The Individual Differences Lab is dedicated to the study of individual differences in humans and machines/AI. Over the years, topics such as intelligence, humour, personality, narcissism, and financial literacy have been investigated, to name a few.
Lead investigator: Associate Professor Gilles Gignac
Current PhD Students (Principal/Coordinating Supervisor)
Zoe Callis
Zoe Callis' program of research is focussed on financial literacy. In particular, investigating its association with intelligence, an effort that has culminated in a comprehensive meta-analysis. Additionally, Zoe is investigating psychometric considerations in the measurement of financial literacy, including the possible negative consequences of including 'don't know' as a response alternative (some evidence suggests such an approach to measurement is biased against women).
Current PhD Students (Co-Supervisor)
Robbie Knox
Current Honours Students (2025)
TBD
Current Collaborators
Alumni - PhD
Dr. Nicolino Ramondo, (2024). Cognitive behavioural therapy and hypnosis in the treatment of major depressive disorder. [PDF]
Dr. Chloe Giffard, (2023). Face identity recognition ability and psychosocial functioning in children and adults. [PDF]
Dr. Dana Walker, (2023). Investigation into the Association between Face Processing Abilities, Intelligence, and Autistic-Like Traits. [PDF]
Dr. Danielle Fynn, (2023). Alexithymia in adults with acquired brain injury: Characterisation, measurement and relationship with emotional outcomes. [PDF]
Dr. Sarah Green, (2023). Evaluating apathy and depression in adults with acquired brain injury.
Dr. Tiarn Burtenshaw, (2022). Understanding the individual differences and situational factors that guide human social learning. [PDF]
Dr. Prue Watson, (2021). Evaluating prospective memory following acquired brain injury in adults: Outcome and rehabilitation. [PDF]
Dr. Natalie Frost, (2021). Intense physical activity, executive function, and related frontal lobe grey matter volume in cognitively normal older adults. [PDF]
Dr. Laura McLaughlin Engfors, (2020). Factors contributing to individual differences in face recognition memory ability. [PDF]
Dr. Iolanda Rodino, (2019). Disordered eating attitudes and behaviours among female patients undergoing fertility treatment: Implications for preconception care. [PDF]
Alumni - Honours (from 2020)
Brodie Wicks (Honours, 2024), Individual differences in susceptibility to the sunk cost fallacy: Predictors and outcomes.
Sebastian Roth (Honours, 2024), Intelligence, financial literacy, cognitive reflection, and grandiose narcissism: Explaining susceptibility to financial scams?
Gabriel Chan (Honours, 2024), Predicting financial literacy and financial anxiety: The interplay of intelligence, motivations, and attitudes
Jay Patel (Honours, 2023), Navigating maladaptive narcissism: Unraveling the impact of intelligence and life satisfaction
Elizabeth Stevens (Honours, 2023), Uncovering financial literacy: The interplay between intelligence, need for cognition and numerical anxiety.
Chloe Vanderbilt (Honours, 2023), Money matters, but not always directly: The indirect effect of financial literacy on general wellbeing.
Chloe Jones (Honours, 2022), Financial literacy, intelligence, and money values as predictors of attitudes towards cryptocurrencies.
Natalie Mason (Honours, 2022), I’ll be a Bitcoin billionaire!: Narcissism, ability overestimation, and cryptocurrency investment.
Isabelle Yuen (Honours, 2022), Intelligence, financial literacy, money values, and delay discounting as individual differences and predictors of financial wellbeing.
Campbell Arthur, (Honours, 2021). Metacognition and grandiose narcissism in financial literacy.
Holden A. Ellis, (Honours, 2021). Intelligence, openness to experience, and money values as predictors of financial literacy.
Sara A. Hoang, (Honours, 2021). Financial literacy and self-efficacy as predictors of financial well-being amongst university students in Australia.
Tannith Lilford, (Honours, 2020). The correspondence between self-assessed and objectively measured face recognition ability.
Ethan Smith, (Honours, 2020). Face processing ability and the broader autistic phenotype: What are the unique predictors of trait-autism?
