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N. (Nikola) Sekulovski MSc

Promovendus
Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Psychological Methods
Fotograaf: Nikola Sekulovski
Bezoekadres
  • Nieuwe Achtergracht 129
Postadres
  • Postbus 15906
    1001 NK Amsterdam
Contactgegevens
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  • Profile

    I am a Ph.D. candidate working on developing and improving the Bayesian analysis of network psychometric models. My main research interests are Bayesian statistics, network psychometrics, and Bayesian hypothesis testing.

    Expertise and research fields

    • Bayesian Statistics
    • Network Psychometrics
  • Research

    Research methods

    • Network Psychometrics
    • Bayesian Statistics
    • Bayesian Hypothesis Testing

    Current research projects

    Given the unknown structure of the graphical models used in network psychometrics, the Bayesian approach helps deal with uncertainty by expressing the plausibility of different network structures, testing hypotheses for edge inclusion/exclusion, and providing robust prediction intervals for network parameters based on empirical data. The goal of my Ph.D. project is to further extend the functionality of this methodology by adding additional features as well as making it more accessible to applied researchers.

  • Teaching & PhD supervision

    BA

    • Bayesian statistics
  • Publicaties

    2023

    • Sekulovski, N., & Hoijtink, H. (2023). A default Bayes factor for testing null hypotheses about the fixed effects of linear two-level models. Psychological Methods. Advance online publication. Psychological Methods. https://doi.org/10.1037/met0000573

    2023

    • Sekulovski, N., Keetelaar, S. E., Huth, K. B. S., Wagenmakers, E. M., van Bork, R., van den Bergh, D., & Marsman, M. (2023). Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods. (pp. 1-30). PsyArXiv. https://doi.org/10.31234/osf.io/ch7a2
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
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