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.
Similar content being viewed by others
Data Availability
Methods resources (e.g., sample coding systems, sample informed consent documents, sample coding and transcription guidelines) accompanying this manuscript may be found on the Open Science Framework EAR repository at: https://osf.io/n2ufd/wiki/home/.
References
Ahmad, A. S., Sabat, I., Trump-Steele, R., & King, E. (2019). Evidence-based strategies for improving diversity and inclusion in undergraduate research labs. Frontiers in Psychology, 10, 1305.
Alisic, E., Barrett, A., Bowles, P., Babl, F. E., Conroy, R., McClure, R. J., Anderson, V., & Mehl, M. R. (2015). Ear for recovery: Protocol for a prospective study on parent–child communication and psychological recovery after paediatric injury. BMJ Open, 5(2), e007393. https://doi.org/10.1136/bmjopen-2014-007393
Alter, G., & Gonzalez, R. (2018). Responsible practices for data sharing. The American Psychologist, 73(2), 146–156. https://doi.org/10.1037/amp0000258
Appelbaum, M., Cooper, H., Kline, R. B., Mayo-Wilson, E., Nezu, A. M., & Rao, S. M. (2018). Journal article reporting standards for quantitative research in psychology: The APA Publications and Communications Board task force report. American Psychologist, 73(1), 3.
Atherton, O. E., Chung, J. M., Harris, K., Rohrer, J. M., Condon, D. M., Cheung, F., Vazire, S., Lucas, R. E., Donnellan, M. B., Mroczek, D. K., Soto, C. J., Antonoplis, S., Damian, R. I., Funder, D. C., Srivastava, S., Fraley, R. C., Jach, H., Roberts, B. W., Smillie, L. D., …, Corker, K. S. (2021). Why has personality psychology played an outsized role in the credibility revolution? Personality Science, 2, 1–21. https://doi.org/10.5964/ps.6001
Balhara, K. S., Weygandt, P. L., Ehmann, M. R., & Regan, L. (2021). Navigating bias on interview day: Strategies for charting an inclusive and equitable course. Journal of Graduate Medical Education, 13(4), 466–470.
Banas, J. R., Magasi, S., The, K., & Victorson, D. E. (2019). Recruiting and retaining people with disabilities for qualitative health research: Challenges and solutions. Qualitative Health Research, 29(7), 1056–1064.
Bolukbasi, T., Chang, K.-W., Zou, J. Y., Saligrama, V., & Kalai, A. T. (2016). Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. Advances in Neural Information Processing Systems, 29.
Braun, V., & Clarke, V. (2023). Is thematic analysis used well in health psychology? A critical review of published research, with recommendations for quality practice and reporting. Health Psychology Review, 1–24. https://doi.org/10.1080/17437199.2022.2161594
Buchanan, N. T., Perez, M., Prinstein, M. J., & Thurston, I. B. (2021). Upending racism in psychological science: Strategies to change how science is conducted, reported, reviewed, and disseminated. American Psychologist, 76, 1097–1112. https://doi.org/10.1037/amp0000905
Burkhardt, L. (2021). Psychology and Cultural Humility Toolkit.
Caliskan, A., Bryson, J. J., & Narayanan, A. (2017). Semantics derived automatically from language corpora contain human-like biases. Science, 356(6334), 183–186.
Chowdhary, K. (2020). Natural language processing. Fundamentals of Artificial Intelligence, pp 603–649.
Chung, J. M., Meijer, L., Zonneveld, R., Al Sawaf, Z., Alajak, K., Moopen, N., Rahim, H., Çiftçi, L., Alisic, E., & Stellar, J. E. (2022). Lessons learned from conducting a study of emotions and positive personality change in Syrian origin young adults who have recently resettled in the Netherlands. European Journal of Personality, 36(4), 665–682.
