Science and Technology Production
Assessing the degree of ecological validity of your study: Introducing the Multidimensional Assessment of Research in Context (MARC) Tool

Article

Authorship
DE LA FUENTE DE LA TORRE, LAURA ALETHIA ; Naumann S ; Michelle L. Byrne ; Anita Harrewijn ; Tehila Nugiel ; Maya Rosen ; Nienke van Atteveldt ; Pawel J. Matusz
Date
2022
Publishing House and Editing Place
Wiley
Magazine
Mind, Brain, and Education Wiley
Summary Information provided by the agent in SIGEVA
In cognitive neurosciences, fundamental principles of mental processes and functional brain organization have been established with highly controlled tasks and testing environments. Recent technical advances allowed the investigation of these functions and their brain mechanisms in naturalistic settings. The diversity in those approaches has been recently (Matusz et al. 2019a) classified via a three-category cycle including controlled laboratory, partially naturalistic laboratory, and naturalis... In cognitive neurosciences, fundamental principles of mental processes and functional brain organization have been established with highly controlled tasks and testing environments. Recent technical advances allowed the investigation of these functions and their brain mechanisms in naturalistic settings. The diversity in those approaches has been recently (Matusz et al. 2019a) classified via a three-category cycle including controlled laboratory, partially naturalistic laboratory, and naturalistic real-world research. Based on this model, we developed the Multidimensional Assessment of Research in Context (MARC) tool to easily delineate the approach researchers have taken in their study. MARC provides means to describe the degree of ecological validity for each component of a study (e.g. sample, location, stimuli, measures, etc.) and the study?s location on the cycle. The tool comprises seven questions concerning a study?s characteristics. It outputs a summary of those and a compass plot, which can be used for presentations, pre-registration, grant proposals, and papers. It aims to improve drawing conclusions across studies, and raise awareness about generalizability of research findings.
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Key Words
ethologicalecological validitynaturalistic