Maximizing Information: Applications of Ideal Point Modeling and Innovative Item Design to Personality Measurement

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dc.contributor.advisor Hattie, John. en
dc.contributor.author Leeson, Heidi Vanessa en
dc.date.accessioned 2009-03-05T22:05:05Z en
dc.date.available 2009-03-05T22:05:05Z en
dc.date.issued 2008 en
dc.identifier.citation Thesis (PhD--Education)--University of Auckland, 2008. en
dc.identifier.uri http://hdl.handle.net/2292/3405 en
dc.description.abstract Recent research has challenged the way in which personality and attitude constructs are measured. Alternatives have been offered as to how non-cognitive responses are modeled, the mode of delivery used when administrating such scales, and the impact of technology in measuring personality. Thus, the major purpose of the studies in this thesis concerns two interrelated issues of personality research, namely the way personality responses are best modeled, and the most optimal mode by which personality items are presented and associated modal issues. Three studies are presented. First, recent developments using an ideal point approach to scale construction are outlined, and an empirical study compares modeling personality items based on an ideal point approach (generalized graded unfolding model; GGUM) and a dominance approach (graded response model: GRM). Second, an extensive review of literature pertaining to the mode effect when transferring paper-and-pencil measures to screen was conducted, in addition to a review of the various types of computerized and innovative items and their associated psychometric information. Finally, nine innovative items were developed using various multimedia features (e.g., video, graphics, and audio) to ascertain the advantages of these methods to present items constructed to elicit response behavior underlying ideal point approaches, namely, typical response behavior. It was found that the dominance IRT model continued to produce superior model-data fit for most items, more attention needs to be placed on developing principles for constructing ideal point type items, the web-based version supplied 20% more construct information than the paper version, and innovative items seem to provide more data-model fit for students with lower personality attributes. While the innovative items may require more initial outlay in terms of time and development costs, they have the capacity to provide more information regarding test-takers’ personality levels, potentially using fewer items. en
dc.language.iso en en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof PhD Thesis - University of Auckland en
dc.relation.isreferencedby UoA1872209 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ en
dc.subject Ideal Point Theory en
dc.subject Innovative items en
dc.subject Web-based testing en
dc.subject Computer-based testing en
dc.subject Personality measurement en
dc.subject Psychometrics en
dc.title Maximizing Information: Applications of Ideal Point Modeling and Innovative Item Design to Personality Measurement en
dc.type Thesis en
thesis.degree.discipline Education en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Doctoral en
thesis.degree.name PhD en
dc.subject.marsden Fields of Research::380000 Behavioural and Cognitive Sciences::380100 Psychology::380104 Personality, abilities and assessment en
dc.subject.marsden Fields of Research::330000 Education::330100 Education Studies::330109 Assessment and evaluation en
dc.subject.marsden Fields of Research::330000 Education::330100 Education Studies::330107 Educational technology and media en
dc.rights.holder Copyright: The author en
pubs.local.anzsrc 13 - Education en
pubs.org-id Faculty of Education en


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