Navigating the garden of forking paths for data exclusions in fear conditioning research

Author:

Lonsdorf Tina B1ORCID,Klingelhöfer-Jens Maren1,Andreatta Marta23ORCID,Beckers Tom4ORCID,Chalkia Anastasia4ORCID,Gerlicher Anna5,Jentsch Valerie L6ORCID,Meir Drexler Shira6ORCID,Mertens Gaetan7,Richter Jan8ORCID,Sjouwerman Rachel1,Wendt Julia9ORCID,Merz Christian J6ORCID

Affiliation:

1. Department of Systems Neuroscience, University Medical Center Hamburg Eppendorf, Hamburg, Germany

2. Department of Psychology, Biological Psychology, Clinical Psychology and Psychotherapy, University of Würzburg, Würzburg, Germany

3. Instutute of Psychology, Education & Child Studies, Erasmus University Rotterdam, Rotterdam, Netherlands

4. Centre for the Psychology of Learning and Experimental Psychopathology and Leuven Brain Institute, KU Leuven, Leuven, Belgium

5. Faculty of Social and Behavioural Sciences, Programme group Clinical Psychology, University of Amsterdam, Amsterdam, Netherlands

6. Institute of Cognitive Neuroscience, Department of Cognitive Psychology, Ruhr University Bochum, Bochum, Germany

7. Department of Psychology, Utrecht University, Utrecht, Netherlands

8. Department of Physiological and Clinical Psychology/Psychotherapy, University of Greifswald, Greifswald, Germany

9. Biological Psychology and Affective Science, University of Potsdam, Potsdam, Germany

Abstract

In this report, we illustrate the considerable impact of researcher degrees of freedom with respect to exclusion of participants in paradigms with a learning element. We illustrate this empirically through case examples from human fear conditioning research, in which the exclusion of ‘non-learners’ and ‘non-responders’ is common – despite a lack of consensus on how to define these groups. We illustrate the substantial heterogeneity in exclusion criteria identified in a systematic literature search and highlight the potential problems and pitfalls of different definitions through case examples based on re-analyses of existing data sets. On the basis of these studies, we propose a consensus on evidence-based rather than idiosyncratic criteria, including clear guidelines on reporting details. Taken together, we illustrate how flexibility in data collection and analysis can be avoided, which will benefit the robustness and replicability of research findings and can be expected to be applicable to other fields of research that involve a learning element.

Funder

Deutsche Forschungsgemeinschaft

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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