C
Chi-Shing Tse
Researcher at The Chinese University of Hong Kong
Publications - 74
Citations - 1754
Chi-Shing Tse is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Lexical decision task & Priming (psychology). The author has an hindex of 21, co-authored 70 publications receiving 1532 citations. Previous affiliations of Chi-Shing Tse include Albany State University & State University of New York System.
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Effects of healthy aging and early stage dementia of the Alzheimer's type on components of response time distributions in three attention tasks.
TL;DR: A critical role of attentional control systems in discriminating healthy aging from early stage DAT is suggested and the utility of RT distribution analyses to better specify the nature of such change is suggested.
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The Utility of Intraindividual Variability in Selective Attention Tasks as an Early Marker for Alzheimer's Disease
TL;DR: Results indicated that a measure of intraindividual variability, coefficient of variation (CoV; SD/M), increased across age and early stage DAT.
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Predicting conversion to dementia of the Alzheimer’s type in a healthy control sample: The power of errors in stroop color naming.
David A. Balota,Chi-Shing Tse,Keith A. Hutchison,Daniel H. Spieler,Janet M. Duchek,John C. Morris +5 more
TL;DR: Notably in the psychometric measures, there was little evidence of a difference in declarative memory between converters and nonconverters, but there was some evidence of changes in visual-spatial processing.
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The semantic priming project
Keith A. Hutchison,David A. Balota,James H. Neely,Michael J. Cortese,Emily R. Cohen-Shikora,Chi-Shing Tse,Melvin J. Yap,Jesse J. Bengson,Dale Niemeyer,Erin Michelle Buchanan +9 more
TL;DR: These data represent the largest behavioral database on semantic priming and are available to researchers to aid in selecting stimuli, testing theories, and reducing potential confounds in their studies.
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On the additive effects of stimulus quality and word frequency in lexical decision: evidence for opposing interactive influences revealed by RT distributional analyses.
TL;DR: The joint effects of stimulus quality and word frequency in lexical decision were examined as a function of nonword type and opposing interactive effects in the underlying distribution were observed, producing apparent additivity in means.