bibliography

Papers and Books about OpenMx

Note, this list is not comprehensive. For more, search GoogleScholar

1. Hunter, M.D. (2018). State Space Modeling in an Open Source, Modular, Structural Equation Modeling Environment. Structural Equation Modeling, 25, 307-324. doi:10.1080/10705511.2017.1369354
2. Pritikin, J. N. & Schmidt, K. M. (2016). Model builder for Item Factor Analysis with OpenMx. R Journal, 8(1), 182-203.
3. Neale, M. C., Hunter, M. D., Pritikin, J. N., Zahery, M., Brick, T. R., Kirkpatrick, R. M., Estabrook, R, Bates, T. C., Maes, H., & Boker, S. M. (2016). OpenMx 2.0: Extended Structural Equation and Statistical Modeling. Psychometrika. doi:10.1007/s11336-014-9435-8
4. Pritikin, J. N., Hunter, M. D., & Boker, S. M. (2015). Modular open-source software for Item Factor Analysis. Educational and Psychological Measurement. 75(3), 458-474. doi:10.1177/0013164414554615
5. Boker, S., Neale, M., Maes, H., Wilde, M., Spiegel, M., Brick, T., Spies, J., Estabrook, R., Kenny, S., Bates, T., Mehta, P. and Fox, J. (2011). OpenMx: An Open Source Extended Structural Equation Modeling Framework. Psychometrika, 76, 306-317.
6. Boker, S., Neale, M., Maes, H., Wilde, M., Spiegel, M., Brick, T. R., Spies, J., Estabrook, R., Kenny, S., Bates, T. C., Mehta, P. and Fox, J. (2011). OpenMx: Multipurpose Software for Statistical Modeling. (Version R package version 1.0.4). Virginia. Retrieved from http://openmx.psyc.virginia.edu.
7. Cheung, M. W. L. (2013). Implementing Restricted Maximum Likelihood Estimation in Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal, 20, 157-167.
8. Ghisletta, P. and McArdle, J. J. (2012). Latent Curve Models and Latent Change Score Models Estimated in R. Structural Equation Modeling: A Multidisciplinary Journal, 19, 651-682.
9. Wu, H. and Neale, M. C. (2012). Adjusted confidence intervals for a bounded parameter. Behav Genet, 42, 886-98.
10. Carey, G. (2010). A graphical user interface (GUI) for OpenMx. Behavior Genetics, 40, .
11. Grimm, K. J., Ram, N. and Estabrook, R. (2010). Nonlinear Structured Growth Mixture Models in Mplus and OpenMx. Multivariate Behavioral Research, 45, 887-909.
12. Kenny, S., Andric, M., Boker, S. M., Neale, M. C., Wilde, M. and Small, S. L. (2010). Parallel workflows for data-driven structural equation modeling in functional neuroimaging. Frontiers in Neuroinformatics, 4, 12.

Selection of Papers using OpenMx

1. Verweij, K. J., Mosing, M. A., Zietsch, B. P. and Medland, S. E. (2012). Estimating heritability from twin studies. Methods Mol Biol, 850, 151-70.
2. Archontaki, D., Lewis, G. J. and Bates, T. C. (2012). Genetic influences on psychological well-being: A nationally representative twin study. Journal of Personality,
3. Jaffee, S. R., Hanscombe, K. B., Haworth, C. M., Davis, O. S. and Plomin, R. (2012). Chaotic Homes and Children's Disruptive Behavior: A Longitudinal Cross-Lagged Twin Study. Psychol Sci, 23, 643-50.
4. Voelkle, M. C., Oud, J. H. L., Davidov E., and Schmidt, P (2012). An SEM Approach to Continuous Time Modeling of Panel Data: Relating Authoritarianism and Anomia. Psychological Methods, Vol. 17, No. 2, 176 –192.
5. Brandmaier, A. M., von Oertzen, T., McArdle, J. J., & Lindenberger, U. (in press). Structural Equation Model TreesPsychological Methods.
6. Lewis, G. J. and Bates, T. C. (2010). Genetic Evidence for Multiple Biological Mechanisms Underlying Ingroup Favoritism. Psychological Science, 21, 1623-1628
7. Lewis, G. J. and Bates, T. C. (2011). A common heritable factor influences prosocial obligations across multiple domains. Biology Letters, 10.1098/rsbl.2010.1187.