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Theoretical note: Exploring Luce's (1963) low-threshold model applied to recognition memory
Ryan M McAdoo1, Scott D Gronlund1
1Department of Psychology.
Recognition memory may involve both discrete and continuous processes. This study shows that Luce's low-threshold model (discrete) and signal detection theory (continuous) both explain recognition data, but for different memory strengths.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Memory Research
Background:
- The mediation of recognition memory by discrete versus continuous processes remains a significant debate in cognitive psychology.
- Luce's low-threshold model, a discrete process model, has been historically overlooked but quantitatively matches data previously thought to support continuous models like signal detection theory.
- Previous research indicated quantitative equivalence between discrete and continuous models, prompting further investigation into their distinct explanatory roles.
Purpose of the Study:
- To replicate and extend the finding that Luce's low-threshold model quantitatively matches recognition memory data as well as signal detection theory.
- To investigate the differential fit of discrete (low-threshold) and continuous (signal detection theory) models to recognition memory data based on stimulus encoding strength.
- To propose an alternative framework for recognition memory that integrates both discrete and continuous mediation through strategic control processes.
Main Methods:
- Replication of previous findings across 8 distinct experiments.
- Quantitative comparison of the predictive accuracy of Luce's low-threshold model and signal detection theory.
- Analysis of model performance in relation to the encoding strength of stimuli presented during recognition tasks.
Main Results:
- The low-threshold model and signal detection theory were found to quantitatively describe recognition memory data similarly across 8 experiments.
- A key finding revealed that the low-threshold model better explains data from strongly encoded stimuli.
- Conversely, signal detection theory demonstrated a superior fit for data associated with weakly encoded stimuli.
Conclusions:
- The equivalence between discrete and continuous models in recognition memory is explained by their differential fit to stimuli based on encoding strength.
- A novel framework is proposed where a control process, potentially driven by metacognitive judgments of item strength, can shift memory mediation between discrete and continuous processes.
- This suggests that recognition memory may not be exclusively discrete or continuous but dynamically regulated by strategic control mechanisms.
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