Linked Life Data

17371125

Source:http://linkedlifedata.com/resource/pubmed/id/17371125

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2007-3-20
pubmed:abstractText
The main aim of this article is to explicate why a transition to ideal point methods of scale construction is needed to advance the field of personality assessment. The study empirically demonstrated the substantive benefits of ideal point methodology as compared with the dominance framework underlying traditional methods of scale construction. Specifically, using a large, heterogeneous pool of order items, the authors constructed scales using traditional classical test theory, dominance item response theory (IRT), and ideal point IRT methods. The merits of each method were examined in terms of item pool utilization, model-data fit, measurement precision, and construct and criterion-related validity. Results show that adoption of the ideal point approach provided a more flexible platform for creating future personality measures, and this transition did not adversely affect the validity of personality test scores.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1040-3590
pubmed:author
pubmed:copyrightInfo
((c) 2007 APA, all rights reserved).
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
88-106
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Constructing personality scales under the assumptions of an ideal point response process: toward increasing the flexibility of personality measures.
pubmed:affiliation
Department of Psychology, University of Canterbury, Christchurch, New Zealand. sasha.chernyshenko@canterbury.ac.nz
pubmed:publicationType
Journal Article