November 2024
Intermediate to advanced
200 pages
5h 22m
English
Edwin S. Dalmaijer
Now that you know how to analyse reaction time and accuracy data, it’s time to move on to something a bit more complicated: trace analysis. A trace can be any type of data that you collect continuously: pupil size, EEG, fMRI, force output, movement velocity, and so on. It doesn’t really matter where the trace comes from, the basic steps of the analysis are always the same: you collect the traces for individual trials, average them per condition, and then test when the traces are different between conditions.
In this chapter, you will use an example dataset of pupillometry measurements. You can download it from the companion website. Put this file in a new empty ...
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