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Moral Uncanny Valley Revisited

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DataCite Commons2025-06-01 更新2024-08-18 收录
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<br><br>Stripped down STATA version of the data set for Study 1 and some syntax for its analysis. Study 2 was collected in conjunction with other experiments prior to GDPR implementation and will be shared at a later date once it has been inspected for potentially identifying information that needs to be removed.<br>Almost all health related information and background questions and related identifying information has been removed from the shared data. Prolific IDs have also been removed -- for this reason there are also some test responses included inte data-set, that are filtred out by using the attention checks. Geolocation information was never stored.<br>Potential unreported exploratory variables will still be used for potential future publications and are therefore not published.<br>Variables reported in the manuscript are provided for replicating the anylsis.<br>Simplified analysis script has been provided, that should correspond with the manuscript with 99% accuracy.<br>Any potential errors and mismatch between the information available here and between the online manuscript are due to human error stemming from lack of mental resources, exhaustion, dyslexia or time or some combination of all of these.

本公开内容包含适用于研究1的简化版STATA格式数据集,以及部分用于其分析的语法脚本。研究2的数据采集于《通用数据保护条例(GDPR)》实施前,并与其他多项实验同步开展,待完成涉及需移除的可识别信息审查后,将于后续公开。 本次公开数据集已移除几乎所有健康相关信息、背景问卷内容及关联可识别信息,同时删除了Prolific平台用户ID。正因如此,数据集中包含了部分测试作答样本,可通过注意力检验(attention checks)完成筛选剔除。本数据集从未存储地理位置信息。 部分未在文稿中报告的探索性变量,将留待未来潜在的学术发表使用,因此未随本数据集公开。 本文手稿中报告的变量已全部提供,用于复现分析流程。 本次公开的简化版分析脚本,与手稿中的分析逻辑匹配度可达99%。 本公开数据集内容与在线手稿之间可能存在的误差或信息不一致,均源于人为失误,具体诱因包括精力不足、疲劳、读写困难、时间紧迫,或上述因素共同作用。

提供机构:
figshare
创建时间:
2023-10-26
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