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Results: 12
Number of items: 12
  • Open Access
    Hove, D. T., Jorgensen, T. D., & van der Ark, L. A. (2025). Interrater reliability for interdependent social network data: A generalizability theory approach. Multivariate Behavioral Research, 60(3), 444-459. https://doi.org/10.1080/00273171.2024.2444940
  • Open Access
    Kan, K.-J., Psychogyiopoulos, A., Groot, L. J., de Jonge, H., & ten Hove, D. (2024). Why do bi-factor models outperform higher-order g factor models? A network perspective. Journal of Intelligence, 12(2), Article 18. https://doi.org/10.3390/jintelligence12020018
  • Open Access
    Glas, C. A. W., Jorgensen, T. D., & ten Hove, D. (2024). Reducing attenuation bias in regression analyses involving rating scale data via psychometric modeling. Psychometrika, 89(1), 42–63. https://doi.org/10.1007/s11336-024-09967-4
  • Open Access
    ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2024). Updated Guidelines on Selecting an Intraclass Correlation Coefficient for Interrater Reliability, With Applications to Incomplete Observational Designs. Psychological Methods, 29(5), 967–979. https://doi.org/10.1037/met0000516
  • Open Access
    van der Ark, L. A., Jorgensen, T. D., & ten Hove, D. (2023). Factors affecting efficiency of interrater reliability estimates from planned missing data designs on a fixed budget. 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. 1-15). (Springer Proceedings in Mathematics & Statistics; Vol. 422). Springer. https://doi.org/10.1007/978-3-031-27781-8_1
  • 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. (2023). Interrater reliability for incomplete and dependent data. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
  • Open Access
    ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2020). Comparing hyperprior distributions to estimate variance components for interrater reliability coefficients. In M. Wiberg, D. Molenaar, J. González, H. Böckenholt, & J.-S. Kim (Eds.), Quantitative Psychology: 84th Annual Meeting of the Psychometric Society, Santiago, Chile, 2019 (pp. 79-93). (Springer Proceedings in Mathematics & Statistics; Vol. 322). Springer. https://doi.org/10.1007/978-3-030-43469-4_7
  • van der Ark, L. A., Korf, W., Peters, P., Chen, M., ten Hove, D., & Koopman, L. (2019). Onderzoek naar de verbetering van tests en vragenlijsten voor de pedagogische praktijk. In W. de Jong, J. Bekker, H. de Deckere, I. Schonewille, & L. van der Poel (Eds.), De belofte van de jeugd?!: Pedagogiek in de 21e eeuw (pp. 81-92). Uitgeverij SWP.
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