| Title |
Dissociating proactive and reactive control in the Stroop task
|
|---|---|
| Published in |
Memory & Cognition, February 2016
|
| DOI | 10.3758/s13421-016-0591-1 |
| Pubmed ID | |
| Authors |
Corentin Gonthier, Todd S. Braver, Julie M. Bugg |
| Abstract |
The Dual Mechanisms of Control framework posits the existence of two distinct control mechanisms, proactive and reactive, which may operate independently. However, this independence has been difficult to study with most experimental paradigms. The Stroop task may provide a useful way of assessing the independence of control mechanisms because the task elicits two types of proportion congruency effects, list-wide and item-specific, thought to reflect proactive and reactive control respectively. The present research tested whether these two proportion congruency effects can be used to dissociate proactive and reactive control. In 2 separate participant samples, we demonstrate that list-wide and item-specific proportion congruency effects are stable, exist in the same participants, and appear in different task conditions. Moreover, we identify two distinct behavioral signatures, the congruency cost and the transfer cost, which doubly dissociate the two effects. Together, the results are consistent with the view that proactive and reactive control reflect independent mechanisms. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Unknown | 190 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 20% |
| Student > Master | 32 | 17% |
| Researcher | 23 | 12% |
| Student > Doctoral Student | 13 | 7% |
| Student > Bachelor | 12 | 6% |
| Other | 22 | 11% |
| Unknown | 52 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 97 | 50% |
| Neuroscience | 22 | 11% |
| Linguistics | 3 | 2% |
| Social Sciences | 2 | 1% |
| Agricultural and Biological Sciences | 1 | <1% |
| Other | 6 | 3% |
| Unknown | 62 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 July 2016.
All research outputs
#16,775,211
of 25,443,857 outputs
Outputs from Memory & Cognition
#981
of 1,652 outputs
Outputs of similar age
#237,903
of 409,967 outputs
Outputs of similar age from Memory & Cognition
#11
of 20 outputs
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