Collins, S. E., Clifasefi, S. L., Stanton, J., Straits, K. J. E., Espinosa, P. R., Andrasik, M. P., Miller, K. A., Orfaly, V. E., Gil-Kashiwabara, E., Nicasio, A. V., Hawes, S. M., Nelson, L. A., Duran, B. M., & Wallerstein, N. (2018). Community-based Participatory Research (CBPR): Towards equitable involvement of community in psychology research. The American Psychologist, 73(7), 884–898. https://doi.org/10.1037/amp0000167
Cornell University. (2021). Cultural Humility Training. Center for Cultural Humility https://humility.cornell.edu/cultural-humility-training/. Accessed May 2023.
Cristia, A., Lavechin, M., Scaff, C., Soderstrom, M., Rowland, C., Räsänen, O., Bunce, J., & Bergelson, E. (2020). A thorough evaluation of the Language Environment Analysis (LENA) system. Behavior Research Methods. https://doi.org/10.3758/s13428-020-01393-5
Cychosz, M., Romeo, R., Soderstrom, M., Scaff, C., Ganek, H., Cristia, A., Casillas, M., de Barbaro, K., Bang, J. Y., & Weisleder, A. (2020). Longform recordings of everyday life: Ethics for best practices. Behavior Research Methods. https://doi.org/10.3758/s13428-020-01365-9
Demiray, B., Luo, M., Tejeda-Padron, A., & Mehl, M. R. (2020). Sounds of healthy aging: Assessing everyday social and cognitive activity from ecologically sampled ambient audio data. In P. L. Hill & M. Allemand (Eds.), Personality and healthy aging in adulthood: New directions and techniques (pp. 111–132). Springer International Publishing. https://doi.org/10.1007/978-3-030-32053-9_8
Drosou, M., Jagadish, H. V., Pitoura, E., & Stoyanovich, J. (2017). Diversity in big data: A review. Big Data, 5(2), 73–84.
Dubey, H., Mehl, M. R., & Mankodiya, K. (2016). Bigear: Inferring the ambient and emotional correlates from smartphone-based acoustic big data. In: 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp 78–83.
Edwards, S., & Baska, R. (2020). Cultural Humility and Beyond within Your Own Context. A Practice Beyond Cultural Humility (pp. 236–241). Routledge.
English, D., Lambert, S. F., Tynes, B. M., Bowleg, L., Zea, M. C., & Howard, L. C. (2020). Daily multidimensional racial discrimination among Black US American adolescents. Journal of Applied Developmental Psychology, 66, 101068.
Frank, L., Basch, E., Selby, J. V., & Institute, P.-C.O.R. (2014). The PCORI perspective on patient-centered outcomes research. JAMA, 312(15), 1513–1514.
Gallardo, M. E. (2013). Developing cultural humility: Embracing race, privilege and power. Sage Publications.
George, S., Duran, N., & Norris, K. (2014). A systematic review of barriers and facilitators to minority research participation among African Americans, Latinos, Asian Americans, and Pacific Islanders. American Journal of Public Health, 104(2), e16–e31.
Grant, S. P., Mayo-Wilson, E., Melendez-Torres, G. J., & Montgomery, P. (2013). Reporting quality of social and psychological intervention trials: A systematic review of reporting guidelines and trial publications. PloS One, 8(5), e65442.
Greenwald, A. G., & Krieger, L. H. (2006). Implicit bias: Scientific foundations. California Law Review, 94(4), 945–967.
Gross, D., & Fogg, L. (2001). Clinical trials in the 21st century: The case for participant-centered research. Research in Nursing & Health, 24(6), 530–539. https://doi.org/10.1002/nur.10010
Hardy, L. J., Hughes, A., Hulen, E., Figueroa, A., Evans, C., & Begay, R. C. (2016). Hiring the experts: Best practices for community-engaged research. Qualitative Research, 16(5), 592–600.
Hebbar, R., Papadopoulos, P., Reyes, R., Danvers, A. F., Polsinelli, A. J., Moseley, S. A., Sbarra, D. A., Mehl, M. R., & Narayanan, S. (2021). Deep multiple instance learning for foreground speech localization in ambient audio from wearable devices. EURASIP Journal on Audio, Speech, and Music Processing, 2021(1), 7.
