Home > Research > Publications & Outputs > The psycholinguistic database for traditional C...

Research

Links

Text available via DOI:

Keywords

View graph of relations

The psycholinguistic database for traditional Chinese character naming

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

The psycholinguistic database for traditional Chinese character naming. / Chang, Ya-Ning; Hsu, Chun-Hsien; Tsai, Jie-Li et al.
In: Behavior Research Methods, Vol. 48, No. 1, 03.2016, p. 112-122.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Chang, Y-N, Hsu, C-H, Tsai, J-L, Chen, C-L & Lee, C-Y 2016, 'The psycholinguistic database for traditional Chinese character naming', Behavior Research Methods, vol. 48, no. 1, pp. 112-122. https://doi.org/10.3758/s13428-014-0559-7

APA

Chang, Y-N., Hsu, C-H., Tsai, J-L., Chen, C-L., & Lee, C-Y. (2016). The psycholinguistic database for traditional Chinese character naming. Behavior Research Methods, 48(1), 112-122. https://doi.org/10.3758/s13428-014-0559-7

Vancouver

Chang Y-N, Hsu C-H, Tsai J-L, Chen C-L, Lee C-Y. The psycholinguistic database for traditional Chinese character naming. Behavior Research Methods. 2016 Mar;48(1):112-122. Epub 2015 Jan 29. doi: 10.3758/s13428-014-0559-7

Author

Chang, Ya-Ning ; Hsu, Chun-Hsien ; Tsai, Jie-Li et al. / The psycholinguistic database for traditional Chinese character naming. In: Behavior Research Methods. 2016 ; Vol. 48, No. 1. pp. 112-122.

Bibtex

@article{cfe6a96f89a040d4993d9cb36ae7ff02,
title = "The psycholinguistic database for traditional Chinese character naming",
abstract = "In this study, we aimed to provide a large-scale set of psycholinguistic norms for 3,314 traditional Chinese characters, along with their naming reaction times (RTs), collected from 140 Chinese speakers. The lexical and semantic variables in the database include frequency, regularity, familiarity, consistency, number of strokes, homophone density, semantic ambiguity rating, phonetic combinability, semantic combinability, and the number of disyllabic compound words formed by a character. Multiple regression analyses were conducted to examine the predictive powers of these variables for the naming RTs. The results demonstrated that these variables could account for a significant portion of variance (55.8 %) in the naming RTs. An additional multiple regression analysis was conducted to demonstrate the effects of consistency and character frequency. Overall, the regression results were consistent with the findings of previous studies on Chinese character naming. This database should be useful for research into Chinese language processing, Chinese education, or cross-linguistic comparisons. The database can be accessed via an online inquiry system (http://ball.ling.sinica.edu.tw/namingdatabase/index.html).",
keywords = "Naming , Chinese character naming , Psycholinguistic norm, Chinese visual word recognition",
author = "Ya-Ning Chang and Chun-Hsien Hsu and Jie-Li Tsai and Chien-Liang Chen and Chia-Ying Lee",
year = "2016",
month = mar,
doi = "10.3758/s13428-014-0559-7",
language = "English",
volume = "48",
pages = "112--122",
journal = "Behavior Research Methods",
issn = "1554-351X",
publisher = "Springer New York LLC",
number = "1",

}

RIS

TY - JOUR

T1 - The psycholinguistic database for traditional Chinese character naming

AU - Chang, Ya-Ning

AU - Hsu, Chun-Hsien

AU - Tsai, Jie-Li

AU - Chen, Chien-Liang

AU - Lee, Chia-Ying

PY - 2016/3

Y1 - 2016/3

N2 - In this study, we aimed to provide a large-scale set of psycholinguistic norms for 3,314 traditional Chinese characters, along with their naming reaction times (RTs), collected from 140 Chinese speakers. The lexical and semantic variables in the database include frequency, regularity, familiarity, consistency, number of strokes, homophone density, semantic ambiguity rating, phonetic combinability, semantic combinability, and the number of disyllabic compound words formed by a character. Multiple regression analyses were conducted to examine the predictive powers of these variables for the naming RTs. The results demonstrated that these variables could account for a significant portion of variance (55.8 %) in the naming RTs. An additional multiple regression analysis was conducted to demonstrate the effects of consistency and character frequency. Overall, the regression results were consistent with the findings of previous studies on Chinese character naming. This database should be useful for research into Chinese language processing, Chinese education, or cross-linguistic comparisons. The database can be accessed via an online inquiry system (http://ball.ling.sinica.edu.tw/namingdatabase/index.html).

AB - In this study, we aimed to provide a large-scale set of psycholinguistic norms for 3,314 traditional Chinese characters, along with their naming reaction times (RTs), collected from 140 Chinese speakers. The lexical and semantic variables in the database include frequency, regularity, familiarity, consistency, number of strokes, homophone density, semantic ambiguity rating, phonetic combinability, semantic combinability, and the number of disyllabic compound words formed by a character. Multiple regression analyses were conducted to examine the predictive powers of these variables for the naming RTs. The results demonstrated that these variables could account for a significant portion of variance (55.8 %) in the naming RTs. An additional multiple regression analysis was conducted to demonstrate the effects of consistency and character frequency. Overall, the regression results were consistent with the findings of previous studies on Chinese character naming. This database should be useful for research into Chinese language processing, Chinese education, or cross-linguistic comparisons. The database can be accessed via an online inquiry system (http://ball.ling.sinica.edu.tw/namingdatabase/index.html).

KW - Naming

KW - Chinese character naming

KW - Psycholinguistic norm

KW - Chinese visual word recognition

U2 - 10.3758/s13428-014-0559-7

DO - 10.3758/s13428-014-0559-7

M3 - Journal article

VL - 48

SP - 112

EP - 122

JO - Behavior Research Methods

JF - Behavior Research Methods

SN - 1554-351X

IS - 1

ER -