Awards at IOPS Conferences

IOPS Best Paper Award

Every year at the Summer Conference, IOPS rewards the Best Paper Award for a single research article written by a PhD student of IOPS, that is published or accepted for publication in the previous year. Papers in peer-reviewed journals are given more weight than chapters in books.
This prize is sponsored by the Foundation for the Advancement of Data Theory and the jury consists of three internationally esteemed experts. The winner will also be invited to give a presentation at a future IOPS conference. The winners of the last five years are:

  • Jedelyn Cabrieto (KU Leuven): Cabrieto, J., Tuerlinckx, F., Kuppens, P., Hunyadi, B. & Ceulemans, E. (2018). Testing for the presence of correlation changes in a multivariate time series: A permutation based approach. Scientific Reports, 8, 769. 1-20. doi: 10.1038/s41598-017-19067-2
  • Sacha Epskamp (UvA): Epskamp, S., Rhemtulla, M., & Borsboom, D. (in press). Generalized network psychometrics. Psychometrika.
  • Merijn Mestdagh (KU Leuven): Mestdagh, M., Verdonck, S., Duisters, K., & Tuerlinckx, F. (2015). Fingerprint resampling: A generic method for efficient resampling, Scientific Reports, 5, 16970, 1-21.
  • Xin Gu (UU): Gu, X. & Deković, M. (2014). Bayesian Evaluation of Inequality Constrained Hypothesis. Psychological Methods, 19 (4), 511-527.
  • Annelies Bartlema (KU Leuven): Bartlema, A., Lee, M., Wetzels, R. & Vanpaemel, W. (2013). A Bayesian hierarchical mixture approach to individual differences: Case studies in selective attention and representation in category learning. Journal of Mathematical Psychology.
  • Angélique Cramer (UvA): Cramer, A.O.J., Van der Sluis, S., Noordhof, A., Wicherts, M., Geschwind, N., Aggen, S.H., Kendler, K.S. & Borsboom, D.  (2012). Dimensions of normal personality as networks in search of equilibrium: You can’t like parties if you don’t like people. European Journal of Personality, 26, 414-431.
  • Rogier Kievit (UvA): Kievit, R.A., Romeijn, J.W., Waldorp, L.J., Wicherts, J.M., Scholte, H.S., & Borsboom, D. (2011). Mind the gap: A psychometric approach to the reduction problem. Psychological Inquiry, 22, 1-21.

IOPS Best Poster Award

To underline the importance of the poster presentations at the IOPS conferences, each conference, the Best Poster Award is rewarded. All participants of the conference can vote. The winners so far are:

  • Olmo van den Akker (summer 2018): What heuristics do researchers use when assessing the outcomes of multiple studies?
  • Leonie Vogelsmeier (winter 2017): Latent Markov Factor Analysis for Exploring Measurement Model Changes in Time-Intensive Longitudinal Studies
  • Tessa Blanken (summer 2017): From heterogeneous insomnia to (more) homogeneous subtypes-results of a latent class cluster analysis
  • Nikky van Buuren (winter 2016): Bayesian Networks and Personalized Learning Recommendations
  • Kimberley Lek (summer 2016): How to Construct Individualised Confidence Intervals
  • Sanne Willems (winter 2015): Optimal scaling in survival analysis
  • Jed Cabrieto (summer 2015): Comparing the performance of non-parametric change point detection methods for capturing response concordance
  • Merijn Mestdagh (winter 2014): ‘The impact of bounded measurements on the relation between the mean and the standard deviation

IOPS Best Presentation Award

The oral presentations by PhD students who are in the last stage of their project, are the main component of the IOPS Conferences. To reward the high quality of these presentations, the IOPS board established the Best Presentation Award in 2016. The jury consists of PhD students and staff.

  • Johnny van Doorn (summer 2018): Bayesian rank-based inference through data augmentation
  • Merijn Mestdagh (winter 2017): Prepaid parameter estimation without likelihoods
  • Paulette Flore (summer 2017): The psychometrics of stereotype threat
  • Jonas Haslbeck (winter 2016): Estimating Time-Varying Mixed Graphical Models
  • Dries Debeer (summer 2016): Item-position Effects and Missing Responses in Large-Scale Assessments: Models and Applications