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OVERVIEW
My research examines neurodiversity, quantitative learning, and psychological measurement, often in the higher education context.
Across these areas, my research often combines applied educational questions with psychometric and methodological approaches, focusing on how psychological constructs are defined, assessed, and interpreted.
My broad aims are to improve the quality and usefulness of psychological research and to better understand how learning and assessment environments can support diverse student experiences.
RESEARCH PROJECTS
Explore the research areas below to find out more about my work, including publications, talks, and other research activities.
(Meta/Open-Science; CRT; Other)
RESEARCH METHODS
Methods I frequently use include:
Factor analysis (EFA, CFA, bifactor/hierarchical)
Measurement invariance
Meta-analysis
Equivalence testing
Latent profile analysis
Big team science
Open and reproducible methods
I am also actively developing skills in:
IRT
Network analysis
Qualtitative research methods
COLLABORATION & SUPERVISION
I enjoy connecting and working with other researchers and am always interested in discussing potential collaborations related to psychological measurement, neurodiversity, statistics education, or meta-science.
I also welcome enquiries from prospective postgraduate researchers interested in pursuing doctoral research in these areas, but please note that I can only take students as their second supervisor, so prospective students should also identify a primary supervisor.
If you would like to discuss a potential project, please get in touch.
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