Evading open science: The black box of student data collection

Author:

Ludwig TobiasORCID,Altenmüller Marlene SophieORCID,Schramm Leonhard Falk FlorentinORCID,Twardawski MathiasORCID

Abstract

While Open Science has arguably initiated positive changes at some stages of the research process (e.g., increasing transparency through preregistration), problematic behaviors during data collection are still almost impossible to detect and pose a great risk to the validity and integrity of psychological research—especially, when researchers use data collected by others (e.g., students). Exploring students’ and supervisors’ perspectives, the present registered report enlightens this “black box” of student data collection, focusing on questionable research practices and research misconduct (QRP/M). The majority of students did not report having engaged in any problematic behaviors during data collection, but some QRP/M—ranging from somewhat questionable to highly fraudulent—seem quite common (e.g., telling participants the hypothesis beforehand, participating in one’s own survey). We provide an overview of students’ reported and supervisors’ suspected data collection QRP/M, explore potential drivers for these behaviors based on the fraud triangle model (including pressures, opportunities, and rationalizations), and report how students and supervisors perceive the eligibility of student data for further uses (e.g., scientific publications). Moreover, we explore the role of the student-supervisor relationship (e.g., communication and expectations) and Open Science practices in student projects. In summary, our findings suggest the potential scientific value of data from student projects. Fostering transparent communication regarding expectations, experiences, and intentions between supervisors and students might further contribute to strengthening this prospect.

Publisher

Leibniz Institute for Psychology (ZPID)

Subject

Social Psychology,Applied Psychology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3