Document Type

Journal Article

Department/Unit

Department of Education Studies

Language

English

Abstract

Here we report on MELD-SCH (MEgastudy of Lexical Decision in Simplified CHinese), a dataset that contains the lexical decision data of 1,020 one-character, 10,022 two-character, 949 three-character, and 587 four-character simplified Chinese words obtained from 504 native Chinese users. It also includes a number of word-level and character-level variables. Analyses showed that the reliability of the dataset is satisfactory, as indicated by split-half correlations and comparisons with other datasets. Item-based regression showed that both word-level and character-level variables contributed significantly to the reaction times and error rates of lexical decision. Moreover, we discovered a U-shape relationship between word-length and reaction times, which has not been reported in Chinese before. MELD-SCH can facilitate research in Chinese word recognition by providing high quality normative data and information of different linguistic variables. It also encourages researchers to extend their empirical findings, which are mostly based on one-character and two-character words, to words of different lengths.

Keywords

Megastudy, Chinese, Word recognition, Lexical decision

Publication Date

10-2018

Source Publication Title

Behavior Research Methods

Volume

50

Issue

5

Start Page

1763

End Page

1777

Publisher

Springer US

DOI

10.3758/s13428-017-0944-0

Link to Publisher's Edition

http://dx.doi.org/10.3758/s13428-017-0944-0

ISSN (print)

1554351X

ISSN (electronic)

15543528

Available for download on Friday, November 01, 2019

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