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A Multidimensional Model to Facilitate Within Person Comparison of Attributes.
Davison, Mark L; Chung, Seungwon; Kohli, Nidhi; Davenport, Ernest C.
Affiliation
  • Davison ML; Department of Educational Psychology, University of Minnesota, Minneapolis,  55455, USA. mld@umn.edu.
  • Chung S; US Food and Drug Administration, Silver Spring, USA.
  • Kohli N; University of Minnesota, Minneapolis, USA.
  • Davenport EC; University of Minnesota, Minneapolis, USA.
Psychometrika ; 89(1): 296-316, 2024 03.
Article in En | MEDLINE | ID: mdl-38332224
ABSTRACT
In psychological research and practice, a person's scores on two different traits or abilities are often compared. Such within-person comparisons require that measurements have equal units (EU) and/or equal origins an assumption rarely validated. We describe a multidimensional SEM/IRT model from the literature and, using principles of conjoint measurement, show that its expected response variables satisfy the axioms of additive conjoint measurement for measurement on a common scale. In an application to Quality of Life data, the EU analysis is used as a pre-processing step to derive a simple structure Quality of Life model with three dimensions expressed in equal units. The results are used to address questions that can only be addressed by scores expressed in equal units. When the EU model fits the data, scores in the corresponding simple structure model will have added validity in that they can address questions that cannot otherwise be addressed. Limitations and the need for further research are discussed.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psychometrics / Quality of Life / Models, Statistical Type of study: Prognostic_studies Limits: Humans Language: En Journal: Psychometrika Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psychometrics / Quality of Life / Models, Statistical Type of study: Prognostic_studies Limits: Humans Language: En Journal: Psychometrika Year: 2024 Type: Article Affiliation country: United States