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SubmittedOpen Access (License Unspecified), Open
Journal article
Diversity, equity, and inclusivity in observational ambulatory assessment: Recommendations from two decades of Electronically Activated Recorder (EAR) research
Behavior research methods, v 56(4), pp 3207-3225
01 Jun 2024
PMID: 38066394
Abstract
Ambient audio sampling methods such as the Electronically Activated Recorder (EAR) have become increasingly prominent in clinical and social sciences research. These methods record snippets of naturalistically assessed audio from participants' daily lives, enabling novel observational research about the daily social interactions, identities, environments, behaviors, and speech of populations of interest. In practice, these scientific opportunities are equaled by methodological challenges: researchers' own cultural backgrounds and identities can easily and unknowingly permeate the collection, coding, analysis, and interpretation of social data from daily life. Ambient audio sampling poses unique and significant challenges to cultural humility, diversity, equity, and inclusivity (DEI) in scientific research that require systematized attention. Motivated by this observation, an international consortium of 21 researchers who have used ambient audio sampling methodologies created a workgroup with the aim of improving upon existing published guidelines. We pooled formally and informally documented challenges pertaining to DEI in ambient audio sampling from our collective experience on 40+ studies (most of which used the EAR app) in clinical and healthy populations ranging from children to older adults. This article presents our resultant recommendations and argues for the incorporation of community-engaged research methods in observational ambulatory assessment designs looking forward. We provide concrete recommendations across each stage typical of an ambient audio sampling study (recruiting and enrolling participants, developing coding systems, training coders, handling multi-linguistic participants, data analysis and interpretation, and dissemination of results) as well as guiding questions that can be used to adapt these recommendations to project-specific constraints and needs.
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- Title
- Diversity, equity, and inclusivity in observational ambulatory assessment: Recommendations from two decades of Electronically Activated Recorder (EAR) research
- Creators
- Deanna M Kaplan - Emory UniversityColin A Tidwell - University of ArizonaJoanne M Chung - University of TorontoEva Alisic - The University of MelbourneBurcu Demiray - University of ZurichMichelle Bruni - University of California, RiversideSelena Evora - Brown UniversityJulia A Gajewski-Nemes - University of PittsburghAlessandra Macbeth - Azusa Pacific UniversityShaminka N Mangelsdorf - Orygen Youth HealthJennifer S Mascaro - Emory UniversityKyle S Minor - Indiana University – Purdue University IndianapolisRebecca N Noga - University of North Carolina at Chapel HillNicole R Nugent - Brown UniversityAngelina J Polsinelli - Indiana University School of MedicineKelly E Rentscher - Medical College of WisconsinAnnie W Resnikoff - Drexel University, Psychological and Brain Sciences (Psychology)Megan L Robbins - University of California, RiversideRichard B Slatcher - University of GeorgiaAlma B Tejeda-Padron - University of ArizonaMatthias R Mehl - University of Arizona
- Publication Details
- Behavior research methods, v 56(4), pp 3207-3225
- Grant note
- R01 MH108641 / NIMH NIH HHS R01 AG078361 / NIA NIH HHS R01 MH125414 / NIMH NIH HHS R01 CA262719 / NCI NIH HHS T32 ES007018 / NIEHS NIH HHS R56 AG068098 / NIA NIH HHS R01 MH105379 / NIMH NIH HHS R01 HD104187 / NICHD NIH HHS K01 AG065485 / NIA NIH HHS F32 HL154751 / NHLBI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology); A.J. Drexel Autism Institute
- Web of Science ID
- WOS:001116548000001
- Scopus ID
- 2-s2.0-85178967263
- Other Identifier
- 991021860733704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Psychology, Experimental
- Psychology, Mathematical