Abstract
Currently, many experimental studies of speech production use fully counterbalanced designs to examine variation in categorical (e.g, correct/incorrect) or relatively continuous measures (e.g., reaction times, voice onset times). These data present several challenges to ANOVA analyses. Some of these issues are well known to be the speech community; for example, the non-normality of dependent variables such as proportion correct. Others have been less extensively addressed; for example, many speech studies account for participant-but not item-specific contributions to variance. I discuss the opportunities and challenges in using linear mixed effects models to address these issues.
| Original language | English (US) |
|---|---|
| Article number | 060030 |
| Journal | Proceedings of Meetings on Acoustics |
| Volume | 19 |
| DOIs | |
| State | Published - Jun 19 2013 |
| Event | 21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America - Montreal, QC, Canada Duration: Jun 2 2013 → Jun 7 2013 |
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ASJC Scopus subject areas
- Acoustics and Ultrasonics
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Experimentally elicited productions : Differences and similarities between mixed effects and ANOVA analyses. / Goldrick, Matthew.
In: Proceedings of Meetings on Acoustics, Vol. 19, 060030, 19.06.2013.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Experimentally elicited productions
T2 - Differences and similarities between mixed effects and ANOVA analyses
AU - Goldrick, Matthew
PY - 2013/6/19
Y1 - 2013/6/19
N2 - Currently, many experimental studies of speech production use fully counterbalanced designs to examine variation in categorical (e.g, correct/incorrect) or relatively continuous measures (e.g., reaction times, voice onset times). These data present several challenges to ANOVA analyses. Some of these issues are well known to be the speech community; for example, the non-normality of dependent variables such as proportion correct. Others have been less extensively addressed; for example, many speech studies account for participant-but not item-specific contributions to variance. I discuss the opportunities and challenges in using linear mixed effects models to address these issues.
AB - Currently, many experimental studies of speech production use fully counterbalanced designs to examine variation in categorical (e.g, correct/incorrect) or relatively continuous measures (e.g., reaction times, voice onset times). These data present several challenges to ANOVA analyses. Some of these issues are well known to be the speech community; for example, the non-normality of dependent variables such as proportion correct. Others have been less extensively addressed; for example, many speech studies account for participant-but not item-specific contributions to variance. I discuss the opportunities and challenges in using linear mixed effects models to address these issues.
UR - http://www.scopus.com/inward/record.url?scp=84878986576&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878986576&partnerID=8YFLogxK
U2 - 10.1121/1.4793583
DO - 10.1121/1.4793583
M3 - Conference article
AN - SCOPUS:84878986576
VL - 19
JO - Proceedings of Meetings on Acoustics
JF - Proceedings of Meetings on Acoustics
SN - 1939-800X
M1 - 060030
ER -