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Related Experiment Video

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Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

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The mirror effect and mixture signal detection theory.

Lawrence T DeCarlo¹

¹Department of Human Development, Teachers College, Columbia University, New York, NY 10027, USA. decarlo@tc.edu

Journal of Experimental Psychology. Learning, Memory, and Cognition

|January 5, 2007

Summary

The mirror effect in word frequency shows low-frequency words are easier to detect. Conventional signal detection theory (SDT) explains this, but mixture SDT suggests underlying distributions may differ.

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Area of Science:

Cognitive Psychology
Psycholinguistics
Memory Research

Background:

The mirror effect demonstrates that low-frequency words yield higher hit rates and lower false alarm rates compared to high-frequency words.
This phenomenon is traditionally explained using conventional signal detection theory (SDT).

Purpose of the Study:

To investigate the implications of mixture signal detection theory (SDT) on the interpretation of the mirror effect.
To determine if the order of underlying distributions aligns with observed hit and false alarm rates under mixture SDT.

Main Methods:

Analysis of data from four experiments examining word frequency effects on recognition memory.
Fitting mixture signal detection theory (SDT) models to the experimental data.

Main Results:

Conventional signal detection theory (SDT) suggests mirroring between old and new item distributions based on hit and false alarm rates.
Fits of mixture SDT models to the experimental data did not reveal a reversal in the underlying distributions.

Conclusions:

The mirror effect's interpretation may require considering mixture SDT, which accounts for potential mixing effects.
Empirical data from four experiments did not support a reversal in underlying distributions when analyzed with mixture SDT models.