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Published on: March 25, 2014
Response time models of delta plots with negative-going slopes
1Department of Psychology, University of Potsdam, P.O. Box 60 15 53, 14415, Potsdam-Golm, Germany. wschwarz@uni-potsdam.de
Decreasing delta plots (nDPs) in reaction time studies suggest faster conditions have more variability. Analyzing five latency models reveals nDPs are consistent with several, but DPs don't imply specific models.
Area of Science:
- Cognitive Psychology
- Psychophysics
- Computational Neuroscience
Background:
- Delta plots (DPs) visually compare reaction time (RT) quantiles across conditions.
- Decreasing delta plots (nDPs) indicate experimental effects are larger at lower quantiles, a pattern seen in areas like Simon effects.
- nDPs are intriguing as they imply greater RT variability in the faster condition, challenging standard RT models.
Purpose of the Study:
- To analyze five classes of latency mechanisms consistent with nDPs.
- To discuss the implications of these analyses for interpreting DPs.
- To propose a more fruitful approach to RT model comparison.
Main Methods:
- Described and analyzed five established latency mechanisms: exhaustive processing, correlated stages, mixture models, cascade models, and parallel channels.
- Examined the consistency of these models with nDP patterns.
- Discussed the interpretational limits of DPs.
Main Results:
- Five classes of latency models were identified as consistent with nDPs.
- The analysis highlights that DPs alone do not typically imply a specific processing model.
- A greater variability in RT for the faster condition is a key implication of nDPs.
Conclusions:
- DPs are generally insufficient for inferring specific processing models.
- It is more productive to start with a quantitative model and compare its predicted DP to empirical data.
- Understanding nDPs requires considering models that accommodate increased variability in faster conditions.
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