five

Laury de Jonge - PhD project data for study 1

收藏
DataCite Commons2025-07-02 更新2025-04-09 收录
下载链接:
https://dataverse.nl/citation?persistentId=doi:10.34894/BZ6TAP
下载链接
链接失效反馈
官方服务:
资源简介:
Validity in Workplace-Based Assessment (WBA) mainly depends on how stakeholders (e.g. clinical supervisors and learners) use the assessments-rather than on the intrinsic qualities of instruments and methods. Current research on assessment in clinical contexts seems to imply that variable behaviours during performance assessment of both assessors and learners may well reflect their respective beliefs and perspectives towards WBA. We therefore performed a Q methodological study to explore perspectives underlying stakeholders' behaviours in WBA in a postgraduate medical training program. Five different perspectives on performance assessment were extracted: Agency, Mutuality, Objectivity, Adaptivity and Accountability. These perspectives reflect both differences and similarities in stakeholder perceptions and preferences regarding the utility of WBA. In comparing and contrasting the various perspectives, we identified two key areas of disagreement, specifically 'the locus of regulation of learning' (i.e., self-regulated versus externally regulated learning) and 'the extent to which assessment should be standardised' (i.e., tailored versus standardised assessment). Differing perspectives may variously affect stakeholders' acceptance, use-and, consequently, the effectiveness-of assessment programmes. The file dataqstudyLPJWMdeJonge.docx contains the raw output of our data as composed by the PQmethod programme (http://schmolck.org/qmethod/). Transcripts per interview are stored in separate word files, together with an atlas-ti datafile containing the qualitative analysis. The file dataqstudyLPJWMdeJonge.docx contains the raw output of our data as composed by the PQmethod programme (http://schmolck.org/qmethod/). Transcripts per interview are stored in separate word files, together with an atlas-ti datafile containing the qualitative analysis.
提供机构:
DataverseNL
创建时间:
2021-08-16
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作