The list length and the list strength effects in recognition memory

Strengthening items in a list increases hit rates and decreases false alarm rates in recognition memory, known as the strength based mirror effect (SBME). The SBME has also been observed when study lists were mixed in strength but the test list consisted of only strong targets or only weak targets. However, the size of the SBME observed in the mixed list paradigm depends on the task employed to strengthen the items (e.g., spaced repetitions or levels of processing) and the length of the study list. The current study explores the role of the strengthening task and list length on the SBME observed in a mixed list paradigm. Participants studied a mixed list in which items were strengthened either via spaced repetitions or a levels of processing manipulation in varying list length conditions. The theoretical implications of the moderating effect of list length on the SBME will be discussed.
Annual Meeting of the Psychonomic Society, 19 - 21 Kasım 2015


Retrieval dynamics of the strength based mirror effect in recognition memory
Kılıç Özhan, Aslı (2014-10-01)
The strength based mirror effect (SBME) refers to an increase in hit rates (HR) and a decrease in false alarm rates (FAR) for the test lists that follow a strongly encoded study list. Earlier investigation of accuracy and reaction time distributions by fitting the diffusion model indicated a mirror effect in the drift rate parameter, which was interpreted as an indication of more conservative responses due to a shift in the drift criterion. Additionally, the starting point for the evidence accumulation was ...
Predictions of REM Model on the Null List-Strength Effect in Source Recognition
Aytaç, Sinem; Kılıç Özhan, Aslı; Criss, Amy H. (2020-7-27)
The strength-based mirror effect in recognition memory is the finding observed as an increase in hits and a decrease in false alarms after an additional study. When a set of items is strengthened in a list in which another set is not, recognition memory performance of weak items is not negatively affected by being studied along with strong items. This finding is defined as the null list-strength effect and both of these findings are explained by the differentiation mechanism. Currently the study conducted b...
The role of defects on the transition from saturable absorption to nonlinear absorption of Bi12GeO20 single crystal under increasing laser excitation
PEPE, YASEMİN; Isik, Mehmet; KARATAY, AHMET; YILDIZ, ELİF; Hasanlı, Nızamı; ELMALI, AYHAN (2022-11-01)
© 2022 Elsevier B.V.This work reports defect and input intensity dependent nonlinear optical behaviors of Bi12GeO20 (BGO) single crystal. Open aperture (OA) Z-scan experiments were performed with 532 nm excitation wavelength under 4 ns and 100 fs pulsed laser irradiation. Obtained data were fitted with a theoretical model considering one-photon, two-photon and free carrier absorption contributions to nonlinear absorption due to longer lifetime of localized defect states than that of used laser pulse duratio...
The Hubness Phenomenon in High-Dimensional Spaces
Mani, Priya; Vazquez, Marilyn; Metcalf-Burton, Jessica Ruth; Domeniconi, Carlotta; Fairbanks, Hillary; Bal Bozkurt, Gülce; Beer, Elizabeth; Tarı, Zehra Sibel (Springer, 2019)
High-dimensional data analysis is often negatively affected by the curse of dimensionality. In high-dimensional spaces, data becomes extremely sparse and distances between points become indistinguishable. As a consequence, reliable estimations of density, or meaningful distance-based similarity measures, cannot be obtained. This issue is particularly prevalent in clustering, which is commonly employed in exploratory data analysis. Another challenge for clustering high-dimensional data is that data often exi...
The effect of data set characteristics on the choice of clustering validity index type
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Clustering techniques are widely used to give insight about the similarities/dissimilarities between data set items. Most algorithms require the user to tune parameters such as number of clusters or threshold for cut-off point in a dendrogram. Such parameters also affect the clustering quality. In a good quality cluster, the intra-cluster similarity should be high, whereas the inter-cluster similarity should be low. To determine the optimal cluster number, several cluster validity methods have been proposed...
Citation Formats
A. Kılıç Özhan, “The list length and the list strength effects in recognition memory,” presented at the Annual Meeting of the Psychonomic Society, 19 - 21 Kasım 2015, 2015, Accessed: 00, 2021. [Online]. Available: