have a
question about specifying the structure of random effects in the model. Many of
the examples I am reading about involve split-plot designs where effects are
nested within each other .... This is not the case here: I am using a typical
repeated measures design where each subject does everything: 30 subjects judge
the laterality of a hand shown on a computer screen, completing 18 trials in all
combinations of the following experimental factors (Angle, 8 levels (hand shown
in 8 different orientations), Laterality, 2 levels (both right and left hands
shown), Condition, 3 levels (participant holds own hands in posture a,b or c).
With repeated measures ANOVA the Error structure is specified as follows
aov(percentErrors~angle*condition*laterality+Error(subject/(angle*condition*laterality)),data=errorData)
aov(meanRT~angle*condition*laterality+Error(subject/(angle*condition*laterality)),data=RTdata)
where response variables, percentErrors and meanRT, are the percentage of
errors (out of 18 trials) and the mean reaction time over 18 trials I need
to move to lmer as variance is not constant across Angle and error data are
bounded (0,1) so I should use the binomial family – my first pass (looking at
all main effects & possible interactions) is:
lmer(cbind(numErrors,numCorrect)~angle*condition*laterality+(angle*condition*laterality|subject),family=”binomial”),data=errorData)
where numErrors+numCorrect = 18 for each subject &
Angle-Laterality-Condition combination
lmer(meanRT~angle*condition*laterality+(angle*condition*laterality|subject),data=RTdata)
I am unsure if this is correct? Help is welcome, thanks - Nuala
Nuala Brady
School of Psychology
University College Dublin
Belfield, D4
IRELAND
+353 (0)1 716 8247
nuala.brady@ucd.ie
[[alternative HTML version deleted]]
nuala brady
2010-Jul-28 13:22 UTC
[R] Help with specifiying random effects in lmer - psychology experiment
Apologies, not sure why that was so garbled first time! - posting again more simply I want to use lmer for analysis of response time (& error data) from a reaction time experiment, and have a question about specifying the structure of random effects in the model. I am using a repeated measures design where 30 subjects judge the laterality of a hand shown on a computer screen, completing 18 trials in all combinations of the following experimental factors (Angle, 8 levels (hand shown in 8 orientations), Laterality, 2 levels (both right & left hands shown), Condition, 3 levels (participant holds own hands in posture a,b or c). With repeated measures ANOVA the Error structure is specified as follows: aov(percentErrors~angle*condition*laterality+Error(subject/(angle*condition*laterality)),data=errorData) aov(meanRT~angle*condition*laterality+Error(subject/(angle*condition*laterality)),data=RTdata) where response variables, percentErrors and meanRT, are the percentage of errors (out of 18 trials) and the mean reaction time over 18 trials . I need to move to lmer as variance is not constant across Angle and error data are bounded (0,1) so I should use the binomial family – my first pass (looking at all main effects & possible interactions) is: lmer(cbind(numErrors,numCorrect)~angle*condition*laterality+(angle*condition*laterality|subject),family=”binomial”),data=errorData) where numErrors+numCorrect = 18 for each subject & Angle-Laterality-Condition combination lmer(meanRT~angle*condition*laterality+(angle*condition*laterality|subject),data=RTdata) I am unsure if this is correct? Help is welcome, thanks - Nuala ----- Original Message ----- From: nuala brady <nuala.brady@ucd.ie> Date: Wednesday, July 28, 2010 2:09 pm Subject: [R] Help with specifiying random effects in lmer - psychology experiment To: r-help@r-project.org> <!-- /* Font Definitions */ @font- > face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 > 4 6 3 2 4; mso-font-charset:0; mso-generic-font- > family:roman; mso-font-pitch:variable; mso-font- > signature:-1610611985 1107304683 0 0 159 0;} @font- > face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 > 2 4; mso-font-charset:0; mso-generic-font- > family:swiss; mso-font-pitch:variable; mso-font- > signature:-1610611985 1073750139 0 0 159 0;} /* Style > Definitions */ p.MsoNormal, li.MsoNormal, > div.MsoNormal {mso-style-unhide:no; mso-style- > qformat:yes; mso-style-parent:""; margin- > top:0cm; margin-right:0cm; margin- > bottom:10.0pt; margin-left:0cm; line- > height:115%; mso-pagination:widow-orphan; font- > size:11.0pt; font-family:"Calibri","sans-serif"; mso- > fareast-font-family:Calibri; mso-bidi-font-family:"Times > New Roman"; mso-fareast-language:EN-US;} > .MsoChpDefault {mso-style-type:export-only; mso- > default-props:yes; font-size:10.0pt; mso-ansi-font- > size:10.0pt; mso-bidi-font-size:10.0pt; mso-ascii- > font-family:Calibri; mso-fareast-font- > family:Calibri; mso-hansi-font-family:Calibri;} @page > Section1 {size:595.3pt 841.9pt; margin:72.0pt 72.0pt > 72.0pt 72.0pt; mso-header-margin:35.4pt; mso-footer- > margin:35.4pt; mso-paper-source:0;} > div.Section1 {page:Section1;} --> Hi all, I’m > a psychologist moving from anova to lmer for analysis of > response time (and error data) from a reaction time experiment, > and have a question about specifying the structure of random > effects in the model. Many of the examples I am reading about > involve split-plot designs where effects are nested within each > other .... This is not the case here: I am using a typical > repeated measures design where each subject does > everything: 30 subjects judge the laterality of a hand > shown on a computer screen, completing 18 trials in all > combinations of the following experimental factors (Angle, 8 > levels (hand shown in 8 different orientations), Laterality, 2 > levels (both right and left hands shown), Condition, 3 levels > (participant holds own hands in posture a,b or c). With > repeated measures ANOVA the Error structure is specified as > follows aov(percentErrors~angle*condition*laterality+Error(subject/(angle*condition*laterality)),data=errorData) aov(meanRT~angle*condition*laterality+Error(subject/(angle*condition*laterality)),data=RTdata) where response variables, percentErrors and meanRT, are the percentage of errors (out of 18 trials) and the mean reaction time over 18 trials I need to move to lmer as variance is not constant across Angle and error data are bounded (0,1) so I should use the binomial family – my first pass (looking at all main effects & possible interactions) is: lmer(cbind(numErrors,numCorrect)~angle*condition*laterality+(angle*condition*laterality|subject),family=”binomial”),data=errorData) where numErrors+numCorrect = 18 for each subject & Angle-Laterality-Condition combination lmer(meanRT~angle*condition*laterality+(angle*condition*laterality|subject),data=RTdata) I am unsure if this is correct? Help is welcome, thanks - Nuala > > Nuala Brady > School of Psychology > University College Dublin > Belfield, D4 > IRELAND > > +353 (0)1 716 8247 > nuala.brady@ucd.ie > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R- > project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.Nuala Brady School of Psychology University College Dublin Belfield, D4 IRELAND +353 (0)1 716 8247 nuala.brady@ucd.ie [[alternative HTML version deleted]]
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