Martin Schoemann
Martin Schoemann M.Sc.
Master of Science in Psychology
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Professur für Methoden der Psychologie und kognitive Modellierung
Professur für Methoden der Psychologie und kognitive Modellierung
Visiting address:
Bürogebäude Zellescher Weg (BZW), Room A 323 Zellescher Weg 17
01069 Dresden
Office hours:
Wednesday 13:00 - 14:00 (Please register by e-mail)
Research Interests
- Process Dynamics in Judgement and Decision Making
- Methods of Process Tracing
- Cognitive Modelling (DDM, ABM, DFT)
- Behavior Change in Climate and Health Domains
- Open Science (Open Science Initiative Deparement of Psychology)
Education
- since 2022 Research Associate, Methods of Psychology, Dresden University of Technology (Supervisor: Prof. Dr. Stefan Scherbaum)
- 2020-2022 Research Assistant, Department of Management, Aarhus University (Supervisor: Prof. Jacob L. Orquin)
- 2016-2020 PhD Student und Research Associate, Methods of Psychology, Dresden University of Technology (Supervisor: Prof. Dr. Stefan Scherbaum)
- 2013-2016 Studies of Psychology, University of Erfurt (Degree: Master of Science)
- 2009-2013 Studies of Psychology und Philosophy, University of Erfurt (Degree: Bachelor of Arts)
- 2008-2009 Studies of Engineering, Brandenburg University of Technology, Cottbus
Publications
2024
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A method for measuring consumer confusion due to lookalike labels , 29 Aug 2024, In: International journal of research in marketing : IJRM ; official journal of the European Marketing AcademyElectronic (full-text) versionResearch output: Contribution to journal > Research article
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Prior multisensory learning can facilitate auditory-only voice-identity and speech recognition in noise , 20 Aug 2024, In: Quarterly Journal of Experimental PsychologyElectronic (full-text) versionResearch output: Contribution to journal > Research article
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Choice Repetition Bias in Intertemporal Choice: An Eye-Tracking Study , Jul 2024, In: Journal of behavioral decision making. 37 (2024), 3, 17 p., e2388Electronic (full-text) versionResearch output: Contribution to journal > Research article
2023
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Gute wissenschaftliche Praxis und Open Science im Empiriepraktikum: Wissenschaftlicher Kompetenzerwerb durch Replikationsstudien , 1 Oct 2023, In: Psychologische Rundschau. 74, 4, p. 241-243, 3 p.Electronic (full-text) versionResearch output: Contribution to journal > Editorial (Lead article)
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Mouse‐cursor trajectories reveal reduced contextual influence on decision conflict during delay discounting in anorexia nervosa , Oct 2023, In: International Journal of Eating Disorders. 56, 10, p. 1898-1908, 11 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2022
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Covert attention leads to fast and accurate decision-making , 2022, In: Journal of Experimental Psychology: Applied. 29, 1, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2021
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To stay or not to stay: The stability of choice perseveration in value-based decision making , 2021, In: Quarterly Journal of Experimental Psychology. 74, 1, p. 199-217, 9 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Using mouse cursor tracking to investigate online cognition: Preserving methodological ingenuity while moving toward reproducible science , 2021, In: Psychonomic Bulletin and Review. 28, 3, p. 766-787, 22 p.Electronic (full-text) versionResearch output: Contribution to journal > Review article
2020
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Correction to: Validating mouse-tracking: How design factors influence action dynamics in intertemporal decision making (Behavior Research Methods, (2019), 51, 5, (2356-2377), 10.3758/s13428-018-1179-4) , 1 Feb 2020, In: Behavior research methods. Vol. 52. p. 446, 1 p.Electronic (full-text) versionResearch output: Contribution to specialist publication > Corrections (errata and retractions)
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Changes-of-mind in the absence of new post-decision evidence , 2020, In: PLoS Computational Biology. 16, 2, e1007149Electronic (full-text) versionResearch output: Contribution to journal > Research article
Teachings
- Introduction to psychological research methods
- Introduction to statistics
- Data analysis using R