Zhong, J., Huang, W., Kang, K., Duñabeitia, J. A., Pliatsikas, C.
ORCID: https://orcid.org/0000-0001-7093-1773 and Zhang, H.
(2024)
Standardizing norms for 1286 colored pictures in Cantonese.
Behavior Research Methods, 56.
pp. 6318-6331.
ISSN 1554-351X
doi: 10.3758/s13428-024-02362-y
Abstract/Summary
This study established psycholinguistic norms in Cantonese for a set of 1286 colored pictures sourced from several picture databases, including 750 colored line drawings from MultiPic (Duñabeitia et al., 2018) and 536 photographs selected for McRae et al. (2005) concepts. The pictures have undergone rigorous normalization processes. We provided picture characteristics such as name and concept agreement, familiarity, visual complexity, as well as the frequency of modal responses. Through correlational analyses, we have observed strong interrelationships among these variables. We also compared the current Cantonese norming to other languages and demonstrated similarity and variations among different languages. Additionally, we embraced the multilingual diversity within the current sample, and found that higher Cantonese proficiency but lower non-native language proficiency was associated with better spoken picture naming. Last but not least, we validated the predictivity power of normed variables calculated from typing responses to spoken picture naming, and the consistency between typing and spoken responses. The present norming provides a timely and valuable alternative for researchers in the field of psycholinguistics, especially those studying Cantonese production and lexical retrieval. All raw data, analysis scripts, and final norming results are available online as psycholinguistic norms for Cantonese in the following link at Open Science Framework, https://osf.io/dz9j6/?view_only=a452d8a56c92430b9dedf21ac26b1bc1.
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| Item Type | Article |
| URI | https://reading-pure-test.eprints-hosting.org/id/eprint/115128 |
| Identification Number/DOI | 10.3758/s13428-024-02362-y |
| Refereed | Yes |
| Divisions | Central Services Life Sciences > School of Psychology and Clinical Language Sciences > Department of Clinical Language Sciences |
| Download/View statistics | View download statistics for this item |
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