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Investigating strength and frequency effects in recognition memory using type-2 signal detection theory
Philip A Higham1, Timothy J Perfect, Davide Bruno
1School of Psychology, University of Southampton, Highfield, Southampton, England SO17 1BJ. higham@soton.ac.uk
Journal of Experimental Psychology. Learning, Memory, and Cognition
|February 13, 2009
Summary
This study used Type-2 ROC analysis to differentiate between criterion- and distribution-shift models of recognition memory. Findings show Type-2 analysis effectively distinguishes memory models where Type-1 indices are ambiguous.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Memory Research
Background:
- Recognition memory effects, such as frequency and strength, are debated between criterion-shift and distribution-shift accounts.
- Traditional Type-1 signal detection indices often fail to distinguish between these competing models.
- Metacognitive monitoring, assessed via Type-2 signal detection receiver operating characteristic (ROC) analysis, offers a potential solution.
Purpose of the Study:
- To investigate criterion- versus distribution-shift accounts of frequency and strength effects in recognition memory.
- To determine if Type-2 ROC analysis can discriminate between memory models that are ambiguous using Type-1 indices alone.
- To validate assumptions of Type-2 analysis by manipulating response bias.
Main Methods:
- Utilized Type-2 signal detection receiver operating characteristic (ROC) analysis to measure metacognitive monitoring.
- Conducted experiments manipulating word frequency (Experiment 1) and item strength via repetition (Experiment 2).
- Manipulated Type-1 response bias by varying response categories (Experiment 3) to confirm analytical assumptions.
Main Results:
- Experiment 1 showed a frequency-based mirror effect (higher hit rate, lower false alarm rate for low-frequency words).
- Experiment 2 demonstrated an increased hit rate but no change in false alarm rate with item strength manipulation.
- Type-2 ROC analysis successfully discriminated between criterion- and distribution-shift models, unlike Type-1 indices.
Conclusions:
- Type-2 signal detection analysis is a valuable tool for investigating recognition memory.
- This method provides insights into memory processes that are not discernible with traditional Type-1 analyses.
- Type-2 analyses, when combined with Type-1 methods, enhance the understanding of memory models.

