Purpose: To describe the word-learning problems characteristic of developmental language impairment (LI).
Method: College students with LI (n = 39) or normal language development (ND, n = 40) attempted to learn novel word forms. Training for half of the words was meaning-focused; training for the other half was form-focused. Form recognition and stem completion tasks administered immediately after training tapped encoding of the lexical configuration and a repetition of the stem completion task one week later tapped consolidation. A visual world paradigm tapped lexical engagement.
Result: At the immediate post-test, the LI group was poorer at recognition and completion of word forms than their ND peers, suggesting a deficit in encoding the lexical configuration. However, the gap between the LI and ND groups in stem completion did not grow over the week, suggesting intact consolidation. Form-focused training yielded better performance than meaning-focused training at immediate- and one week tests. For both groups, newly trained words slowed the recognition of familiar English words, revealing lexical engagement.
Conclusion: The encoding of word-form configurations is challenging for some, but not all, college students with LI. Training that encourages a focus on the form may be a useful part of vocabulary intervention for those affected.
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http://dx.doi.org/10.3109/17549507.2016.1159337 | DOI Listing |
Front Child Adolesc Psychiatry
January 2024
Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Introduction: The role of the arts in health is increasingly recognised, with participatory arts-based approaches facilitating public engagement. However, little is known about men's involvement in art-based participatory research. We aimed to investigate how men who are fathers may be engaged creatively to explore experiential aspects of fathering and parenthood.
View Article and Find Full Text PDFFront Psychol
January 2025
School of Marxism, Jiangnan University, Wuxi, China.
Based on the General Aggression Model (GAM), this study explores the relationship between social media fatigue and online trolling behavior among Chinese college students, focusing on the mediating roles of relative deprivation and hostile attribution bias as key affective and cognitive mechanisms proposed by GAM. Using a cross-sectional survey design, data were collected from 349 college students from Guangdong via an online questionnaire. Key variables, including social media fatigue, relative deprivation, and hostile attribution bias, were measured using validated scales: the SNS Fatigue Questionnaire, the Personal Relative Deprivation Scale, the Word Sentence Association Paradigm for Hostility, and the revised Global Assessment of Internet Trolling.
View Article and Find Full Text PDFOpen Mind (Camb)
January 2025
Department of Computer Science, University of Toronto, Toronto, Canada.
The lexicon is an evolving symbolic system that expresses an unbounded set of emerging meanings with a limited vocabulary. As a result, words often extend to new meanings. Decades of research have suggested that word meaning extension is non-arbitrary, and recent work formalizes this process as cognitive models of semantic chaining whereby emerging meanings link to existing ones that are semantically close.
View Article and Find Full Text PDFPsychol Aging
January 2025
Department of Psychology, National Taiwan University.
The Socioemotional Selectivity Theory (SST) posits that older and younger adults have different life goals due to differences in perceived remaining lifetime. Younger adults focus more on future-oriented knowledge exploration and forming new friendships, while older adults prioritize present-focused emotional regulation and maintaining close relationships. While previous research has found these age differences manifest in autobiographical textual expressions, their presence in verbal communication remains unexplored.
View Article and Find Full Text PDFJB JS Open Access
January 2025
Department of Anesthesiology, University of California, Irvine, Medical Center, Orange, California.
Background: This study assesses the effectiveness of large language models (LLMs) in simplifying complex language within orthopaedic patient education materials (PEMs) and identifies predictive factors for successful text transformation.
Methods: We transformed 48 orthopaedic PEMs using GPT-4, GPT-3.5, Claude 2, and Llama 2.
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