TY - JOUR
T1 - Recognition memory for 2,578 monosyllabic words
AU - Cortese, Michael J.
AU - Khanna, Maya M.
AU - Hacker, Sarah
N1 - Funding Information:
Address correspondence to: M. J. Cortese, Department of Psychology, University of Nebraska at Omaha, 6001 Dodge Street Omaha NE 68182, USA. E-mail: mcortese@unomaha.edu This work was partially supported by Kentucky NSF EPSCoR Grant EPS 0132295.
Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - In two studies, participants studied 30 lists of 50 words and were tested on 30 lists of 100 words. Item-level multiple regression analyses were conducted on hits, false alarms, hits minus false alarms, d′, and C. The predictor variables were objective frequency, subjective frequency, imageability, orthographic similarity, phonological similarity, phonological-to-orthographic N (PON), age of acquisition (AoA), and word length. The regression equations accounted for 45.9% of the variance in hit rates, 14.9% of the variance in false alarm rates, and 29.2% of the variance in hits minus false alarms. Other noteworthy results were that: (a) hit rates positively correlated with false alarms, (b) objective frequency negatively correlated with both hit rates and false alarm rates, (c) AoA positively correlated with hit rates and negatively correlated with false alarm rates, (d) length negatively correlated with hit rates and positively correlated with false alarm rates, (e) orthographic uniqueness was positively correlated with hit rates and negatively correlated with false alarms, (f) PON positively correlated with false alarm rates, (g) imageability produced the typical mirror pattern, and (h) imageability and length were the strongest predictors of performance. Results were largely compatible with predictions made by single- and dual-process theories of recognition memory.
AB - In two studies, participants studied 30 lists of 50 words and were tested on 30 lists of 100 words. Item-level multiple regression analyses were conducted on hits, false alarms, hits minus false alarms, d′, and C. The predictor variables were objective frequency, subjective frequency, imageability, orthographic similarity, phonological similarity, phonological-to-orthographic N (PON), age of acquisition (AoA), and word length. The regression equations accounted for 45.9% of the variance in hit rates, 14.9% of the variance in false alarm rates, and 29.2% of the variance in hits minus false alarms. Other noteworthy results were that: (a) hit rates positively correlated with false alarms, (b) objective frequency negatively correlated with both hit rates and false alarm rates, (c) AoA positively correlated with hit rates and negatively correlated with false alarm rates, (d) length negatively correlated with hit rates and positively correlated with false alarm rates, (e) orthographic uniqueness was positively correlated with hit rates and negatively correlated with false alarms, (f) PON positively correlated with false alarm rates, (g) imageability produced the typical mirror pattern, and (h) imageability and length were the strongest predictors of performance. Results were largely compatible with predictions made by single- and dual-process theories of recognition memory.
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U2 - 10.1080/09658211.2010.493892
DO - 10.1080/09658211.2010.493892
M3 - Article
C2 - 20677075
AN - SCOPUS:77955634409
VL - 18
SP - 595
EP - 609
JO - Memory
JF - Memory
SN - 0965-8211
IS - 6
ER -