What is it about?
Mean performance measures conceal important information about how behavior changes over time in priming studies.
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Why is it important?
The kind of inferences one can make based on empirical RT data strongly depends on the kind of data-analysis method is used. Here, we illustrate how one can use discrete-time event history analysis for any RT data set.
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This page is a summary of: Temporal dynamics of sequential motor activation in a dual-prime paradigm: Insights from conditional accuracy and hazard functions, Attention Perception & Psychophysics, March 2020, Springer Science + Business Media,
DOI: 10.3758/s13414-020-02010-5.
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