Search results
Results: 155
Number of items: 155
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Dolan, C. V., Wicherts, J. M., & Molenaar, P. C. M. (2004). A note on the relationship between the number of indicators and their reliability in detecting regression coefficients in latent regression analysis. Structural Equation Modeling, 11, 210-216. https://doi.org/10.1207/s15328007sem1102_4
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Hamaker, E. L., Dolan, C. V., & Molenaar, P. C. M. (2003). ARMA based SEM when the number of timepoints T exceeds the number of cases N: Raw data Maximum Likelihood. Structural Equation Modeling, 10(3), 352-379. https://doi.org/10.1207/S15328007SEM1003_2
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Lubke, G. H., Dolan, C. V., Kelderman, H., & Mellenbergh, G. J. (2003). Weak measurement invariance with respect to unmeasured variables: An implication of strict factorial invariance. British Journal of Mathematical & Statistical Psychology, 56(2), 231-248. https://doi.org/10.1348/000711003770480020
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Rietveld, M. J. H., Dolan, C. V., van Baal, G. C. M., & Boomsma, D. I. (2003). A Twin Study of Differentiation of Cognitive Abilities in Childhood. Behavior genetics, 33(4), 367-381. https://doi.org/10.1023/A:1025388908177
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Lubke, G. H., Dolan, C. V., Kelderman, H., & Mellenbergh, G. J. (2003). On the relationship between sources of within- and between-group differences and measurement invariance in the common factor model. Intelligence, 31(6), 543-566. https://doi.org/10.1016/S0160-2896(03)00051-5
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Lubke, G. H., & Dolan, C. V. (2003). Can unequal residual variances across groups mask differences in residual means in the common factor model? Structural Equation Modeling, 10(2), 175-192. https://doi.org/10.1207/S15328007SEM1002_1
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Dolan, C. V., & Schmittmann, V. (2003). The latent Markov model for normally distributed data specified as a constrained normal pixture. In H. J. Adèr, & G. J. Mellenbergh (Eds.), Proceedings of the second workshop on research methodology (pp. 29-34). Free University, Institute for Research in External methodology.
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Rietveld, M. J. H., Posthuma, D., & Dolan, C. V. (2003). ADHD: Sibling interaction or dominance: An evaluation of statistical power. Behavior genetics, 33, 247-255. https://doi.org/10.1023/A:1023490307170
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