Standardizing norms for 1286 colored pictures in Cantonese.

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
ACS Applied Energy Materials Pub Date : 2024-09-01 Epub Date: 2024-02-20 DOI:10.3758/s13428-024-02362-y
Jing Zhong, Weike Huang, Keyi Kang, Jon Andoni Duñabeitia, Christos Pliatsikas, Haoyun Zhang
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引用次数: 0

Abstract

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 underwent rigorous normalization processes. We provided picture characteristics including name and concept agreement, familiarity, visual complexity, and frequency of modal responses. Through correlational analyses, we 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 were associated with better spoken picture naming. Last but not least, we validated the predictive power of normed variables calculated from typed responses to spoken picture naming, and the consistency between typed 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 the Open Science Framework: https://osf.io/dz9j6/?view_only=a452d8a56c92430b9dedf21ac26b1bc1 .

1286 幅粤语彩色图片的标准化规范。
本研究为一组来自多个图片数据库的 1286 幅彩色图片建立了粤语心理语言学规范,其中包括来自 MultiPic(Duñabeitia 等人,2018 年)的 750 幅彩色线条图和根据 McRae 等人(2005 年)的概念选取的 536 幅照片。这些图片都经过了严格的规范化处理。我们提供的图片特征包括名称和概念的一致性、熟悉度、视觉复杂性和模态反应频率。通过相关分析,我们观察到这些变量之间存在密切的相互关系。我们还将目前的粤语常模与其他语言进行了比较,证明了不同语言之间的相似性和差异性。此外,我们还接受了当前样本中的多语言多样性,并发现较高的粤语水平和较低的非母语水平与较好的图片命名口语有关。最后但并非最不重要的一点是,我们验证了根据打字回答计算出的常模变量对口语图片命名的预测能力,以及打字回答和口语回答之间的一致性。本规范为心理语言学领域的研究人员,尤其是研究粤语生产和词汇检索的研究人员提供了一个及时而有价值的选择。所有原始数据、分析脚本和最终的规范化结果均可作为粤语心理语言学规范在以下链接的开放科学框架中在线获取:https://osf.io/dz9j6/?view_only=a452d8a56c92430b9dedf21ac26b1bc1 。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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