Document Detail


Constructing personality scales under the assumptions of an ideal point response process: toward increasing the flexibility of personality measures.
MedLine Citation:
PMID:  17371125     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Oleksandr S Chernyshenko; Stephen Stark; Fritz Drasgow; Brent W Roberts
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Psychological assessment     Volume:  19     ISSN:  1040-3590     ISO Abbreviation:  Psychol Assess     Publication Date:  2007 Mar 
Date Detail:
Created Date:  2007-03-20     Completed Date:  2007-05-30     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8915253     Medline TA:  Psychol Assess     Country:  United States    
Other Details:
Languages:  eng     Pagination:  88-106     Citation Subset:  IM    
Copyright Information:
((c) 2007 APA, all rights reserved).
Affiliation:
Department of Psychology, University of Canterbury, Christchurch, New Zealand. sasha.chernyshenko@canterbury.ac.nz
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adult
Female
Humans
Male
Personality Assessment / statistics & numerical data*
Psychometrics / statistics & numerical data*
Reference Values
Reproducibility of Results
Statistics as Topic
Students / psychology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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