Liebe Kolleg/-innen,
auf diesem Wege möchten wir Sie gerne auf e...
[Erweitern]Liebe Kolleg/-innen,
auf diesem Wege möchten wir Sie gerne auf einen Call for Papers für einen Special Issue zum Thema „Non-confirmatory research in Cognitive Neuroscience“ in Cortex hinweisen. Presubmission enquiries können bis zum 31.03.2022 eingereicht werden; der Einreichungsschluss für die vollständigen Manuskripte ist der 31.12.2022.
Weitere Informationen finden Sie weiter unten sowie unter diesem Link: https://www.journals.elsevier.com/cortex/call-for-papers/special-issue-on-non-confirmatory-research-in-cognitive-neuroscience
Wir würden uns sehr freuen, wenn Sie passende Beiträge einreichen. Gerne können Sie den Call for Papers auch an interessierte Personen weiterleiten.
Herzliche Grüße
Daniel Mirman, Robert McIntosh, Anne Scheel und Anna-Lena Schubert
#### Call for Papers ####
Progress in Cognitive Neuroscience, as in other fields, needs to be built on non-confirmatory research that establishes concepts, methods, and phenomena, as well as on confirmatory hypothesis-testing. The science reform movement has focused largely on improving the hypothesis-testing mode, with less emphasis on foundational activities, such as defining concepts, developing valid measures and manipulations, and testing auxiliary assumptions. Neglecting such foundational steps jeopardizes the validity of subsequent hypothesis-testing, and increases the risk of researchers talking past each other (Scheel et al., 2021). This Special Issue aims to stimulate and showcase high-quality non-confirmatory research that builds knowledge for sound substantive inferences.
We are seeking rigorous contributions for non-confirmatory research activities that are foundational for the field, such as: (1) definition and refinement of key concepts; (2) development and validation of measures and manipulations; and (3) examination of preprocessing and analysis pipelines. Empirical submissions using new or existing data will be published within the Exploratory Reports article format (Mcintosh, 2017), or as a Registered Report if appropriate (Chambers, 2013). Contributions to the first two themes may alternatively take the form of Reviews. We particularly welcome consensus or adversarial collaborations from diverse groups of authors, but will also consider submissions from narrower teams.
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