Holmes, A. G. D. (2020). Researcher positionality–A consideration of its influence and place in qualitative research–A new researcher guide. Shanlax International Journal of Education, 8(4), 1–10.
Iida, M., Seidman, G., & Shrout, P. E. (2018). Models of interdependent individuals versus dyadic processes in relationship research. Journal of Social and Personal Relationships, 35(1), 59–88.
ilumivu. (2019). How we work. Ilumivu https://ilumivu.com/2019/09/how-we-work/. Accessed May 2023.
Joseph, N. T., Peterson, L. M., Gordon, H., & Kamarck, T. W. (2021). The double burden of racial discrimination in daily-life moments: Increases in negative emotions and depletion of psychosocial resources among emerging adult African Americans. Cultural Diversity and Ethnic Minority Psychology, 27(2), 234.
Kaplan, D. M., Rentscher, K. E., Lim, M., Reyes, R., Keating, D., Romero, J., Shah, A., Smith, A. D., York, K. A., Milek, A., Tackman, A. M., & Mehl, M. R. (2020). Best practices for Electronically Activated Recorder (EAR) research: A practical guide to coding and processing EAR data. Behavior Research Methods. https://doi.org/10.3758/s13428-019-01333-y
Kaplan, D. M., Hughes, C. D., Schatten, H. T., Mehl, M. R., Armey, M. F., & Nugent, N. R. (2022). Emotional change in its “natural habitat”: Measuring everyday emotion regulation with passive and active ambulatory assessment methods. Journal of Psychotherapy Integration.
Kaplan, D. M., Mehl, M. R., Pace, T. W., Negi, L. T., Silva, B. O., Lavelle, B. D., Sivilli, T., Williams, A., Comstock, T., & Price, B. (2022). Implications of a “null” randomized controlled trial of mindfulness and compassion interventions in healthy adults. Mindfulness, 1–17.
Kaplan, D. M. (2022). Social-ecological measurement of daily life: How relationally focused ambulatory assessment can advance clinical intervention science. Review of General Psychology, 10892680221142802.
Karan, A., Wright, R. C., & Robbins, M. L. (2017). Everyday emotion word and personal pronoun use reflects dyadic adjustment among couples coping with breast cancer. Personal Relationships, 24(1), 36–48.
Kennedy, B., Ashokkumar, A., Boyd, R. L., & Dehghani, M. (2022). Text analysis for psychology: Methods, principles, and practices. Handbook of language analysis in psychology (pp. 3–62). The Guilford Press.
Kenny, D. A., Kashy, D. A., & Cook, W. L. (2020). Dyadic data analysis. Guilford Publications.
Koops, S., Brederoo, S. G., de Boer, J. N., Nadema, F. G., Voppel, A. E., & Sommer, I. E. (2023). Speech as a biomarker for depression. CNS & Neurological Disorders-Drug Targets(Formerly Current Drug Targets-CNS & Neurological Disorders), 22(2), 152–160.
Kučera, D., & Mehl, M. R. (2022). Beyond English: Considering language and culture in automatic text analysis. Frontiers in Psychology, 838.
Lalor, J. P., Yang, Y., Smith, K., Forsgren, N., & Abbasi, A. (2022). Benchmarking intersectional biases in NLP. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp 3598–3609.
Leavy, S. (2019). Uncovering gender bias in newspaper coverage of Irish politicians using machine learning. Digital Scholarship in the Humanities, 34(1), 48–63.
Ledesma, M. C., & Calderón, D. (2015). Critical race theory in education: A review of past literature and a look to the future. Qualitative Inquiry, 21(3), 206–222.
Lee, R. T., Perez, A. D., Boykin, C. M., & Mendoza-Denton, R. (2019). On the prevalence of racial discrimination in the United States. PloS One, 14(1), e0210698.
Lekas, H.-M., Pahl, K., & Fuller Lewis, C. (2020). Rethinking cultural competence: Shifting to cultural humility. Health Services Insights, 13, 1178632920970580.
Levitt, H. M. (2020). Reporting qualitative research in psychology: How to meet APA style journal article reporting standards. American Psychological Association.
