Matthew Kaesler
Researcher/Data Analyst
School of Public Health
Faculty of Health and Medical Sciences
I am a researcher and data analyst at BetterStart, a research group that aims to generate better evidence to inform policy and practice to improve health, wellbeing and child development outcomes. I work with the linked data platform BEBOLD, which is one of the most comprehensive open cohort linked data platforms of its type in the world. I am interested in statisitical programming and descriptive data visualisation approaches for large linked data sets, particularly in the R language.
My research in psychology examined the effect of sequential lineup presentation on witness memory for perpetrators and their tendency to choose from a lineup. I teach a number of topics in both face-to-face and on campus programs, including statistics, intelligence, and memory.
In my research, I address applied problems using rigorous methods adapted from theoretical research. I am currently working on projects in eyewitness memory, mis/disinformation detection, and conspiracy theory beliefs. I am also generally interested in the problem of how to measure psychological constructs, like the strength of a person's memory, that cannot be directly observed and must be inferred from observed behaviour. I enjoy programming in R and other languages, and I like thinking about probability and statistics and how they are used in psychology.
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Appointments
Date Position Institution name 2024 - ongoing Researcher/Data Analyst University of Adelaide 2022 - 2024 Lecturer University of Adelaide 2022 - 2022 Associate Lecturer University of Adelaide -
Research Interests
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Journals
Year Citation 2024 Kaesler, M., Dunn, J. C., & Semmler, C. (2024). Clarifying the effects of sequential item presentation in the police lineup task. Cognition, 250, 12 pages.
2022 Dunn, J. C., Kaesler, M., & Semmler, C. (2022). A model of position effects in the sequential lineup. Journal of Memory and Language, 122, 13 pages.
Scopus8 WoS42020 Semmler, C. A., Kaesler, M., Dunn, J., & Ransom, K. (2020). Do sequential lineups impair underlying discriminability?. Cognitive Research: Principles and Implications, 5(1), 35-1-35-21.
Scopus15 WoS7 Europe PMC5 -
Conference Items
Year Citation 2019 Kaesler, M. P., Dunn, J. C., Ransom, K., & Semmler, C. (2019). Discriminability and Suspect Position in the Sequential Lineup. Poster session presented at the meeting of Society for Applied Research in Memory and Cognition XIII. Cape Cod, Massachusetts. 2018 Kaesler, M., Dunn, J., & Semmler, C. (2018). Evaluating signal detection models for eyewitness identification. Poster session presented at the meeting of Australian Mathematical Psychology Conference 2018 (AMPC18): program. Perth, Western Australia. -
Software
Year Citation 2018 Semmler, C. A., & Kaesler, M. (2018). R Code for Eyewitness Data (Version 1.0) [Computer Software]. Online: Open Science Framework.
DOI
Bachelor of Psychological Science:
- Psychology IA/IB (teach)
- Perception and Cognition (coordinate and teach)
- Doing Research in Psychology: Advanced (teach)
- Big Picture Psychology (coordinate and teach)
Bachelor of Psychological Science (Hons):
- Research Methods (teach)
Graduate Diploma of Psychology (Online):
- Foundations of Psychology (coordinate)
- Learning and Behaviour (coordinate)
- Perception and Cognition (partial author)
Connect With Me
External Profiles
