Multitrait–Multimethod Designs

Multitrait–multimethod (MTMM) designs refer to a construct validation approach proposed by Campbell and Fiske in 1959. To apply MTMM designs, researchers assess multiple traits (i.e., psychological constructs) for a group of individuals using multiple methods that are maximally different. Correlation coefficients among the multiple constructs so produced are then compared to evaluate convergent and discriminant validity. To ensure validity, correlations between the same trait assessed with different methods must be sufficiently large and larger than those between different traits assessed with either the same or different methods. Further, the same pattern of correlations should exist between traits within each method.

[1]  J. Tomás,et al.  Linear Confirmatory Factor Models to Evaluate Multitrait-Multimethod Matrices: The Effects of Number of Indicators and Correlation Among Methods , 2000, Multivariate behavioral research.

[2]  Mimi Bong,et al.  Measuring Self-Efficacy: Multitrait-Multimethod Comparison of Scaling Procedures , 2001 .

[3]  J. P. Craiger,et al.  Effectiveness of the direct product versus confirmatory factor model for reflecting the structure of multimethod-multirater job performance data. , 1997, The Journal of applied psychology.

[4]  Herbert W. Marsh,et al.  Confirmatory Factor Analysis of Multitrait Multimethod Matrices. , 1983 .

[5]  D. Campbell,et al.  Convergent and discriminant validation by the multitrait-multimethod matrix. , 1959, Psychological bulletin.

[6]  Elazar J. Pedhazur,et al.  Measurement, Design, and Analysis: An Integrated Approach , 1994 .

[7]  B. Byrne,et al.  Confirmatory Factor Analysis of Multitrait-Multimethod Self-concept Data: Between-group and Within-group Invariance Constraints. , 1993, Multivariate behavioral research.

[8]  Neal Schmitt,et al.  Methodology Review: Analysis of Multitrait-Multimethod Matrices , 1986 .

[9]  M. Browne,et al.  The decomposition of multitrait-multimethod matrices. , 1984, The British journal of mathematical and statistical psychology.

[10]  H. Marsh,et al.  Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups. , 1985 .

[11]  K. Widaman Hierarchically Nested Covariance Structure Models for Multitrait-Multimethod Data , 1985 .

[12]  L. Crocker,et al.  Introduction to Classical and Modern Test Theory , 1986 .

[13]  R. Bagozzi,et al.  Testing Hypotheses About Methods, Traits, and Communalities in the Direct-Product Model , 1992 .

[14]  D. L. Mosher Measurement of guilt in females by self-report inventories. , 1968, Journal of consulting and clinical psychology.

[15]  H. Marsh Multitrait-Multimethod Analyses: Inferring Each Trait-Method Combination with Multiple Indicators. , 1993 .

[16]  D. A. Kenny,et al.  Analysis of the multitrait^multimethod matrix by confirmatory factor analysis , 1992 .

[17]  H. Marsh Confirmatory Factor Analyses of Multitrait-Multimethod Data: Many Problems and a Few Solutions , 1989 .

[18]  R. Millsap Sufficient conditions for rotational uniqueness in the additive MTMM model , 1992 .

[19]  M. Browne,et al.  The direct product model for the mtmm matrix parameterized as a second order factor analysis model , 1990 .

[20]  H W Marsh,et al.  Overcoming Problems in Confirmatory Factor Analyses of MTMM Data: The Correlated Uniqueness Model and Factorial Invariance. , 1992, Multivariate behavioral research.

[21]  H. Marsh,et al.  Confirmatory Factor Analyses of Multitrait-Multimethod Data: A Comparison of Alternative Models , 1991 .

[22]  S. Scullen Using Confirmatory Factor Analysis of Correlated Uniquenesses to Estimate Method Variance in Multitrait-Multimethod Matrices , 1999 .

[23]  R. Bagozzi,et al.  Assessing method variance in multitrait-multimethod matrices: The case of self-reported affect and perceptions at work. , 1990 .

[24]  Roger E. Millsap,et al.  A cautionary note on the detection of method variance in multitrait-multimethod data , 1990 .

[25]  H. Marsh,et al.  A new, more powerful approach to multitrait-multimethod analyses: Application of second-order confirmatory factor analysis. , 1988 .

[26]  R. Bagozzi,et al.  Multitrait-Multimethod Matrices in Consumer Research , 1991 .