Levitt, H. M., Bamberg, M., Creswell, J. W., Frost, D. M., Josselson, R., & Suárez-Orozco, C. (2018). Journal article reporting standards for qualitative primary, qualitative meta-analytic, and mixed methods research in psychology: The APA Publications and Communications Board task force report. American Psychologist, 73(1), 26.
Li, C., Zhang, Y., Weng, Y., Wang, B., & Li, Z. (2023). Natural language processing applications for computer-aided diagnosis in oncology. Diagnostics, 13(2), 286.
Livingston, N. A., Flentje, A., Heck, N. C., Szalda-Petree, A., & Cochran, B. N. (2017). Ecological momentary assessment of daily discrimination experiences and nicotine, alcohol, and drug use among sexual and gender minority individuals. Journal of Consulting and Clinical Psychology, 85(12), 1131.
Livingston, N. A., Flentje, A., Brennan, J., Mereish, E. H., Reed, O., & Cochran, B. N. (2020). Real-time associations between discrimination and anxious and depressed mood among sexual and gender minorities: The moderating effects of lifetime victimization and identity concealment. Psychology of Sexual Orientation and Gender Diversity, 7(2), 132.
Lucero, J. E., Wright, K. E., & Reese, A. (2017). Trust development in CBPR partnerships. Community-Based Participatory Research for Health: Advancing Social and Health Equity, 61–76.
Luger, T. M., Hamilton, A. B., & True, G. (2020). Measuring community-engaged research contexts, processes, and outcomes: A mapping review. The Milbank Quarterly, 98(2), 493–553.
Macbeth, A., Bruni, M. R., De La Cruz, B., Erens, J. A., Atagi, N., Robbins, M. L., Chiarello, C., & Montag, J. L. (2022). Using the Electronically Activated Recorder (EAR) to capture the day-to-day linguistic experiences of young adults. Collabra: Psychology, 8(1), 36310.
Mangelsdorf, S. N., Conroy, R., Mehl, M. R., Norton, P. J., & Alisic, E. (2019). Listening to family life after serious pediatric injury: A study of four cases. Family Process, n/a(n/a). https://doi.org/10.1111/famp.12490
Manson, J. H., & Robbins, M. L. (2017). New evaluation of the Electronically Activated Recorder (EAR): Obtrusiveness, compliance, and participant self-selection effects. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.00658
Mascaro, J. S., Rentscher, K. E., Hackett, P. D., Mehl, M. R., & Rilling, J. K. (2017). Child gender influences paternal behavior, language, and brain function. Behavioral Neuroscience, 131(3), 262.
Mayo-Gamble, T. L., Cunningham-Erves, J., Kas-Osoka, C., Johnson, G. W., Frazier, N., & Joosten, Y. (2022). A multiperspective on the broad dissemination of research findings to past research participants and the community-at-large. Translational Behavioral Medicine, 12(1), ibab095.
McGorray, E. L., Emery, L. F., Garr-Schultz, A., & Finkel, E. J. (2023). “Mostly White, heterosexual couples”: Examining demographic diversity and reporting practices in relationship science research samples. Journal of Personality and Social Psychology.
Mehl, M. R. (2017). The Electronically Activated Recorder (EAR): A method for the naturalistic observation of daily social behavior. Current Directions in Psychological Science, 26(2), 184–190. https://doi.org/10.1177/0963721416680611
Mehl, M. R., Pennebaker, J. W., Crow, D. M., Dabbs, J., & Price, J. H. (2001). The Electronically Activated Recorder (EAR): A device for sampling naturalistic daily activities and conversations. Behavior Research Methods, Instruments, & Computers, 33(4), 517–523.
Melvin, C. L., Harvey, J., Pittman, T., Gentilin, S., Burshell, D., & Kelechi, T. (2020). Communicating and disseminating research findings to study participants: Formative assessment of participant and researcher expectations and preferences. Journal of Clinical and Translational Science, 4(3), 233–242.
