scholarly journals The size congruity effect in visual search for digits involves both facilitation and interference

2016 ◽  
Vol 16 (12) ◽  
pp. 993
Author(s):  
Amrita Puri ◽  
Kenith Sobel ◽  
Nikolas Sieg ◽  
Zachery Stillman
Keyword(s):  
Visual Search ◽  
Congruity Effect ◽  
Size Congruity Effect

scholarly journals Bottom-up and top-down attentional contributions to the size congruity effect

2016 ◽  
Vol 78 (5) ◽  
pp. 1324-1336 ◽  
Author(s):  
Kenith V. Sobel ◽  
Amrita M. Puri ◽  
Thomas J. Faulkenberry
Keyword(s):  
Congruity Effect ◽  
Top Down ◽  
Bottom Up ◽  
Size Congruity Effect

The size congruity effect: Is bigger always more?

Cognition ◽  
2011 ◽  
Vol 118 (1) ◽  
pp. 94-110 ◽  
Author(s):  
Seppe Santens ◽  
Tom Verguts
Keyword(s):  
Congruity Effect ◽  
Size Congruity Effect

Response trajectories capture the continuous dynamics of the size congruity effect

2016 ◽  
Vol 163 ◽  
pp. 114-123 ◽  
Author(s):  
Thomas J. Faulkenberry ◽  
Alexander Cruise ◽  
Dmitri Lavro ◽  
Samuel Shaki
Keyword(s):  
Congruity Effect ◽  
Size Congruity Effect

scholarly journals Modeling the latent structure of individual differences in the numerical size-congruity effect

2020 ◽  
Author(s):  
Thomas J. Faulkenberry ◽  
Kristen Bowman
Keyword(s):  
Individual Differences ◽  
Numerical Cognition ◽  
Congruity Effect ◽  
Numerical Magnitude ◽  
Data Sets ◽  
Comparison Task ◽  
Physical Size ◽  
The Individual ◽  
Size Congruity Effect ◽  
Individual Size

When people are asked to choose the physically larger of a pair of numerals, they are often slower when relative physical size is incongruent with numerical magnitude. This size-congruity effect is usually assumed as evidence for automatic activation of numerical magnitude. In this paper, we apply the methods of Haaf and Rouder (2017) to look at the size-congruity effect through the lens of individual differences. Here, we simply ask whether everyone exhibits the effect. We develop a class of hierarchical Bayesian mixed models with varying levels of constraint on the individual size- congruity effects. The models are then compared via Bayes factors, telling us which model best predicts the observed data. We then apply this modeling technique to three data sets. In all three data sets, the winning model was one in which the size-congruity effect was constrained to be positive. This indicates that, at least in a physical comparison task with numerals, everyone exhibits a positive size-congruity effect. We discuss these results in the context of measurement fidelity and theory-building in numerical cognition.

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