Abstract
In order to judge the degree of confidence one should have in the results of an experiment using eye movement records as data, it is necessary to have information about the quality of the eye movement data themselves. Suggestions are made for ways of assessing and reporting this information. The paper deals with three areas: characteristics of the eye movement signal, algorithms used in reducing the data, and accuracy of the eye position data. It is suggested that all studies involving eye movement data should report such information. Appendices include linear interpolation algorithms for mapping from the eye movement signal to stimulus space and a way of obtaining an index of accuracy for each data point.
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O’Regan, J. K. Personal communication, 1980.
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This paper was prepared with support from Grant MH 24241 from the National Institute of Mental Health to the author, and Contract US-NIE-400-76-0116 from the National Institute of Education to the Center for the Study of Reading, University of Illinois. The author wishes to acknowledge contributions to this paper by Thomas Hogaboam, Marcel Just, Richard Olson, Kevin O’Regan, Keith Rayner, Gary Wolverton, and David Zola, all of whom read an earlier version and suggested helpful modifications, many of which are included.
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McConkie, G.W. Evaluating and reporting data quality in eye movement research. Behavior Research Methods & Instrumentation 13, 97–106 (1981). https://doi.org/10.3758/BF03207916
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DOI: https://doi.org/10.3758/BF03207916