Abstract
When programming an experimental task, it is crucial to bear in mind data analysis and visualization needs. A small amount of time invested in the experimental script can save a great deal of time at the analysis stage. This chapter will focus on the programming protocols that allow seamless integration with Data Viewer, a powerful data analysis and visualization software developed by SR Research.
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Reference
C.M. MacLeod, The Stroop task: The “gold standard” of attentional measures. J. Exp. Psychol. Gen. 121(1), 12–14 (1992). https://doi.org/10.1037/0096-3445.121.1.12
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Wang, Z. (2021). Preparing Scripts that Support Analysis and Visualization in Data Viewer. In: Eye-Tracking with Python and Pylink. Springer, Cham. https://doi.org/10.1007/978-3-030-82635-2_5
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DOI: https://doi.org/10.1007/978-3-030-82635-2_5
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Publisher Name: Springer, Cham
Print ISBN: 978-3-030-82634-5
Online ISBN: 978-3-030-82635-2
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