Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/11991
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dc.contributor.authorHaynes, John Ewenen
local.source.editorEditor(s): John Hammonden
dc.date.accessioned2013-02-05T10:30:00Z-
dc.date.issued2008-
dc.identifier.citationProceedings of the Ninth Australasian Conference on Mathematics and Computers in Sport, p. 88-94en
dc.identifier.isbn9780957862340en
dc.identifier.urihttps://hdl.handle.net/1959.11/11991-
dc.description.abstractResults that employ Rasch (1960) analysis are often reported in the form of an item-person map, which show the relationship between two key variables: item difficulty estimates and person ability estimates. The map displays results numerically in the form of logits. This paper presents the results of an analysis, using the 'Quest' (Adams & Khoo, 1993) statistical package, for individuals (N = 117) who performed the fundamental skill of the basic forward roll, in gymnastics. Initially the 'Quest' package was employed to confirm the underlying construct, namely, the quality of the individual's performance. However, within the realm of the psychomotor mode of learning, the use of numbers, as they are traditionally employed in reporting statistical results, may not achieve a 'user friendly' status for either physical education teachers or sporting coaches. Because data were recorded using digital images, the results could be reported through the linking of photographs to in the step difficulties previously only presented in numerical format. These images depict what the different aspects of the roll actually 'look like', whilst still maintaining the integrity of the item-person map. As such, the degree of difficulty were visually linked to the quality of student performances for the forward roll. The individuals who took part in this study represent an a sample who are at both ends of the limits of ability to perform a roll. Their ages ranged from 4 years to 42 years, and comprised three cohorts, namely children, young adults and older adults. This approach brings together previously unconnected elements of data, analysis and interpretation of results.en
dc.languageenen
dc.publisherMathSport (ANZIAM)en
dc.relation.ispartofProceedings of the Ninth Australasian Conference on Mathematics and Computers in Sporten
dc.titleThe Use of Images in an Item-Person Mapen
dc.typeConference Publicationen
dc.relation.conference9 M&CS: 9th Australasian Conference on Mathematics and Computers in Sporten
dc.subject.keywordsApplied Statisticsen
local.contributor.firstnameJohn Ewenen
local.subject.for2008010401 Applied Statisticsen
local.subject.seo2008930103 Learner Developmenten
local.profile.schoolSchool of Educationen
local.profile.emailjhaynes2@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordpes:6087en
local.date.conference30th August - 3rd September, 2008en
local.conference.placeTweed Heads, Australiaen
local.publisher.placeMudgeeraba, Australiaen
local.format.startpage88en
local.format.endpage94en
local.peerreviewedYesen
local.contributor.lastnameHaynesen
dc.identifier.staffune-id:jhaynes2en
local.profile.roleauthoren
local.identifier.unepublicationidune:12194en
dc.identifier.academiclevelAcademicen
local.title.maintitleThe Use of Images in an Item-Person Mapen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.anziam.org.au/Ninth+MCSen
local.conference.details9 M&CS: 9th Australasian Conference on Mathematics and Computers in Sport, Tweed Heads, Australia, 30th August - 3rd September, 2008en
local.search.authorHaynes, John Ewenen
local.uneassociationUnknownen
local.year.published2008en
local.date.start2008-08-30-
local.date.end2008-09-03-
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