题为 "应用贝叶斯方法探讨音节频率对手写图片命名的影响 "的论文中的数据

C. Perret, Clara Solier
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引用次数: 0

摘要

这里提供的数据来自 Perret 和 Solier(2022 年)的研究。30 名参与者手写了 150 幅黑白图画的标签。实验使用 DmDx 程序进行。反应时间和制作错误是两个行为报告测量指标。DmDx 脚本和数据可在 OSF 平台上获取(DOI: https://doi.org/10.17605/OSF.IO/GAZF3)。这些数据对于探索新假设的预试验以及方法论要素(如样本大小估计、贝叶斯分析的先验分布估计)都很有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data from the Paper Entitled “Application of a Bayesian Approach for Exploring the Impact of Syllable Frequency in Handwritten Picture Naming”
The data presented here comes from the Perret and Solier (2022) study. 30 participants handwrote labels for 150 black-and-white drawings. The experiment was carried out using the DmDx program. Response times and production errors were the two behavioral reported measures. DmDx scripts and data are available on the OSF platform (DOI: https://doi.org/10.17605/OSF.IO/GAZF3). These data should be useful for pre-testing to explore new hypotheses, as well as for methodological elements (e.g., sample size estimation, estimation of a priori distributions for Bayesian analyses).
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
13 weeks
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