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Results: 55
Number of items: 55
  • Open Access
    Hensums, M., Overbeek, G. J., & Jorgensen, T. D. (2022). Not one sexual double standard but two? Adolescents’ attitudes about appropriate sexual behavior. Youth and Society, 54(1), 23-42. https://doi.org/10.1177/0044118X20957924
  • Open Access
    Jorgensen, T. D., & Forney, K. J. (2022). A reduced social relations model for dyad-constant dependent variables. In M. Wiberg, D. Molenaar, J. González, J.-S. Kim, & H. Hwang (Eds.), Quantitative Psychology: The 86th Annual Meeting of the Psychometric Society, Virtual, 2021 (pp. 249-264). (Springer Proceedings in Mathematics and Statistics; Vol. 393). Springer. https://doi.org/10.1007/978-3-031-04572-1_19
  • 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
    Jorgensen, T. D., & Johnson, A. R. (2022). How to derive expected values of structural equation model parameters when treating discrete data as continuous. Structural Equation Modeling, 29(4), 639–650. https://doi.org/10.1080/10705511.2021.1988609
  • Open Access
    Kolbe, L., Jorgensen, T. D., & Molenaar, D. (2021). The Impact of Unmodeled Heteroskedasticity on Assessing Measurement Invariance in Single-group Models. Structural Equation Modeling, 28(1), 82-98. https://doi.org/10.1080/10705511.2020.1766357
  • Open Access
    Jak, S., Jorgensen, T. D., Verdam, M. G. E., Oort, F. J., & Elffers, L. (2021). Analytical power calculations for structural equation modeling: A tutorial and Shiny app. Behavior Research Methods, 53(4), 1385-1406. https://doi.org/10.3758/s13428-020-01479-0
  • Open Access
    Jorgensen, T. D. (2021). How to estimate absolute-error components in structural equation models of generalizability theory. Psych, 3(2), 113-133. https://doi.org/10.3390/psych3020011
  • Open Access
    Schoemann, A. M., & Jorgensen, T. D. (2021). Testing and interpreting latent variable interactions using the semTools package. Psych, 3(3), 322-335. https://doi.org/10.3390/psych3030024
  • Schoemann, A. M., & Jorgensen, T. D. (2021, December 6). Testing and Interpreting Latent Variable Interactions using the semTools package [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.17104532.v1
  • Open Access
    Jak, S., Jorgensen, T. D., & Rosseel, Y. (2021). Evaluating cluster-level factor models with lavaan and Mplus. Psych, 3(2), 134-152. https://doi.org/10.3390/psych3020012
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