Bio

For my up-to-date resumé, see: https://cjvanlissa.github.io/resume/

My research revolves around three themes: The “theory crisis” in social sciences, cumulative knowledge acquisition, and reliability of research findings. My primary veni-funded research line uses machine learning for rigorous exploration, and uses the resulting data-driven insights to complement blind spots in theory. My secondary research line focuses on evidence synthesis: Summarizing existing knowledge, e.g. through systematic reviews and meta-analysis. Specifically, I develop machine learning methods to account for heterogeneity in meta-analysis and to qualitatively summarize published literature. My third research line revolves around open science, in particular computational reproducibility. As statistical co-author, I support research in many societally relevant areas. 

Expertise

    Statistical expertise

    • Data science
    • (Longitudinal) structural equation modeling
    • Random forests and recursive partitioning
    • Meta-analysis

    Substantive expertise

    • Adolescents' socio-emotional development
    • Parent-child conflict resolution
    • Fathers' role in child development

    Academic resumé

    • Bachelor Liberal Arts & Sciences (minors in statistics and neuroscience; University College Utrecht, 2007)
    • MSc Social Psychology (cum laude; VU University, Amsterdam, 2011)
    • PhD Adolescent development (Utrecht University, 2016)
    • Postdoc Family sociology (Erasmus University Rotterdam, 2015-2018)

    Teaching

    The choice for an academic career was partly motivated by my passion for teaching. Since I had the opportunity to teach workgroups in my bachelor's degree (2007), I have continuously taught students with diverse background knowledge and motivation: from talent education for highschool students to summer schools for colleagues and evening classes for professionals. I take students seriously and focus on interactivity in my lectures; for example, by using a "flipped classroom": Students watch my lectures on YouTube, and lecture time is used for in-depth discussion and follow-up questions. I received the 2021 "Teacher of the year" award from USocia. I invest in educational innovation, particularly with regard to open science education, problem-based learning, and constructive alignment.

    Courses

    Collaboration

    I strongly value collaboration. If you have an idea you want to discuss, please contact me for a meeting. For my ongoing collaborations, see my online resume.

    Recent publications

    1. A many-analysts approach to the relation between religiosity and well…

      Hoogeveen, S., Sarafoglou, A., Aczel, B., Aditya, Y., Alayan, A. J., Allen, P. J., Altay, S., Alzahawi, S., Amir, Y., Anthony, F-V., Appiah, O. K., Atkinson, Q. D., Baimel, A., Balkaya-Ince, M., Balsamo, M., Banker, S., Bartos, F., Becerra, M., Beffara, B., ... Wagenmakers, E-J. (2023). A many-analysts approach to the relation between religiosity and well-being. Religion, Brain & Behavior. Advance online publication.
    2. A theory-informed emotion regulation variability index - Bray-Curtis …

      Lo, T. T., van Lissa, C., Verhagen, M., Hoemann, K., Erbaş, Y., & Maciejewski, D. (2023). A theory-informed emotion regulation variability index: Bray-Curtis dissimilarity. PsyArXiv Preprints.

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