@article {34212,
	title = {A large-scale database of Chinese characters and words collected from elementary school textbooks},
	journal = {Behavior Research Methods},
	year = {2023},
	abstract = {Lexical databases are essential tools for studies on language processing and acquisition. Most previous Chinese lexical databases have focused on materials for adults, yet little is known about reading materials for children and how lexical properties from these materials affect children{\textquoteright}s reading comprehension. In the present study, we provided the first large database of 2999 Chinese characters and 2182 words collected from the official textbooks recently issued by the Ministry of Education (MOE) of the People{\textquoteright}s Republic of China for most elementary schools in Mainland China, as well as norms from both school-aged children and adults. The database incorporates key orthographic, phonological, and semantic factors from these lexical units. A word-naming task was used to investigate the effects of these factors in character and word processing in both adults and children. The results suggest that: (1) as the grade level increases, visual complexity of those characters and words increases whereas semantic richness and frequency decreases; (2) the effects of lexical predictors on processing both characters and words vary across children and adults; (3) the effect of age of acquisition shows different patterns on character and word-naming performance. The database is available on Open Science Framework (OSF) (https://osf.io/ynk8c/?view_only=5186bd68549340bd923e9b6531d2c820) for future studies on Chinese language development.},
	url = {https://link.springer.com/article/10.3758/s13428-023-02214-1$\#$citeas},
	author = {Man Zhang, Zeping Liu, Mona Roxana Botezatu, Qinpu Dang, Qiming Yuan, Jinzhuo Han, Li Liu \& Taomei Guo}
}
