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ERIC Number: EJ817340
Record Type: Journal
Publication Date: 2008
Pages: 15
Abstractor: As Provided
Reference Count: 25
ISSN: ISSN-0211-2159
Maximizing the Information and Validity of a Linear Composite in the Factor Analysis Model for Continuous Item Responses
Ferrando, Pere J.
Psicologica: International Journal of Methodology and Experimental Psychology, v29 n2 p189-203 2008
This paper develops results and procedures for obtaining linear composites of factor scores that maximize: (a) test information, and (b) validity with respect to external variables in the multiple factor analysis (FA) model. I treat FA as a multidimensional item response theory model, and use Ackerman's multidimensional information approach based on maximum likelihood (ML) estimation of trait levels. This approach, when applied to the FA model, leads to particularly simple results as far as maximizing test information is concerned. Developments concerned with validity appear to be new, and I use ML results in the context of error-in-variables regression. Graphical procedures for representing both type of results are proposed. The developments are illustrated with two empirical examples in personality measurement. (Contains 1 table and 2 figures.)
University of Valencia. Dept. Metodologia, Facultad de Psicologia, Avda. Blasco Ibanez 21, 46010 Valencia, Spain. Tel: +34-96-386-4100; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A