Barr, D.J. (2008) Analyzing 'visual world' eyetracking data using multilevel logistic regression. Journal of Memory and Language, 59(4), pp. 457-474. (doi: 10.1016/j.jml.2007.09.002)
Full text not currently available from Enlighten.
Abstract
A new framework is offered that uses multilevel logistic regression (MLR) to analyze data from 'visual world' eyetracking experiments used in psycholinguistic research. The MLR framework overcomes some of the problems with conventional analyses, making it possible to incorporate time as a continuous variable and gaze location as a categorical dependent variable. The multilevel approach minimizes the need for data aggregation and thus provides a more statistically powerful approach. With MLR, the researcher builds a mathematical model of the overall response curve that separates the response into different temporal components. The researcher can test hypotheses by examining the impact of independent variables and their interactions on these components. A worked example using MLR is provided.
Item Type: | Articles |
---|---|
Keywords: | cognitive_science, language_comprehension, psycholinguistics, statistics, visual_world |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Barr, Dr Dale |
Authors: | Barr, D.J. |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology H Social Sciences > HA Statistics |
College/School: | College of Science and Engineering > School of Psychology College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
Journal Name: | Journal of Memory and Language |
ISSN: | 0749-596X |
ISSN (Online): | 1096-0821 |
Published Online: | 26 November 2007 |
University Staff: Request a correction | Enlighten Editors: Update this record