title: More on MTMM: the role of confirmatory factor analysis.
abstract: This article is the second of two on the use of confirmatory factor analysis (CFA) as a method to assess construct validity. The construct validation criteria required by the conventional MTMM approach are satisfied only by certain ideal data sets, such as those in which the method variance of measures is very low. The CFA approach to multitrait-multimethod (MTMM) data is more general, in that violations of those stringent criteria can be managed. Another limitation of the conventional MTMM approach is that only a relatively small number of indicators can be examined by bivariate analysis. The economy of the CFA approach permits the analysis of a much larger number of indicators. In this article, a data set is analyzed using the CFA approach. Results are presented that illustrate the application of this statistical method.
authors.affiliation: Department of Psychology, University of Arizona, Tucson 85721.
authors.forename: A J
authors.initials: AJ
authors.lastname: Figueredo
authors.forename: S L
authors.initials: SL
authors.lastname: Ferketich
authors.forename: T R
authors.initials: TR
authors.lastname: Knapp
mesh_terms: D004576:Electromyography; D004644:Emotions / Q000502:physiology; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D016294:Models, Nursing; D015233:Models, Statistical; D015999:Multivariate Analysis; D015404:Nursing Methodology Research / Q000379:methods; D010555:Personality Inventory; D011594:Psychometrics / Q000379:methods*