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Interference Between Number Magnitude and Parity.

Attila Krajcsi¹, Gábor Lengyel², Ákos Laczkó¹

¹1 Department of Cognitive Psychology, Eötvös Loránd University, Budapest, Hungary.

Experimental Psychology

|April 11, 2018

Summary

This summary is machine-generated.

Number magnitude interferes with parity decisions, supporting discrete representations in numerical cognition. A new dual index reveals heterogeneous interference missed in prior studies.

Keywords:

MARC effect PNARC effect SNARC effect analogue magnitude system discrete number representation heterogeneous interference homogeneous interference numerical interference

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Area of Science:

Cognitive Psychology
Numerical Cognition
Human Information Processing

Background:

Numerical interference can stem from analogue magnitude or discrete categorical systems.
Parity, a discrete property, was investigated for its potential interference with number magnitude representation.

Purpose of the Study:

To determine if parity interferes with number magnitude processing.
To introduce and validate a dual index for detecting heterogeneous interference.
To explore the relationship between magnitude-parity interference and response-side effects (SNARC and MARC effects).

Main Methods:

Participants performed a parity decision task while number magnitude was manipulated.
A novel interference index, the dual index, was developed to quantify heterogeneous interference.
Correlation analyses were conducted between magnitude-parity interference and established spatial-numerical association effects.

Main Results:

Number magnitude significantly interfered with parity judgments, supporting discrete representations.
Heterogeneous interference was observed, with some participants linking evenness to large numbers and others to small numbers.
Magnitude-parity interference showed no correlation with the Spatial-Numerical Association of Response Codes (SNARC) or Markedness Association of Response Codes (MARC) effects.

Conclusions:

Discrete representations play a crucial role in numerical interference phenomena.
The dual index effectively identifies heterogeneous interference patterns in numerical cognition.
Magnitude-parity interference appears independent of response-side biases, suggesting distinct underlying mechanisms.