Dataset for: Mouse Chase: Detecting Careless and Unmotivated Responders Using Cursor Movements in Web-Based Surveys.

Datasets for: Pokropek, A., Żółtak, T., & Muszyński, M. (2023). Mouse chase: Detecting careless and unmotivated responders using cursor movements in web-based surveys. European Journal of Psychological Assessment. Advance online publication. https://doi.org/10.1027/1015-5759/a000758 These datasets include: C/IER indices and cursor moves indices for two different scales (survey screens) with the manipulation of the test instruction and scale items response scale length and format. Web surveys offer new research possibilities, but they also have specific problems. One of them is a higher risk of careless, inattentive, or otherwise invalid responses. Using paradata, which are data collected apart from reactionary data, is one of the potential tools that can help to screen for problematic responses in web-based surveys. One of the most promising forms of paradata is the movement, or trajectory, of the cursor in making a response. This study constructed indicators of such data presented correlations between them and provided an interpretation and validation of these components by correlating them with previously known indices of careless responding. Finally, it tested cursor movement indices during different motivational states induced by experimental instructions. Cursor movement indices proved to be moderately related to classical careless responding indices but some of them (horizontal distance traveled as well speed and acceleration on vertical dimension) were as responsive to manipulation conditions as classical indices. The potential role of cursor movement indices in survey practice and future studies in this area are discussed. unknown

本数据集关联以下研究：Pokropek A、Żółtak T与Muszyński M（2023）发表于《欧洲心理评估期刊》(European Journal of Psychological Assessment)的在线预印成果《小鼠追踪：基于网页调查的光标运动识别粗心与无动机作答者》，DOI链接：https://doi.org/10.1027/1015-5759/a000758。
本数据集包含两类不同量表（对应不同调研页面）的C/IER指标与光标运动指标，涵盖测试指导语操纵、量表题项作答量表的长度与格式操纵场景。

网页调研为学术研究带来了全新的可能性，但同时也存在特定的局限：其中之一便是粗心作答、注意力不集中或其他无效作答的发生风险更高。
利用副数据（paradata）——即脱离作答反应数据单独采集的数据——是筛选网页调研中无效作答的潜在工具之一，而作答过程中的光标运动轨迹则是最具应用前景的副数据形式之一。
本研究构建了基于此类数据的指标体系，分析了指标间的相关性，并通过将其与已有的经典粗心作答指标进行关联分析，完成了对这些指标的阐释与验证。此外，研究还针对实验指导语诱导出的不同动机状态下的光标运动指标开展了测试。
结果显示，光标运动指标与经典粗心作答指标存在中等程度的相关性，其中部分指标（如水平移动距离、垂直维度上的运动速度与加速度）对实验操纵条件的响应灵敏度与经典指标相当。
本研究最后讨论了光标运动指标在调研实践中的潜在应用价值，以及该领域未来的研究方向。未知