Confirmatory Factor Analysis of Multitrait Multimethod Matrices.

Campbell and Fiske (1959) argue that the demonstration of construct validity requires both convergent validity and discriminant validity; that is, multiple indicators of the same construct should be substantially correlated with each other, but less correlated with indicators of other constructs. They propose collecting measures of more than one trait, each of which is assessed by more than one method. Convergent validity is inferred from agreement between measures of the same trait assessed by different methods. Discriminant or divergent validity refers to the distinctiveness of the different traits, and is inferred from the relative lack of correlation between different traits. Support for these characteristics is based upon inspection or analysis of a multitrait-multimethod (MTMM) matrix. MTMM matrices have been analyzed by a variety of different procedures (Althauser & Heberlein, 1970; Alwin, 1974; Joreskog, 1974; Kavanagh, MacKinney, & Wolins, 1971; Kenny, 1979; Lomax & Algina, 1979; Schmitt, 1978; Schmitt, Coyle, & Saari, 1977; Werts & Linn, 1970). The most frequently employed procedures have been the original Campbell-Fiske criteria (Campbell & Fiske, 1959) and an ANOVA model (Kavanagh et al., 1971; Stanley, 1961). More recently, applications of confirmatory factor analysis have been applied to MTMM matrices, though the approach has been described under a variety of different labels: restricted factor analysis.(Boruch & Wolins, 1970), confirmatory factor analysis (Kenny, 1976; Werts, Jireskog, & Linn, 1972), path analysis (Schmitt, 1978; Schmitt et al., 1977), and exploratory factor analysis (Lomax & Algina, 1979). Most of the other procedures, though not necessarily described in terms of confirmatory factor analysis, do involve applications that are special cases of the more general approach described in this paper (see Alwin, 1974; Avison, 1978). This paper provides a pedagogical exposition of the confirmatory factor analysis of MTMM matrices, and compares this approach with the application of the CampbellFiske criteria and the ANOVA model. These analyses will be performed on the MTMM matrix presented in Table 1. Although the methodology and content relevance of the study are not emphasized here, these details are elaborated elsewhere (Marsh, 1982; Marsh & Overall, 1979). Briefly, university instructors in 329 college classes were asked to evaluate their own teaching effectiveness on the same nine-trait (35 items) instrument that was completed by their students. The definition and calculation of these nine traits are described in the earlier research (Marsh & Overall, 1979). The names of the trait factors of both teacher (A1, A2, etc.) and student (B,, B2, etc.) responses are presented in Table 1. Table 1 also includes correlations that are corrected for attenuation due to measurement error. These are indicated below the main diagonal of the entire 18 x 18

[1]  D. A. Kenny,et al.  Correlation and causality , 1979 .

[2]  K. Jöreskog A general method for analysis of covariance structures , 1970 .

[3]  Michael J. Kavanagh,et al.  Issues in managerial performance: Multitrait-multimethod analyses of ratings. , 1971 .

[4]  D T Campbell,et al.  Methods Factors In Multitrait-Multimethod Matrices : Multiplicative Rather Than Additive? , 1967, Multivariate behavioral research.

[5]  Karl G. Jöreskog,et al.  Analyzing psychological data by structural analysis of covariance matrices , 1974 .

[6]  COMPARISON OF TWO PROCEDURES FOR ANALYZING MULTITRAIT MULTIMETHOD MATRICES , 1979 .

[7]  Second Edition,et al.  Statistical Package for the Social Sciences , 1970 .

[8]  K. Jöreskog Structural analysis of covariance and correlation matrices , 1978 .

[9]  Leroy Wolins,et al.  A Procedure for Estimation of Trait, Method, and Error Variance Attributable to a Measure1 2 , 1970 .

[10]  Robert P. Althauser,et al.  Validity and the Multitrait-Multimethod Matrix , 1970 .

[11]  H. Marsh Validity of Students' Evaluations of College Teaching: A Multitrait-Multimethod Analysis. , 1982 .

[12]  D. A. Kenny,et al.  An empirical application of confirmatory factor analysis to the multitrait-multimethod matrix , 1976 .

[13]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[14]  John E. Hunter,et al.  Halo in a multidimensional forced-choice performance evaluation scale. , 1980 .

[15]  Neal Schmitt,et al.  Path Analysis of Multitrait-Multimethod Matrices , 1978 .

[16]  Julian C. Stanley,et al.  Analysis of unreplicated three-way classifications, with applications to rater bias and trait independence , 1961 .

[17]  W. Avison Auxiliary Theory and Multitrait-Multimethod Validation: A Review of Two Approaches , 1978 .

[18]  K. Jöreskog A general approach to confirmatory maximum likelihood factor analysis , 1969 .

[19]  Bryan W. Coyle,et al.  A Review And Critique Of Analyses Of Multitrait-Multimethod Matrices. , 1977, Multivariate behavioral research.

[20]  Robert L. Linn,et al.  Path analysis: Psychological examples. , 1970 .

[21]  Herbert W. Marsh,et al.  Validity of Student Evaluations of Instructional Effectiveness: A Comparison of Faculty Self-Evaluations and Evaluations by Their Students. , 1979 .

[22]  D. Alwin Approaches to the Interpretation of Relationships in the Multitrait-Multimethod Matrix , 1973 .

[23]  H. Marsh,et al.  Early prediction of reading achievement with the Sheppard School Entry Screening Test: A four-year longitudinal study. , 1982 .

[24]  L. Tucker,et al.  A reliability coefficient for maximum likelihood factor analysis , 1973 .

[25]  Robert L. Linn,et al.  A Multitrait-Multimethod Model for Studying Growth , 1972 .

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

[27]  G. Maruyama,et al.  Evaluating causal models: An application of maximum-likelihood analysis of structural equations , 1980 .

[28]  P. Prescott Estimation of the standard deviation of a normal population from doubly censored samples using normal scores , 1970 .

[29]  Robert L. Linn,et al.  Quantifying Unmeasured Variables , 1974 .

[30]  R. Boruch,et al.  Alternative Methods of Analysis: Multitrait-Multimethod Data , 1970 .