Abstract
Introduction
Indigenous communities worldwide have endured research by “outsiders” or non-Indigenous researchers who have a limited knowledge of the lived experience of Indigenous communities (Kovach, 2009). Research approaches used to understand Indigenous people in Canada have predominately used Western approaches and have not reflected Indigenous ways of knowing, protocols, or worldviews (Kovach, 2009; Thambinathan & Kinsella, 2021). Additionally, experiences of historical trauma resulting from the Indian residential and day schools as well as other racist colonial policies have contributed to the erasure of Indigenous knowledge and Indigenous research methods (Hyett et al., 2018). The landscape of research involving Indigenous people is changing with a growing number of Indigenous scholars reclaiming and revitalizing Indigenous Knowledge (Kovach, 2009; Hyett et al., 2018). The aim of this paper is to explore how decolonizing research approaches, specifically, the Two-Eyed Seeing framework, known as Etuaptmumk, has been applied during the data analysis phase of health research.
Etuaptmumk, is a word in the Mi’kmaq language meaning “the gift of multiple perspectives” (Marshall, 2004). In the English language, Etuaptmumk is known as Two-Eyed Seeing. Two-Eyed Seeing is rooted in rich Mi’kmaq traditions and reflects overarching concepts that exist within diverse Indigenous communities with distinct knowledge systems sharing ontological insights (Bartlett et al., 2012). For instance, Indigenous philosophies recognize interconnectedness and relationships and avoid a narrow focus on discrete elements unrelated to the whole (Ermine et al., 2004; Martin, 2012). This approach is rich with Indigenous ancestral history and was described by the late Mi’kmaq Spiritual Leader, Healer, and Chief, Charles Labrador, of Acadia First Nation, “Go into the forest, you see the birch, maple, pine. Look underground and all those trees are holding hands. We as people have to do the same” (Bartlett et al., 2007, p. 2). This wisdom was conceptualized and proposed as “Two-Eyed Seeing” in 2004 by Mi’kmaq Elders Albert, and Murdena Marshall, from Eskasoni, a First Nation in Cape Breton, Nova Scotia. It was presented as guiding principles for Integrative Science that builds on Indigenous Knowledge and methods (Bartlett et al., 2007, 2012).
The principle of Two-Eyed Seeing provides a framework whereby conscious and deliberate conversations and research approaches are determined prior to and throughout the research process by the research team to guide a balance of each knowledge (Marshall, 2004; Peltier, 2018). Two-eyed Seeing involves the researcher being aware to not allow one eye (Indigenous ways of knowing) to be dominated by the other (Western ways of knowing); rather allowing each eye to see the world that is always partial (Martin, 2012). By applying this principle, the integration of Indigenous ways of knowing is recognized as being of equal value to Western ways of knowing, where both eyes work together as they do in binocular vision (Bartlett, 2012). Bartlett et al. (2007) note, “Two-Eyed Seeing intentionally and respectfully brings together our different knowledges and ways of knowing, to motivate people, Aboriginal and non-Aboriginal alike, to use all our gifts so we leave the world a better place” (p. 14). The authors note that in a particular set of circumstances researchers may choose to call upon the strengths within Indigenous sciences or within Western sciences. This requires “weaving back and forth” between knowledges and avoids portraying the situation as “a clash of knowledges” (Bartlett et al., 2007, p. 13). According to Bartlett et al. (2012), a co-learning journey is described when applying Two-Eyed Seeing. Co-learning involves learning from each other, learning together, learning our commonalities and differences, and learning to see how to weave back and forth between our cultures’ actions, values and knowledge as circumstances require (Bartlett et al., 2012). The authors outline eight protocols for weaving Indigenous Knowledge and mainstream (Western) science guided by Two-Eyed Seeing. The eight protocols include: (1) acknowledge that we need each other and must engage in a co-learning journey, (2) be guided by Two-Eyed Seeing, (3) view “science” in an inclusive way, (4) do things in a creative, grow forward way, (5) become able to put our values and actions and knowledges in front of us, like an object, for examination and discussion, (6) use visuals, (7) weave back and forth between our worldviews, and (8) develop an advisory council of willing, knowledgeable stakeholders, drawing upon individuals both from within educational institution(s) and within Indigenous communities (Bartlett et al., 2012). This interweaving approach offers opportunity to engage in research processes to explore knowledges in ways that will offer the community the greatest benefit (Iwama et al., 2009). Furthermore, the co-learning process engages the research team to acknowledge the historical dominance of Western knowledge within research and the devastating impact of colonial policies on the erasure of Indigenous Knowledge (Iwama et al., 2009).
