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Structural Equation Modeling: A Multidisciplinary Journal Volume 21, 2014 - Issue 4
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Articles

Toward Improving the Modeling of MTMM Data: A Response to Geiser, Koch, and Eid (2014)

Laura Castro-SchiloThe University of North Carolina at Chapel HillCorrespondence[email protected]
,
Keith F. WidamanUniversity of California, Davis
&
Kevin J. GrimmUniversity of California, Davis
Pages 524-533 | Published online: 30 Sep 2014

REFERENCES

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  • Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait–multimethod matrix. Psychological Bulletin, 56, 81–105. doi: 10.1037/h0046016
  • Castro-Schilo, L., Widaman, K. F., & Grimm, K. J. (2013). Neglect the structure of multitrait–multimethod data at your peril: Implications for associations with external variables. Structural Equation Modeling, 20, 181–207. doi: 10.1080/10705511.2013.769385
  • Eid, M. (2000). A multitrait–multimethod model with minimal assumptions. Psychometrika, 65, 241–261. doi: 10.1007/BF02294377
  • Geiser, C., Eid, M., & Nussbeck, F. W. (2008). On the meaning of the latent variables in the CT–C(M–1) model: A comment on Maydeu-Olivares & Coffman (2006). Psychological Methods, 13, 49–57. doi: 10.1037/1082-989X.13.1.49
  • Geiser, C., Koch, T., & Eid, M. (2014). Data-Generating Mechanisms Versus Constructively Defined Latent Variables in Multitrait–Multimethod Analysis: A Comment on Castro-Schilo, Widaman, and Grimm (2013). Structural Equation Modeling: A Multidisciplinary Journal, 21, 509–523.
  • Graham, J. W., & Collins, N. L. (1991). Controlling correlational bias via confirmatory factor analysis of MTMM data. Multivariate Behavioral Research, 26, 607–629.
  • Grayson, D., & Marsh, H. W. (1994). Identification with deficient rank loading matrices in confirmatory factor analysis: Multitrait–multimethod models. Psychometrika, 59, 121–134.
  • MacCallum, R. C., Wegener, D. T., Uchino, B. N., & Fabrigar, L. R. (1993). The problem of equivalent models in applications of covariance structure analysis. Psychological Bulletin, 114, 185–199. doi: 10.1037/0033-2909.114.1.185
  • Marsh, H. W., & Hocevar, D. (1988). A new, more powerful approach to multitrait–multimethod analyses: Application of second-order confirmatory factor analysis. Journal of Applied Psychology, 73, 107–117. doi: 10.1037/0021-9010.73.1.107
  • Maydeu-Olivares, A., & Coffman, D. L. (2006). Random intercept item factor analysis. Psychological Methods, 11, 344–362. doi: 10.1037/1082-989X.11.4.344

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