Metcalf, C. A., & Dimidjian, S. (2020). In a mother’s voice: Observing social–emotional aspects of postpartum daily life. Journal of Family Psychology, 34(3), 269–278. https://doi.org/10.1037/fam0000587
Mfutso-Bengo, J., Ndebele, P., & Masiye, F. (2008). Disseminating research results to research participants and their communities. Malawi Medical Journal, 20(2), 64–66.
Micheletti, M., de Barbaro, K., Fellows, M. D., Hixon, J. G., Slatcher, R. B., & Pennebaker, J. W. (2020). Optimal sampling strategies for characterizing behavior and affect from ambulatory audio recordings. Journal of Family Psychology, 34(8), 980.
Minor, K. S., Marggraf, M. P., Davis, B. J., Mickens, J. L., Abel, D. B., Robbins, M. L., Buck, K. D., Wiehe, S. E., & Lysaker, P. H. (2021). Personalizing interventions using real-world interactions: Improving symptoms and social functioning in schizophrenia with tailored metacognitive therapy. Journal of Consulting and Clinical Psychology.
Morgan, L. L., Fahs, P. S., & Klesh, J. (2005). Barriers to research participation identified by rural people. Journal of Agricultural Safety and Health, 11(4), 407–414.
Murton, O. M., Dec, G. W., Hillman, R. E., Majmudar, M. D., Steiner, J., Guttag, J. V., & Mehta, D. D. (2023). Acoustic voice and speech biomarkers of treatment status during hospitalization for acute decompensated heart failure. Applied Sciences, 13(3), 1827.
Nadkarni, P. M., Ohno-Machado, L., & Chapman, W. W. (2011). Natural language processing: An introduction. Journal of the American Medical Informatics Association, 18(5), 544–551. https://doi.org/10.1136/amiajnl-2011-000464
Narayanan, S., & Georgiou, P. G. (2013). Behavioral signal processing: Deriving human behavioral informatics from speech and language. Proceedings of the IEEE, 101(5), 1203–1233.
Newman, S. D., Andrews, J. O., Magwood, G. S., Jenkins, C., Cox, M. J., & Williamson, D. C. (2011). Peer reviewed: Community advisory boards in community-based participatory research: A synthesis of best processes. Preventing Chronic Disease, 8(3).
Nugent, N. R., Armey, M., Boker, S., Brick, L., Knopik, V., McGeary, J. E., Spirito, A., & Mehl, M. R. (2022). Adolescents hospitalised for suicidality: Biomarkers, social and affective predictors: A cohort study. BMJ Open, 12(10), e056063.
O’Hara, K. L., Mehl, M. R., & Sbarra, D. A. (2023). Spinning your wheels: Psychological overinvolvement and actigraphy-assessed sleep efficiency following marital separation. International Journal of Behavioral Medicine, 30(3), 307–319.
Ong, A. D., & Burrow, A. L. (2018). Affective reactivity to daily racial discrimination as a prospective predictor of depressive symptoms in African American graduate and postgraduate students. Development and Psychopathology, 30(5), 1649–1659.
Ong, A. D., Cerrada, C., Lee, R. A., & Williams, D. R. (2017). Stigma consciousness, racial microaggressions, and sleep disturbance among Asian Americans. Asian American Journal of Psychology, 8(1), 72.
Osborne, M., Omrani, A., & Dehghani, M. (2022). The sins of the parents are to be laid upon the children: Biased humans, biased data, biased models. PsyArXiv. https://doi.org/10.31234/osf.io/4eqnk
Ozer, E. J. (2017). Youth-led participatory action research: Overview and potential for enhancing adolescent development. Child Development Perspectives, 11(3), 173–177. https://doi.org/10.1111/cdep.12228
Panesar, A. (2023). Artificial intelligence and machine learning in precision health. Precision health and artificial intelligence: With privacy, ethics, bias, health equity, best practices, and case studies (pp. 67–85). Springer.
Parker, J. N., Hunter, A. S., Bauermeister, J. A., Bonar, E. E., Carrico, A., & Stephenson, R. (2021). Comparing social media and in-person recruitment: Lessons learned from recruiting substance-using, sexual and gender minority adolescents and young adults for a randomized control trial. JMIR Public Health and Surveillance, 7(12), e31657.
