Cluster Analysis of Assessment in Anatomy and Physiology for Health Science Undergraduates

aut.relation.endpage109
aut.relation.issue1en_NZ
aut.relation.pages7
aut.relation.startpage102
aut.relation.volume28en_NZ
aut.researcherBrown, Stephen
dc.contributor.authorBrown, Sen_NZ
dc.contributor.authorWhite, Sen_NZ
dc.contributor.authorPower, Nen_NZ
dc.date.accessioned2016-07-18T04:10:05Z
dc.date.available2016-07-18T04:10:05Z
dc.date.copyright2016-07-01en_NZ
dc.date.issued2016-07-01en_NZ
dc.description.abstractAcademic 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.citationInternational journal of teaching and learning in higher education, vol.28(1), pp.102 - 109 (7)en_NZ
dc.identifier.issn1812-9129en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/9966
dc.publisherInternational Journal of Teaching and Learning in Higher Education (IJTLHE)
dc.relation.urihttp://www.isetl.org/ijtlhe/abstract.cfm?mid=2114
dc.rightsAll papers in IJTLHE are published under a Creative Commons Attribution-NoDerivs 3.0 Unported License.
dc.rights.accessrightsOpenAccessen_NZ
dc.titleCluster Analysis of Assessment in Anatomy and Physiology for Health Science Undergraduatesen_NZ
dc.typeJournal Article
pubs.elements-id207214
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/Health & Environmental Science/Interprofessional Health
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