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Informative Hypotheses

Irene Klugkist

Irene KlugkistI was the first PhD student in this project and defended my thesis “Inequality Constrained Normal Linear Models” in February 2005. I am still intrigued by the topic and convinced of the benefits that informative hypothesis testing can bring to applied researchers. I was glad to be able to be involved in the supervision of the generation of students after me. Currently, I mainly focus on the analysis of circular data, but -obviously- also within this context I am already exploring the advantages of informative hypothesis testing.

Research topics

  • Informative Hypotheses
  • Circular data
  • Incorporation of historical data in current data analyses

Key publications

  • Baayen, C., & Klugkist, I. (2014). Evaluating order-constrained hypotheses for circular data from a between-within subjects design. Psychological Methods,19(3), 398-408. doi: 10.1037/a0037414
  • Klugkist, I., Van Wesel, F., Bullens, J. (2011). Do we know what we test and do we test what we want to know? International Journal of Behavioral Development, 35, 550-560. doi: 10.1177/0165025411425873
  • Klugkist, I., Laudy, O., Hoijtink, H. (2010).Bayesian evaluation of inequality and equality constrained hypotheses for contingency tables. Psychological Methods, 15, 281-299doi: 10.1037/a0020137
  • Klugkist, I. and Hoijtink, H. (2007). The Bayes factor for inequality and about equality constrained models. Computational Statistics and Data Analysis, 51, 6367-6379. doi: 10.1016/j.csda.2007.01.024
  • Klugkist, I., Laudy, O. and Hoijtink, H. (2005). Inequality Constrained Analysis Of Variance: A Bayesian Approach. Psychological Methods, 10 (4), 477-493. doi: 10.1037/1082-989X.10.4.477