Predicting Recall of Words and Lists

Autor/inn/en	Aka, Ada; Phan, Tung D.; Kahana, Michael J.
Titel	Predicting Recall of Words and Lists
Quelle	In: Journal of Experimental Psychology: Learning, Memory, and Cognition, 47 (2021) 5, S.765-784 (20 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Aka, Ada)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0278-7393
DOI	10.1037/xlm0000964
Schlagwörter	Semantics; Recall (Psychology); Word Lists; Tests; Predictor Variables; Brain Hemisphere Functions; Diagnostic Tests; Correlation; Multivariate Analysis; Context Effect + Suchen Sie Ihr Suchwort? Semantik; Abberufung; Wortliste; Examination; Prüfung; Examen; Prädiktor; Diagnostic test; Diagnostischer Test; Korrelation; Multivariate Analyse
Abstract	For more than a half-century, lists of words have served as the memoranda of choice in studies of human memory. To better understand why some words and lists are easier to recall than others, we estimated multivariate models of word and list recall. In each of the 23 sessions, subjects (N = 98) studied and recalled the same set of 576 words, presented in 24 study-test lists. Fitting a statistical model to these data revealed positive effects of animacy, contextual diversity, valence, arousal, concreteness, and semantic structure on recall of individual words. We next asked whether a similar approach would allow us to account for list-level variability in recall performance. Here we hypothesized that semantically coherent lists would be most memorable. Consistent with this prediction, we found that semantic similarity, weighted by temporal distance, was a strong positive predictor of list-level recall. Additionally, we found significant effects of average contextual diversity, valence, animacy, and concreteness on list-level recall. Our findings extend previous models of item-level recall and show that aggregate measures of item recallability also account for variability in list-level performance. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01