User-focused threat identification for anonymised microdata (2019)
Journal Article
Ritchie, F., Hafner, H., & Lenz, R. (2019). User-focused threat identification for anonymised microdata. Statistical Journal of the IAOS, 35(4), 703-713. https://doi.org/10.3233/SJI-190506

© 2019 - IOS Press and the authors. When producing anonymised microdata for research, national statistics institutes (NSIs) identify a number of 'risk scenarios' of how intruders might seek to attack a confidential dataset. This approach has been cri... Read More about User-focused threat identification for anonymised microdata.

Collection of taxonomically classified mathematical common student errors in e assessments - (CSE Book)
Report
Sikurajapathi, I., Henderson, K., & Gwynllyw, R. Collection of taxonomically classified mathematical common student errors in e assessments - (CSE Book). UWE Bristol

This book presents Common Student Errors (CSEs) that have been made by first year students taking Engineering Mathematics e-examinations at the University of the West of England, Bristol (UWE Bristol). The CSEs presented in this document were collec... Read More about Collection of taxonomically classified mathematical common student errors in e assessments - (CSE Book).