Word naming and psycholinguistic norms: Chinese. Export

@article{citeulike:2845709, abstract = {In this article, we present normative data for 2,423 Chinese single-character words. For each word, we report values for the following 15 variables: word frequency, cumulative frequency, homophone density, phonological frequency, age of learning, age of acquisition, number of word formations, number of meanings, number of components, number of strokes, familiarity, concreteness, imageability, regularity, and initial phoneme. To validate the norms, we collected word-naming latencies. Factor analysis and multiple regression analysis show that naming latencies of Chinese single-character words are predicted by frequency, semantics, visual features, and consistency, but not by phonology. These analyses show distinct patterns in word naming between Chinese and alphabetic languages and demonstrate the utility of normative data in the study of nonalphabetic orthographic processing.}, address = {State Key Laboratory for Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. psykylin@gmail.com}, author = {Liu, Y. and Shu, H. and Li, P.}, citeulike-article-id = {2845709}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/17695344}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=17695344}, issn = {1554-351X}, journal = {Behavior research methods}, keywords = {age-of-acquisition, chinese, naming, regression, word}, month = {May}, number = {2}, pages = {192--198}, posted-at = {2008-05-29 19:45:25}, priority = {2}, title = {Word naming and psycholinguistic norms: Chinese.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/17695344}, volume = {39}, year = {2007} }

TY - JOUR ID - citeulike:2845709 L3 - citeulike-article-id:2845709 N2 - In this article, we present normative data for 2,423 Chinese single-character words. For each word, we report values for the following 15 variables: word frequency, cumulative frequency, homophone density, phonological frequency, age of learning, age of acquisition, number of word formations, number of meanings, number of components, number of strokes, familiarity, concreteness, imageability, regularity, and initial phoneme. To validate the norms, we collected word-naming latencies. Factor analysis and multiple regression analysis show that naming latencies of Chinese single-character words are predicted by frequency, semantics, visual features, and consistency, but not by phonology. These analyses show distinct patterns in word naming between Chinese and alphabetic languages and demonstrate the utility of normative data in the study of nonalphabetic orthographic processing. IS - 2 JF - Behavior research methods SN - 1554-351X AD - State Key Laboratory for Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. psykylin@gmail.com EP - 198 TI - Word naming and psycholinguistic norms: Chinese. VL - 39 SP - 192 KW - age-of-acquisition KW - chinese KW - naming KW - regression KW - word AU - Liu, Y AU - Shu, H AU - Li, P PY - 2007/05// UR - http://view.ncbi.nlm.nih.gov/pubmed/17695344 ER -