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A new, more powerful approach to multitrait-multimethod analyses : Application of second-order confirmatory factor analysis
Marsh, Herbert W. Hocevar, Dennis
Marsh, Herbert W.
Hocevar, Dennis
Author
Abstract
The advantages of applying confirmatory factor analysis (CFA) to multitrait-multimethod (MTMM) data are widely recognized. However, because CFA. as traditionally applied to MTMM data, incorporates single indicators of each scale (i.e., each trait-method combination), important weaknesses are the failure to (a) correct appropriately for measurement error in scale scores, (b) separate error due to law internal consistency from uniqueness due to weak trait or method effects, (c) test whether items or subscales accurately reflect the intended factor structure, and (d) test for correlated uniquenesses. However, when the analysis begins with multiple indicators of each scale (i.e., items or subscales), second-order factor analysis can be used to address each of these problems. In this approach, first-order factors defined by multiple items or subscales are posited for each scale, and the method and trait factors are posited as second-order factors.
Keywords
Date
1988
Type
Journal article
Journal
Journal of Applied Psychology
Book
Volume
73
Issue
1
Page Range
107-118
Article Number
ACU Department
Institute for Positive Psychology and Education
Faculty of Education and Arts
Faculty of Education and Arts
Relation URI
Event URL
Open Access Status
License
All rights reserved
File Access
Controlled