Analyzing "Visual World" Eyetracking Data Using Multilevel Logistic Regression

Autor/in	Barr, Dale J.
Titel	Analyzing "Visual World" Eyetracking Data Using Multilevel Logistic Regression
Quelle	In: Journal of Memory and Language, 59 (2008) 4, S.457-474 (18 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0749-596X
DOI	10.1016/j.jml.2007.09.002
Schlagwörter	Mathematical Models; Regression (Statistics); Researchers; Guidelines; Eye Movements; Psycholinguistics; Hypothesis Testing + Suchen Sie Ihr Suchwort? Mathematical model; Mathematisches Modell; Regression; Regressionsanalyse; Researcher; Forscher; Richtlinien; Augenbewegung; Psycholinguistik; Hypothesenprüfung; Hypothesentest
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. (Contains 7 figures and 1 table.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10