Robbins, M. L. (2017). Practical suggestions for legal and ethical concerns with social environment sampling methods. Social Psychological and Personality Science, 8(5), 573–580.
Robbins, M. L., López, A. M., Weihs, K. L., & Mehl, M. R. (2014). Cancer conversations in context: Naturalistic observation of couples coping with breast cancer. Journal of Family Psychology: JFP: Journal of the Division of Family Psychology of the American Psychological Association (Division 43), 28(3), 380–390. https://doi.org/10.1037/a0036458
Robbins, M. L., Wright, R. C., MaríaLópez, A., & Weihs, K. (2019). Interpersonal positive reframing in the daily lives of couples coping with breast cancer. Journal of Psychosocial Oncology, 37(2), 160–177.
Robbins, M. L., Karan, A., & Randall, A. K. (2021). Initial examination of social compensation and honing frameworks for sexual minority social life and well-being. Journal of Social and Personal Relationships, 38(1), 301–321.
Robbins, M. L., Wright, R. C., Karan, A., & Baranski, E. (2016). EAR Repository. Retrieved August 1, 2016.
Robbins, M., Wright, R. C., Karan, A., & Baranski, E. (2022, May 19). Open Science Framework EAR Repository. osf.io/n2ufd
Roberts, S. O., Bareket-Shavit, C., Dollins, F. A., Goldie, P. D., & Mortenson, E. (2020). Racial inequality in psychological research: Trends of the past and recommendations for the future. Perspectives on Psychological Science, 15(6), 1295–1309.
Sankaré, I. C., Bross, R., Brown, A. F., Del Pino, H. E., Jones, L. F., Morris, D. M., Porter, C., Lucas-Wright, A., Vargas, R., & Forge, N. (2015). Strategies to build trust and recruit African American and Latino community residents for health research: A cohort study. Clinical and Translational Science, 8(5), 412–420.
Sap, M., Card, D., Gabriel, S., Choi, Y., & Smith, N. A. (2019). The risk of racial bias in hate speech detection. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp 1668–1678.
Schindler, D., Spors, S., Demiray, B., & Krüger, F. (2022). Automatic behavior assessment from uncontrolled everyday audio recordings by deep learning. Sensors, 22(22), 8617.
Schueller, S. M., Aguilera, A., & Mohr, D. C. (2017). Ecological momentary interventions for depression and anxiety. Depression and Anxiety, 34(6), 540–545.
Slavich, G. M. (2020). Social safety theory: A biologically based evolutionary perspective on life stress, health, and behavior. Annual Review of Clinical Psychology, 16, 265–295.
Soyster, P. D., Bosley, H. G., Reeves, J. W., Altman, A. D., & Fisher, A. J. (2019). Evidence for the feasibility of person-specific ecological momentary assessment across diverse populations and study designs. Journal for Person-Oriented Research, 5(2), 53.
Stewart, M. K., Boateng, B., Joosten, Y., Burshell, D., Broughton, H., Calhoun, K., Davis, A. H., Hale, R., Spencer, N., & Piechowski, P. (2019). Community advisory boards: Experiences and common practices of clinical and translational science award programs. Journal of Clinical and Translational Science, 3(5), 218–226.
Stoyanovich, J., Abiteboul, S., & Miklau, G. (2016). Data, responsibly: Fairness, neutrality and transparency in data analysis. International Conference on Extending Database Technology.
Sue, D. W., Capodilupo, C. M., Torino, G. C., Bucceri, J. M., Holder, A., Nadal, K. L., & Esquilin, M. (2007). Racial microaggressions in everyday life: Implications for clinical practice. American Psychologist, 62(4), 271.
Swanson, G. M., & Ward, A. J. (1995). Recruiting minorities into clinical trials toward a participant-friendly system. JNCI Journal of the National Cancer Institute, 87(23), 1747–1759.
