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Results: 87
Number of items: 87
  • Bolsinova, M., & Molenaar, D. (2018). Nonlinear Indicator-Level Moderation in Latent Variable Models [Data set]. Taylor & Francis. https://doi.org/10.6084/m9.figshare.7418426.v1
  • Wiberg, M., Culpepper, S., Janssen, R., González, J., & Molenaar, D. (Eds.) (2018). Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017. (Springer Proceedings in Mathematics & Statistics; Vol. 233). Springer. https://doi.org/10.1007/978-3-319-77249-3
  • Molenaar, D., & Dolan, C. V. (2018). Nonnormality in Latent Trait Modeling. In P. Irwing, T. Booth, & D. J. Hughes (Eds.), The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development (Vol. 1, pp. 347-373). Wiley Blackwell. https://doi.org/10.1002/9781118489772.ch13
  • Open Access
    Bolsinova, M., & Molenaar, D. (2018). Modeling nonlinear conditional dependence between response time and accuracy. Frontiers in Psychology, 9(1525), Article 1525. https://doi.org/10.3389/fpsyg.2018.01525
  • Open Access
    Molenaar, D., Bolsinova, M., & Vermunt, J. K. (2018). A semi‐parametric within‐subject mixture approach to the analyses of responses and response times. British Journal of Mathematical & Statistical Psychology, 71(2), 205-228. https://doi.org/10.1111/bmsp.12117
  • Open Access
    Molenaar, D., & de Boeck, P. (2018). Response Mixture Modeling: Accounting for Heterogeneity in Item Characteristics across Response Times. Psychometrika, 83(2), 279-297. https://doi.org/10.1007/s11336-017-9602-9
  • Open Access
    Kruis, J., Molenaar, D., Marsman, M., Maris, G., & van der Maas, H. (2018). The Pairwise Exchange Tournament. University of Amsterdam. https://doi.org/10.13140/RG.2.2.26027.54569
  • Open Access
    Bolsinova, M., Tijmstra, J., Molenaar, D., & De Boeck, P. (2017). Conditional dependence between response time and accuracy: An overview of its possible sources and directions for distinguishing between them. Frontiers in Psychology, 8, Article 202. https://doi.org/10.3389/fpsyg.2017.00202
  • Open Access
    de Kort, J. M., Dolan, C. V., Lubke, G. H., & Molenaar, D. (2017). Studying the strength of prediction using indirect mixture modeling: nonlinear latent regression with heteroskedastic residuals. Structural Equation Modeling, 24(2), 301-313. https://doi.org/10.1080/10705511.2016.1250636
  • Open Access
    Xenidou-Dervou, I., Molenaar, D., Ansari, D., van der Schoot, M., & van Lieshout, E. C. D. M. (2017). Nonsymbolic and symbolic magnitude comparison skills as longitudinal predictors of mathematical achievement. Learning and Instruction, 50, 1-13. https://doi.org/10.1016/j.learninstruc.2016.11.001
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