In 2011, Two-Eyed Seeing was adopted to guide the vision and mandate of the Canadian Institutes for Health Research and the Institute for Aboriginal Peoples’ Health (CIHR, 2015). There has been an increase in the use of Two-Eyed Seeing to guide environmental sciences (Ahmed et al., 2022, 2023; Leonard et al., 2022), program development (Dunn et al., 2022; Marsh et al., 2022; Nicholson et al., 2021), education (Acharibasam & McVittie, 2022; Heuckmann & Zeyer, 2022), social justice (Cullen & Castleden, 2022), and discussions for cultural competency (Chatwood et al., 2015; Wright et al., 2019b). Moreover, there remains variation in how Two-Eyed Seeing is applied within the literature. For example, some studies have applied a Two-Eyed Seeing approach as a research method such as involving Indigenous community members, Elders within the research process or Indigenous Advisory Committees (Carter et al., 2017; Hall et al., 2015; Wright et al., 2019a) or while following ethical research processes (Hall et al., 2015; Lavallee et al., 2009). Hall et al., 2015, reported that Two-Eyed Seeing assisted the research team as a guiding principle which aided in engaging with decolonizing research methodologies. Other studies reported the application of Two-Eyed Seeing as an Indigenous methodology (Danto et al., 2021; Marsh et al., 2015; Sylliboy, 2021). According to Marsh et al. (2015), Indigenous research approaches and the development of Indigenous methodologies guide the research agenda to respectfully represent the Indigenous population. Additionally, some studies described a Two-Eyed Seeing approach, but not specifically the approach described by Bartlett et al. (2007). For example, in a study by Kandasamy et al. (2022), a Haudenosaunee Two-Eyed Seeing approach called, ‘Two-Row Wampum-Covenant Chain Tradition’ is used to guide and honor multiple knowledges during the research process. Despite the variety of applications of a Two-Eyed Seeing framework there appears to be consistency to represent and honour multiple knowledges in an effort to benefit the community as a whole. Moreover, there remains a lack of a defined Two-Eyed Seeing approach during data analysis representing a gap within the literature (Wright et al., 2019a). This gap significantly impacts research study findings and limits the benefits to the Indigenous community. For example, data analysis solely through a non-Indigenous lens defeats the intentions of Two-Eyed Seeing to respond and resolve the inherent conflicts between Indigenous ways of knowing and analysis process of the scoping review inquiry (Chatwood et al., 2015). The variation in application and lack of a defined approach of the Two-Eyed Seeing framework especially during data analysis as well as the rapid uptake and need for Indigenous research methods has significant implications on the recognition and revitalization of Indigenous Knowledge in research and Two-Eyed Seeing.
In 2019, an integrative review was conducted by Wright et al., in response to a lack of a clear application of procedures for researchers using a Two-Eyed Seeing approach. The authors identified inconsistencies with the interpretation and application of Two-Eyed Seeing in research and outline six key attributes and application procedures for consideration by researchers choosing to apply Two-Eyed Seeing to their work. The six key attributes include: (1) authentic relationships, (2) reciprocal research, (3) relational accountability, (4) Indigenous involvement, (5) Indigenous methodology, and (6) Western researchers deferring to Indigenous leadership. The research by Wright et al., 2019a, has significantly contributed to the foundational literature surrounding the application of a Two-Eyed Seeing framework described by Bartlett et al. (2007). However, the authors note significant variation and a lack of a defined approach during data analysis in the literature when a Two-Eyed Seeing framework is applied.
The purpose of this paper is to review the health literature where Two-Eyed Seeing was applied and to identify the approaches or methods specifically used during data analysis and discuss the implications for research with Indigenous communities. This article will contribute to the greater body of literature around the application of Two-Eyed Seeing in health research. To guide this integrative review the approach outlined by Whittemore and Knafl (2005) will be used and involves five stages: (a) problem identification, (b) literature search, (c) data evaluation of quality, (d) data analysis, and (e) data synthesis. Given that (a) problem identification has been clearly outlined previously, the following four stages (b-e) will be described.