Tidwell, C. A., Kaplan, D. M., Galione, J., Dominguez, E. V., Mullick, K., Nugent, N. R., & Mehl, M. R. (2021). An analysis of everyday conversations among a sample of LGBTQ+ Youth after in-patient care for suicidality. Association for Behavioral and Cognitive Therapies 56th Annual Meeting.
Torrez, B., Hudson, S. T. J., & Dupree, C. H. (2023). Racial equity in social psychological science: A guide for scholars, institutions, and the field. Social and Personality Psychology Compass, 17(1), e12720. https://doi.org/10.1111/spc3.12720
Vaughn, L. M., Whetstone, C., Boards, A., Busch, M. D., Magnusson, M., & Määttä, S. (2018). Partnering with insiders: A review of peer models across community-engaged research, education and social care. Health & Social Care in the Community, 26(6), 769–786.
Virtanen, T., Plumbley, M. D., & Ellis, D. (2018). Computational analysis of sound scenes and events. Springer.
Wang, Y. (2022). Every day matters: Using daily methods to understand oppression and BIPOC youth development in context. Journal of Research on Adolescence, 32(2), 666–672.
Wang, B., Wang, A., Chen, F., Wang, Y., & Kuo, C.-C. J. (2019). Evaluating word embedding models: Methods and experimental results. APSIPA Transactions on Signal and Information Processing, 8.
West, T. V., Popp, D., & Kenny, D. A. (2008). A guide for the estimation of gender and sexual orientation effects in dyadic data: An actor-partner interdependence model approach. Personality and Social Psychology Bulletin, 34(3), 321–336.
Weston, S. J., Ritchie, S. J., Rohrer, J. M., & Przybylski, A. K. (2019). Recommendations for increasing the transparency of analysis of preexisting data sets. Advances in Methods and Practices in Psychological Science, 2(3), 214–227.
Williams, M. T. (2020). Psychology’s hidden history: Racist roots and poison fruits | Psychology today. Psychology Today https://www.psychologytoday.com/us/blog/culturally-speaking/202011/psychology-s-hidden-history-racist-roots-and-poison-fruits
Wilson, Da’Mere., McConnell, Mairead, & O’Connor, Mary-Frances. (2019). Recruiting underrepresented research assistants. University of Arizona.
Windsor, L. C. (2013). Using concept mapping in community-based participatory research: A mixed methods approach. Journal of Mixed Methods Research, 7(3), 274–293.
Yeager, K. A., & Bauer-Wu, S. (2013). Cultural humility: Essential foundation for clinical researchers. Applied Nursing Research, 26(4), 251–256.
Acknowledgements
The authors are deeply grateful to the numerous participants who have shared soundbites of their lives with us in research studies over the years, and to the research assistants in our labs who have dedicated thousands of hours to the transcription, coding, and processing of these data. We would especially like to thank Danbi Kim, Dennis Delgadillo, Shahed Ebesh and Kashvi Mullick, current ambient audio coders who were interviewed for this manuscript.
Funding
The research informing the recommendations reported in this manuscript was funded by the U.S. National Institutes of Health under grants R01MH125414, R56AG068098, R01CA262719, R01HD104187, R01MH105379, R01AG078361, R01MH108641, R01HD104187 (NIH) K01AG065485, 1F32HL154751 and T32ES007018, as well as by the Mind and Life Institute under a 1440 Award, an Australian Research Council Future Fellowship (FT190100255), and a Social Sciences and Humanities Research Council Insight grant.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
The authors have no further declarations or conflicts of interest to disclose.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open Practices Statement
No data are reported as part of this manuscript. The authors have made materials (e.g., coding manuals, participant training materials) used in the studies that inspired the methodological recommendations contained in this article available as open access methods resources on the Open Science Framework at: osf.io/n2ufd.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Kaplan, D.M., Tidwell, C.A., Chung, J.M. et al. Diversity, equity, and inclusivity in observational ambulatory assessment: Recommendations from two decades of Electronically Activated Recorder (EAR) research. Behav Res (2023). https://doi.org/10.3758/s13428-023-02293-0
Accepted:
Published:
DOI: https://doi.org/10.3758/s13428-023-02293-0