一个用于测试美国和印度网络探测的双语数据集：以环境关注度测量为例。
A Bilingual Dataset for Testing Web Probing in the US and India: The Example of Measures of Environmental Concern.
作者信息
Arts Ingrid, van de Schoot Rens, Meitinger Katharina
机构信息
Utrecht University, NL.
出版信息
J Open Psychol Data. 2024 Dec 6;12:13. doi: 10.5334/jopd.113. eCollection 2024.
To assess the feasibility of web probing in India, we conducted a study with different probing questions and a survey experiment in India and the US on the topic of environmental concern. The survey was available in English in both countries and in Hindi in India. The data was collected from December 2022 until May 2023 using the crowdsourcing platform Amazon MTurk. This resulted in 512 respondents from the US and 740 from India (English: 387 respondents, Hindi: 353 respondents). The data provides crucial insights into the performance of web probing outside the Western context and the comparability of measures of environmental concern.
为评估在印度进行网络探测的可行性，我们针对不同的探测问题开展了一项研究，并在印度和美国就环境关切主题进行了一项调查实验。该调查在两国均提供英文版本，在印度还提供印地语版本。数据于2022年12月至2023年5月期间通过众包平台亚马逊土耳其机器人收集。结果从美国获得了512名受访者，从印度获得了740名受访者（英文：387名受访者，印地语：353名受访者）。该数据为西方背景之外的网络探测表现以及环境关切衡量指标的可比性提供了关键见解。
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