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Related Experiment Video

Updated: May 11, 2025

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Published on: June 14, 2019

Inverted list-strength effects in recognition.

Jeremy B Caplan¹, Dominic Guitard²

¹Department of Psychology, University of Alberta.

Journal of Experimental Psychology. Learning, Memory, and Cognition

|April 17, 2025

Summary

This summary is machine-generated.

Inverted list-strength effects in memory are robust, even when study time is equated. List composition influences feature processing and response bias, impacting memory performance for strong and weak items.

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Area of Science:

Cognitive Psychology
Human Memory
Experimental Psychology

Background:

List-strength effects predict memory differences based on item study strength.
Previous models struggled to explain inverted list-strength effects in recognition memory.
Differentiation and attentional subsetting theories proposed mechanisms for inverted effects.

Purpose of the Study:

To replicate inverted list-strength effects under controlled conditions.
To investigate the role of stimulus duration and repetition in list-strength effects.
To examine fine-grained data patterns and theoretical model fits.

Main Methods:

Experiments equating display time for study items.
Experiments using massed repetition to control for stimulus onsets.
Model fitting to assess theoretical accounts against observed data.

Main Results:

Inverted list-strength effects were replicated when display time was equated.
Fine data structure revealed reduced hit rates for weak items in pure lists.
Model fits indicated list composition affects feature processing and response bias.

Conclusions:

Inverted list-strength effects are robust and not solely dependent on study duration.
Differential processing of probe features, influenced by list composition, is critical.
Participant response bias adapting to list composition plays a significant role.