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Results: 55
Number of items: 55
  • Open Access
    Jorgensen, T. D., & Garnier-Villarreal, M. (2023). Limited utility of small-variance priors to detect local misspecification in Bayesian structural equation models. In M. Wiberg, D. Molenaar, J. González, J.-S. Kim, & H. Hwang (Eds.), Quantitative psychology: The 87th annual meeting of the Psychometric Society, Bologna, 2022 (pp. 85-95). (Springer Proceedings in Mathematics & Statistics; Vol. 422). Springer. https://doi.org/10.1007/978-3-031-27781-8_8
  • Open Access
    Vispoel, W. P., Hong, H., Lee, H., & Jorgensen, T. D. (2023). Analyzing complete generalizability theory designs using structural equation models. Applied Measurement in Education, 36(4), 372-393. https://doi.org/10.1080/08957347.2023.2274573
  • Open Access
    van Trigt, S., Colonnesi, C., Brummelman, E., Jorgensen, T. D., & Nikolic, M. (2023). Autistic traits and self-conscious emotions in early childhood. Child Development, 94(4), e181–e196. https://doi.org/10.1111/cdev.13921
  • Open Access
    Nikolić, M., Brummelman, E., Orobio de Castro, B., Jorgensen, T. D., & Colonnesi, C. (2023). Parental socialization of guilt and shame in early childhood. Scientific Reports, 13, Article 11767. https://doi.org/10.1038/s41598-023-38502-1
  • Open Access
    Donnelly, S., Jorgensen, T. D., & Rudolph , C. W. (2023). Power analysis for conditional indirect effects: A tutorial for conducting Monte Carlo simulations with categorical exogenous variables. Behavior Research Methods, 55(7), 3892-3909. https://doi.org/10.3758/s13428-022-01996-0
  • Open Access
    Huijzer-Engbrenghof, M., van Rijn-van Gelderen, L., van den Akker, A., Jorgensen, T. D., & Overbeek, G. (2023). Intervention-induced temperament changes in children: Evidence from a randomized controlled trial of the Incredible Years parent program. Developmental Psychology, 59(10), 1839-1851. https://doi.org/10.1037/dev0001591
  • Open Access
    Rifenbark, G. G., & Jorgensen, T. D. (2023). The plausibility and feasibility of remedies for evaluating structural fit. In M. Wiberg, D. Molenaar, J. González, J.-S. Kim, & H. Hwang (Eds.), Quantitative psychology: The 87th annual meeting of the Psychometric Society, Bologna, 2022 (pp. 147-159). (Springer Proceedings in Mathematics & Statistics; Vol. 422). Springer. https://doi.org/10.1007/978-3-031-27781-8_14
  • Open Access
    ten Hove, D. (2023). Interrater reliability for incomplete and dependent data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Jak, S., Jorgensen, T. D., ten Hove, D., & Nevicka, B. (2023). Modeling cluster-level constructs measured by individual responses: Configuring a shared approach. Advances in Methods and Practices in Psychological Science, 6(3). https://doi.org/10.1177/25152459231182319
  • Open Access
    ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2022). Interrater Reliability for Multilevel Data: A Generalizability Theory Approach. Psychological Methods, 27(4), 650-666. https://doi.org/10.1037/met0000391
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