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ERIC Number: EJ1007359
Record Type: Journal
Publication Date: 2013-Jun
Pages: 15
Abstractor: As Provided
Reference Count: 23
ISBN: N/A
ISSN: ISSN-0146-6216
Taking the Error Term of the Factor Model into Account: The Factor Score Predictor Interval
Beauducel, Andre
Applied Psychological Measurement, v37 n4 p289-303 Jun 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical test theory. On this basis, a definition of reliability, standard error of measurement, and confidence intervals for the factor score predictor are proposed. It is argued that factor score predictor intervals should be used instead of single score predictors to account for the error term in the factor model. The calculation of reliabilities and factor score predictor intervals is illustrated by means of a small simulation study and an empirical example. (Contains 5 tables and 1 figure.)
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Germany
Identifiers - Assessments and Surveys: Eysenck Personality Inventory