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Ashley L. Watts; Bridget A. Makol; Isabella M. Palumbo; Andres De Los Reyes; Thomas M. Olino; Robert D. Latzman; Colin G. DeYoung; Phillip K. Wood; Kenneth J. Sher – Grantee Submission, 2022
We used multitrait-multimethod (MTMM) modeling to examine general factors of psychopathology in three samples of youth (Ns = 2119, 303, 592) for whom three informants reported on the youth's psychopathology (e.g., child, parent, teacher). Empirical support for the "p"-factor diminished in multi-informant models compared with…
Descriptors: Multitrait Multimethod Techniques, Robustness (Statistics), Psychopathology, Youth
Geiser, Christian; Eid, Michael; West, Stephen G.; Lischetzke, Tanja; Nussbeck, Fridtjof W. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Multimethod data analysis is a complex procedure that is often used to examine the degree to which different measures of the same construct converge in the assessment of this construct. Several authors have called for a greater understanding of the definition and meaning of method effects in different models for multimethod data. In this article,…
Descriptors: Structural Equation Models, Factor Analysis, Multitrait Multimethod Techniques, Comparative Analysis
Castro-Schilo, Laura; Widaman, Keith F.; Grimm, Kevin J. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
In 1959, Campbell and Fiske introduced the use of multitrait-multimethod (MTMM) matrices in psychology, and for the past 4 decades confirmatory factor analysis (CFA) has commonly been used to analyze MTMM data. However, researchers do not always fit CFA models when MTMM data are available; when CFA modeling is used, multiple models are available…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Structural Equation Models, Monte Carlo Methods
Peer reviewedShotland, R. Lance; Mark, Melvin M. – New Directions for Program Evaluation, 1987
Multiple evaluation methods (MEMs) can cause an inferential challenge, although there are strategies to strengthen inferences. Practical and theoretical issues involved in the use by social scientists of MEMs, three potential problems in drawing inferences from MEMs, and short- and long-term strategies for alleviating these problems are outlined.…
Descriptors: Evaluation Methods, Multitrait Multimethod Techniques, Research Methodology, Statistical Bias
Peer reviewedGraham, John W.; Collins, Nancy L. – Multivariate Behavioral Research, 1991
Common approaches to examining the relationship between multitrait-multimethod (MTMM) data and variables outside the MTMM data are compared: averaging various means of each trait and estimating LISREL computer program models, and estimating only relationships between MTMM traits and the outside variables. Problems of correlational bias are…
Descriptors: Comparative Analysis, Computer Simulation, Correlation, Equations (Mathematics)
Peer reviewedCole, David A.; Cho, Sung; Martin, Joan M.; Seroczynski, A. D.; Tram, Jane; Hoffman, Kit – Structural Equation Modeling, 2001
Studied the convergent and discriminant validity of multiple measures of perceived competence and obtained 12 separate multitrait-multimethod (MTMM) data sets for 1,228 children in grades 3 through 8. Examined the bias inherent in appraisals of children's competence and estimated manifest and latent variable mean differences between boys and girls…
Descriptors: Competence, Elementary Education, Elementary School Students, Evaluation Methods
Patry, Jean-Luc – Quality of Higher Education, 2005
Quality assurance and evaluation research, like other fields of social research and its application, are confronted with a series of problems. In the present paper, I want first to give a list of such problems, although necessarily incomplete. It is then claimed that while there is no "perfect" solution to these problems, critical multiplism may…
Descriptors: Evaluation Research, Research Problems, Guidelines, Evaluation Methods
Peer reviewedHennessy, Michael; Saltz, Robert F. – Evaluation Review, 1989
A beverage-server intervention project at two West Coast Navy bases that attempted to reduce levels of alcoholic intoxication via policy changes and server training is described. Data obtained via interviews and structured observations of 1,511 club customers indicate methodological bias and self-selection effects. Bias adjustments were performed…
Descriptors: Alcohol Abuse, Clubs, Dining Facilities, Enlisted Personnel

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