Data Triangulation in Consumer Neuroscience: Integrating Functional Neuroimaging With Meta-Analyses, Psychometrics, and Behavioral Data
AffiliationUniv Arizona, Dept Mkt
MetadataShow full item record
PublisherFRONTIERS MEDIA SA
CitationCao, C. C., & Reimann, M. (2020). Data Triangulation in Consumer Neuroscience: Integrating Functional Neuroimaging With Meta-Analyses, Psychometrics, and Behavioral Data. Frontiers in Psychology, 11.
JournalFRONTIERS IN PSYCHOLOGY
RightsCopyright © 2020 Cao and Reimann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractThis article reviews a wide range of functional magnetic resonance imaging (fMRI) studies conducted in the field of consumer neuroscience to (1) highlight common interpretative approaches of neuroimaging data (i.e., forward inference and reverse inference), (2) discuss potential interpretative issues associated with these approaches, and (3) provide a framework that employs a multi-method approach aimed to possibly raise the explanatory power and, thus, the validity of functional neuroimaging research in consumer neuroscience. Based on this framework, we argue that the validity of fMRI studies can be improved by the triangulation of (1) careful design of neuroimaging studies and analyses of data, (2) meta-analyses, and (3) the integration of psychometric and behavioral data with neuroimaging data. Guidelines on when and how to employ triangulation methods on neuroimaging data are included. Moreover, we also included discussions on practices and research directions that validate fMRI studies in consumer neuroscience beyond data triangulation.
NoteOpen access journal
VersionFinal published version
Except where otherwise noted, this item's license is described as Copyright © 2020 Cao and Reimann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
- Neuroimaging of individual differences: A latent variable modeling perspective.
- Authors: Cooper SR, Jackson JJ, Barch DM, Braver TS
- Issue date: 2019 Mar
- The Application of Mobile fNIRS in Marketing Research-Detecting the "<i>First-Choice-Brand"</i> Effect.
- Authors: Krampe C, Gier NR, Kenning P
- Issue date: 2018
- Neuroimaging of learning and development: improving ecological validity.
- Authors: van Atteveldt N, van Kesteren MTR, Braams B, Krabbendam L
- Issue date: 2018
- Understanding Youth Antisocial Behavior Using Neuroscience through a Developmental Psychopathology Lens: Review, Integration, and Directions for Research.
- Authors: Hyde LW, Shaw DS, Hariri AR
- Issue date: 2013 Sep 1
- Toward Robust Functional Neuroimaging Genetics of Cognition.
- Authors: Uddén J, Hultén A, Bendtz K, Mineroff Z, Kucera KS, Vino A, Fedorenko E, Hagoort P, Fisher SE
- Issue date: 2019 Oct 30