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Priority Programme "MEAT_REP: A Meta-scientific Programme to Analyse and Optimise Replicability in the Behavioural, Social, and Cognitive Sciences" (SPP 2317)
Termin:
01.01.2022
Fördergeber:
Deutsche Forschungsgemeinschaft (DFG)
In 2020, the Senate of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) has established a new Priority Programme entitled "META-REP: A Meta-scientific Programme to Analyse and Optimise Replicability in the Behavioural, Social, and Cognitive Sciences" (SPP 2317). The programme is designed to run for six years. The present call invites proposals for the first three-year funding period (2021-2024).

The behavioural, social, and cognitive sciences are in the midst of an intensive debate about the replicability of their empirical findings. Shaken by the results of many replication projects that have been conducted in recent years, scholars have begun discussing what replicability actually means and when a replication can be regarded as successful vs. failed, whether low replication rates are caused by too many false positive findings in the literature, methodological weaknesses in the replication studies, measurement issues, and/or the underappreciated influence of contextual effects, and what can be done to effectively and sustainably secure a high level of replicability in the behavioural, social, and cognitive sciences.

The Priority Programme aims to contribute significantly to this debate by
o describing and defining "replication" (including "successful" vs. "failed" replications) across different scientific disciplines (the "what" question),
o explaining why replication rates vary across and within different disciplines (the "why" question), and
o evaluating measures that have been proposed and implemented to increase replication rates (the "how" question).

Contributions by Individual Projects
Regarding the "what" question, individual projects funded by the programme may contribute to achieving these goals by (for instance)
o developing, evaluating, comparing, and refining conceptual, methodological and statistical approaches to estimate reproducibility, robustness, "direct" replicability, and generalisability, respectively, and assess their applicability in their respective scientific discipline; and/or by
o providing a systematic picture of the reproducibility, the robustness, the "direct" replicability, and the generalisability of behavioural, social, and cognitive science findings, while taking a more heterogeneous and representative range of effects and methods - as well as discipline-specific historic and political backgrounds - into account.

Regarding the "why" question, projects may contribute to achieving the programme goals by (for instance)
o systematically documenting and comparing research practices, incentive systems, journal policies, and (implicit and explicit) normative expectations (e.g., publication pressure) in the behavioural, social, and cognitive sciences and their respective impact on replication rates;
o re-analysing data from existing replication projects and meta-analyses (i.e., meta-meta-analysis) with regard to individual- and system-level factors that produce biases in original and/or replication research (e.g., investigating publication bias in publication bias research) as well as the effects of manipulation heterogeneity, measurement invariance, and sample characteristics on the heterogeneity/non-replicability of effects in their respective scientific discipline; and/or
o evaluating the impact of questionable research practices, underspecified theories, design characteristics, and/or invalid measurement models ("pseudo-measurements") on replication rates in their respective scientific discipline using new and/or simulated data.

Regarding the "how" question, projects may contribute to achieving the programme goals by (for instance)
o developing different measures, strategies, and tools and evaluating them with regard to their plausibility, validity, acceptability, feasibility, and their positive (and potentially negative/undesired) effects; and/or
o assessing and evaluating instruments to monitor changes in norms, incentive structures, and scientific practices in their respective scientific discipline (e.g., quality assurance measures in scientific journals, funding agencies, and scientific organisations).

For scientific enquiries please contact the Priority Programme's coordinator:
Prof. Dr. Mario Gollwitzer,
Ludwig-Maximilians-Universität München,
Department Psychologie, Lehrstuhl für Sozialpsychologie,
Leopoldstr. 13, 80802 München,
phone +49 89 2180-5179,
mario.gollwitzer@lmu.de
Questions on the DFG proposal process can be directed to:
Programme contact:
Dr. Tanja Kollei,
phone +49 228 885-2321,
tanja.kollei@dfg.de
Administrative contact:
Petra Winkels,
phone +49 228 885-2393,
petra.winkels@dfg.de

Further Information:
www.dfg.de/foerderung/info_wissenschaft/2020/info_wissenschaft_20_38