Cluster Analysis of Assessment in Anatomy and Physiology for Health Science Undergraduates
aut.relation.endpage | 109 | |
aut.relation.issue | 1 | en_NZ |
aut.relation.pages | 7 | |
aut.relation.startpage | 102 | |
aut.relation.volume | 28 | en_NZ |
aut.researcher | Brown, Stephen | |
dc.contributor.author | Brown, S | en_NZ |
dc.contributor.author | White, S | en_NZ |
dc.contributor.author | Power, N | en_NZ |
dc.date.accessioned | 2016-07-18T04:10:05Z | |
dc.date.available | 2016-07-18T04:10:05Z | |
dc.date.copyright | 2016-07-01 | en_NZ |
dc.date.issued | 2016-07-01 | en_NZ |
dc.description.abstract | Academic content common to health science programs is often taught to a mixed group of students; however, content assessment may be consistent for each discipline. This study used a retrospective cluster analysis on such a group, first to identify high and low achieving students, and second, to determine the distribution of students within clusters based on their chosen program of study. Using a two-step cluster analysis based on five summative assessment scores for 773 undergraduate students, three distinct groups of students were identified: these are described as High Achievers, Standard Achievers, and Low Achievers. High Achievers scored higher in all five assessments compared with Standard Achievers and Low Achievers (all P < 0.01). Also, Standard Achievers scored higher than Low Achievers in all assessments. Membership of the High Achievers cluster comprised 15% Midwives, 20% Nurses, 10% Occupational Therapists, 11% Paramedics, 24% Physiotherapists, and 21% Standard Pathway students. This novel approach provides an opportunity for quantitative reflection on assessment in a large group of students with diverse career aspirations. It may be used to distinguish levels of achievement relative to peers within a group and potentially identify students within a program of study in need of academic assistance. | |
dc.identifier.citation | International journal of teaching and learning in higher education, vol.28(1), pp.102 - 109 (7) | en_NZ |
dc.identifier.issn | 1812-9129 | en_NZ |
dc.identifier.uri | https://hdl.handle.net/10292/9966 | |
dc.publisher | International Journal of Teaching and Learning in Higher Education (IJTLHE) | |
dc.relation.uri | http://www.isetl.org/ijtlhe/abstract.cfm?mid=2114 | |
dc.rights | All papers in IJTLHE are published under a Creative Commons Attribution-NoDerivs 3.0 Unported License. | |
dc.rights.accessrights | OpenAccess | en_NZ |
dc.title | Cluster Analysis of Assessment in Anatomy and Physiology for Health Science Undergraduates | en_NZ |
dc.type | Journal Article | |
pubs.elements-id | 207214 | |
pubs.organisational-data | /AUT | |
pubs.organisational-data | /AUT/Health & Environmental Science | |
pubs.organisational-data | /AUT/Health & Environmental Science/Interprofessional Health |