Lists of semantically related words are better recalled than lists of unrelated words on immediate serial recall tests. Prominent explanations for this beneficial effect of semantic relatedness, such as the item/order hypothesis, invoke differential contributions of item and order information and predict that on tests that de-emphasize item information, the effect of semantic relatedness will be abolished. The prediction is hard to assess because previous studies using reconstruction of order tests show conflicting and equivocal results. Three experiments are reported that were designed to minimize problems associated with extant studies and that will allow reassessment of the prediction that semantic relatedness will have no effect on reconstruction of order tests. The experiments replicated the usual beneficial effect of semantic relatedness on memory when the test was serial recall but found no effect when the test was reconstruction of order. These results were observed regardless of whether semantic relatedness was defined by category membership (Experiment 1), association (Experiment 2), or meaning (Experiment 3). These results clarify earlier results in the literature and confirm a strong prediction of the item/order hypothesis.
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http://dx.doi.org/10.1027/1618-3169/a000557 | DOI Listing |
J Exp Psychol Learn Mem Cogn
December 2024
Basque Center on Cognition, Brain and Language.
The present study uses event-related potentials (ERPs) to investigate lexicosemantic prediction in native speakers (L1) of English and advanced second language (L2) learners of English with Swedish as their L1. The main goal of the study was to examine whether learners recruit predictive mechanisms to the same extent as L1 speakers when a change in the linguistic environment renders prediction a useful strategy to pursue. The study, which uses a relatedness proportion paradigm adapted from Lau et al.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Psychology Department, Middle Tennessee State University, Murfreesboro, TN 37132, USA.
Consumer-grade EEG devices, such as the InteraXon Muse 2 headband, present a promising opportunity to enhance the accessibility and inclusivity of neuroscience research. However, their effectiveness in capturing language-related ERP components, such as the N400, remains underexplored. This study thus aimed to investigate the feasibility of using the Muse 2 to measure the N400 effect in a semantic relatedness judgment task.
View Article and Find Full Text PDFJ Neuropsychol
December 2024
Center for Language and Cognition Groningen (CLCG), University of Groningen, Groningen, The Netherlands.
Understanding lexico-semantic processing is crucial for dissecting the complexities of language and its disorders. Relatedness-based measures, or those which investigate the degree of relatedness in meaning between either task items or items produced by participants, offer the opportunity to harness novel computational and analytical techniques from cognitive network science. Recognizing the need to deepen our understanding of lexico-semantic deficits through diverse experimental and analytical approaches, this review explores the use of such measures in research into language disorders.
View Article and Find Full Text PDFElife
December 2024
Department of Psychology and Child Development, California Polytechnic State University, San Luis Obispo, United States.
Over the past century of memory research, the interplay between initial and later-learned information in determining long-term memory retention has been of central interest. A likely factor for determining whether initial and later memories interfere with or strengthen each other is semantic relatedness. Relatedness has been shown to boost initial memory and increase the interdependence between earlier and more recent experiences in memory.
View Article and Find Full Text PDFJ Psycholinguist Res
December 2024
School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC), No.4, Section 2, North Jianshe Road, Chengdu, 610054, Sichuan, People's Republic of China.
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