ArticleMemory & cognition2020
Pure-list production improves item recognition and sometimes also improves source memory.
Article in Memory & cognition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- EEG-based multivariate and univariate analyses reveal the mechanisms underlying the recognition-based production effect: evidence from mixed-list design.Frontiers in human neuroscience · 2025Article
- Directed Forgetting and the Production Effect.Experimental psychology · 2024Article
- It's All About That Case.Experimental psychology · 2024Article
- Association and dissociation between judgments of learning and memory: A Meta-analysis of the font size effect.Metacognition and learning · 2022Article
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Authors and funding
3 authors.
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Abstract
Relative to reading silently, reading words aloud (a type of "production") typically enhances item recognition, even when production is manipulated between groups using pure lists. We investigated whether pure-list production also enhances memory for various item details (i.e., source memory). Screen side (Experiment 1), font size (Experiment 2), or reading versus generating from anagrams (Experiments 3-4) were the sources varied within-subject, and aloud versus silent reading was varied across groups. Thus, the manipulation of source was apparent to participants, whereas the manipulation of production was not. Traditional measures and multinomial modeling established that the aloud groups generally showed improved item recognition-and showed improved source memory when steps were taken to enhance the salience of the source manipulation (Experiment 4). In summary, reading an entire list of items improves item recognition and can also improve memory for some types of source details.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.