Related Experiment Video
Updated: Jan 12, 2026

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
Published on: January 7, 2019
Interpreting discordant results in mixed-method research: data triangulation, participant voices, and epistemic
Janet Page-Reeves1, Megan Rivera2, Evelyn Lozano2
1Department of Family & Community Medicine, and Office for Community Health, University of New Mexico Health Sciences Center, University of New Mexico, Albuquerque, NM, USA.
Abstract:
In this article, we discuss unexpected methodological challenges revealed during interim analysis of data from a mixed-methods study with female Mexican immigrants. 'Tertulias' was a randomized controlled trial of an innovative peer support group model for reducing social isolation and depression among women immigrants from Mexico using a Community-Driven, Community-Engaged Research (CD-CEnR) approach. We describe discordant data obtained using different methods and how we went about triangulating and integrating analyses. In the process, we identified cultural, contextual, and methodological factors that influenced the nature and content of the data, and issues of power and epistemic justice in the broader research enterprise. Based on this experience, we offer insights for data integration to improve both scientific rigor and epistemic justice in health disparities research.
More Related Videos
14:43A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
08:53Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Related Concept Videos
Ethics in Research
Bias in Epidemiological Studies
Confounding in Epidemiological Studies
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
The Scientific Method
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...