Critical Participatory Co-Analysis: Advancing Analytic Methods for Participatory Qualitative Research

New types of transgressive qualitative research can embrace more collaborative forms of truth-sharing and meaning-making, leading to more multivocal insights to advance shared knowledge-building and development goals in broader-reaching ways. In this study, I turn towards a participatory approach to data collection and analysis to explore new and more multivocal ways of developing knowledge in partnership with youth. I take this turn with the goal of conducting research that feels more honest, both in terms of analytic accuracy and in terms of analytic ethics. In this, I seek a transgressive validity that centers the humanity of both researcher and participant. In particular, I introduce and unpack critical participatory co-analysis as a transformative method for knowledge co-construction from multiple data points and perspectives, grounded in participant expertise in their lived experiences and contexts. This analytic method is an enactment of a critical commitment to multivocal truth and power-sharing in participatory research, leading to more complex and multilayered findings in closer partnership with participants. This paper explores the process of completing a qualitative dissertation study through participatory data cogeneration and critical participatory co-analysis, including steps navigated in partnership with youth, and the significance of these steps for reaching conceptual and methodological advancements in the work. Implications are discussed for enhancing mutuality and transparency between researcher and participants across all steps of analysis.

Authors

Institutions

Publication Details

Journal
International Journal of Qualitative Methods
Published
2025-04-01
DOI
https://doi.org/10.1177/16094069251342551
Primary Topic
Participatory Visual Research Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Critical Participatory Co-Analysis: Advancing Analytic Methods for Participatory Qualitative Research

Day Greenberg
2 links
International Journal of Qualitative Methods
Participatory Visual Research Methods
article

Critical Participatory Co-Analysis: Advancing Analytic Methods for Participatory Qualitative Research

Day Greenberg
article en

Abstract

New types of transgressive qualitative research can embrace more collaborative forms of truth-sharing and meaning-making, leading to more multivocal insights to advance shared knowledge-building and development goals in broader-reaching ways. In this study, I turn towards a participatory approach to data collection and analysis to explore new and more multivocal ways of developing knowledge in partnership with youth. I take this turn with the goal of conducting research that feels more honest, both in terms of analytic accuracy and in terms of analytic ethics. In this, I seek a transgressive validity that centers the humanity of both researcher and participant. In particular, I introduce and unpack critical participatory co-analysis as a transformative method for knowledge co-construction from multiple data points and perspectives, grounded in participant expertise in their lived experiences and contexts. This analytic method is an enactment of a critical commitment to multivocal truth and power-sharing in participatory research, leading to more complex and multilayered findings in closer partnership with participants. This paper explores the process of completing a qualitative dissertation study through participatory data cogeneration and critical participatory co-analysis, including steps navigated in partnership with youth, and the significance of these steps for reaching conceptual and methodological advancements in the work. Implications are discussed for enhancing mutuality and transparency between researcher and participants across all steps of analysis.

International Journal of Qualitative MethodsVol. 24
Indiana University Bloomington (US), Indiana University (US)
National Science Foundation
Openalex Percentile: Top 80%
Participatory Visual Research Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.