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Updated: Oct 31, 2025

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Examining Bilingual Language Control Using the Stroop Task
Published on: February 26, 2020
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The role of contingency and correlation in the Stroop task
Nabil Hasshim1, Benjamin A Parris2
1De Montfort University, Leicester, UK.
Summary
This study explored how learned word-response and word-color patterns influence the Stroop task. Results suggest these learned patterns do not affect facilitation but significantly reduce interference.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Experimental Psychology
Background:
- The Stroop task measures cognitive control, with facilitation (faster responses to congruent trials) being difficult to model.
- Existing models often focus on top-down attention control, but implicit learning may also play a role.
- The influence of learned word-response contingency and word-color correlation on Stroop effects requires further investigation.
Purpose of the Study:
- To investigate the roles of word-response contingency, word-color correlation, and proportion congruency in Stroop task performance.
- To determine if implicit learning (contingency and correlation) affects facilitation, challenging attention-based accounts.
- To examine how manipulating trial proportions and learned biases impacts both facilitation and interference.
Main Methods:
- Two experiments compared standard Stroop task designs with modified designs.
- Experiment 1 used unequal congruency proportions without contingency/correlation biases.
- Experiment 2 biased correlation while controlling for proportion congruency and contingency.
Main Results:
- Contingency and correlation did not significantly affect facilitation.
- Interference in the Stroop task was substantially reduced (nearly halved) in Experiment 2's modified design.
- This reduction in interference suggests a significant effect of contingency learning.
Conclusions:
- Implicit learning through contingency and correlation does not appear to drive facilitation in the Stroop task.
- Contingency learning significantly impacts Stroop interference, challenging purely top-down attention control models.
- Future research should consider implicit learning mechanisms in cognitive control models.
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