In making decisions, people apply strategies that help them decide between multiple possible options. The outcomes of such decisions may greatly impact the personal, academic and/or professional life of the decision-maker as well as their surroundings. Hypothesized is that children are bound to using sequential strategies, wherein the properties of decision options are weighed against each other one by one, while adults may use either sequential or integrative strategies, the latter involving the simultaneous comparison of multiple choice option properties. The latter is often more favourable, as it allows pros and cons of choice options to balance each other out (i.e. the gains of a lottery jackpot may seem tempting, but balancing that against the small chance of actually winning might make one think twice about buying a ticket).
The aim of this project is to develop mathematical models that can predict the applied decision strategy from combined behavioural and neuroimaging data. If successful, these models may provide insights in the developmental and neuropsychological markers of decision-making strategies, and may prove useful in understanding suboptimal decision-making as related to several pathologies.
As a research methodologist, main interests and skills overlap largely in the field of math and statistics, scientific writing, programming, and other scientific methods. More specific topics of interest include decision making, analytical methods, neuroscience, model-based research, and bridging behavioural and neuroimaging psychology. For more information, see my Linkedin page: https://www.linkedin.com/in/jacqueline-zadelaar-964a95a3/.
Zadelaar, J. N., Agelink van Rentergem, J. A., & Huizenga, H. M. (2017). Univariate comparisons given aggregated normative data. The Clinical Neuropsychologist, 1-18. DOI: 10.1080/13854046.2017.1348542. https://www.researchgate.net/publication/318233472_Univariate_comparisons_given_aggregated_normative_data