Methods
Literature Search
A systematic search of the literature was completed to identify published research articles which were publicly available. The research problem, the lack of published literature to guide the application of Two-Eyed Seeing during the analysis phase of health research conducted with Indigenous communities, inspired, and guided the search for this integrative review. The following databases were used, OVID Medline, CINAHL, Web of Science, and PubMed using the search terms “Two-Eyed Seeing” or “Etuaptmumk”. Other search terms were not used given the specific area of research and limited contribution to additional relevant articles. Articles were included if they: (1) were published in English between 2007 and June 2023, (2) related to the health of Indigenous communities, and (3) described the application of a Two-Eyed Seeing framework during the analysis phase of research. Once duplicate articles were removed; all article titles and abstracts were reviewed for relevancy. Finally, a full-text review of remaining articles was completed, and articles were removed if they did not meet the inclusion criteria (see Figure 1). Prisma chart. Search strategy.
Data Evaluation of Quality
Critical Appraisal of Primary Studies.
Data Analysis and Data Synthesis
Data was extracted from each article related to purpose, methodology, and the application of Two-Eyed Seeing during data analysis. Analysis pertaining to the application of Two-Eyed Seeing during the data analysis phase of research was completed by using constant comparison methods described by Miles and Huberman (1994). A synthesis of data is presented outlining key themes in the following results section.
Results
Themes and Sub-Themes with Associated Articles.
Themes and Sub-Themes
Five major themes, and five sub-themes emerged from the analysis and represent a synthesis of the data. Additionally, five approaches that were unique to individual articles are provided. These themes, sub-themes, and additional approaches are discussed below and can be found in Table 2.
Indigenous Community Member Involvement in Analysis
Indigenous community member involvement during research analysis involved 28 (
Co-Learning during Analysis
Co-learning requires working together closely to understand each other’s values, perceptions, beliefs, and their knowledges. This close working process provides space for individuals to explore and listen to each other’s lived experiences (Bartlett et al., 2007). According to Roher et al. (2021), the spirit of co-learning shows a commitment to the process of conversation rather than outcomes. This process is about ensuring that the essence or spirit of the two ways of knowing (Indigenous and Western knowledge), has been respected as the research team works to balance the energies of those ways of knowing.
Three subcategories were identified which address co-learning including frequent meetings with the research team to support co-learning, prolonged engagement with research participants, and engagement in reflexivity during the analysis phase. Four articles (
Visual or Symbolic Conceptualization to Guide Analysis
Seven articles (
Statement Acknowledging Indigenous Knowledge during Analysis
Three (
Sharing of Traditional Stories to Guide Analysis
Two articles (
Additional Approaches to Consider
Furthermore, some additional approaches during Two-Eyed Seeing data analysis were mentioned in individual articles. Five approaches are described including: (1) the research team involvement with cultural practices and ceremony during analysis, (2) timelines for analysis were flexible to ensure Indigenous governance, (3) collective approach to data analysis, (4) holistic review of transcripts during analysis, and (5) separation analysis between biomedical and Traditional knowledge (Cabrera et al., 2015; Carter et al., 2017; Hall et al., 2015; Sylliboy, 2021).
The first approach included a strategy where the research team was involved with cultural practices and ceremony to assist with the research process, including analysis (Hall et al., 2015). The authors describe the research team’s engagement in cultural practices and ceremony such as prayer where the research team celebrated an Indigenous worldview’s inclusion of the Creator in the research process and gift giving where the research team was gifted with a sweat lodge by the Indigenous community. The authors report that by creating this connection within the Indigenous community and research team, the research team was able to move forward with the project “in a good way” (Hall et al., 2015, p. 8).
The second approach involved having flexible timelines for data analysis to ensure Indigenous governance (Hall et al., 2015). The authors describe the limitations of Western imposed research grant timeframes and suggest overcoming these limitations by following an Indigenous-centred process of Indigenous governance. This required additional time to complete data analysis by a Western researcher and coder through a cultural lens with Elders and Knowledge Keepers. The authors describe the challenge they experienced working from a set timeline. For example, how Indigenous Knowledge including the use of prayer and involvement with ceremony was a priority during the research process for the project to develop a measure to gauge the effectiveness of cultural interventions in First Nations alcohol and drug treatment programs in Canada.
The third approach involved using a collective approach to data analysis (Sylliboy, 2021). In this study, Two-Eyed Seeing was used as a co-learning methodology whereby stories were collected from Two-spirit people and were maintained as a collective unit versus sharing individual participants’ experiences. The authors described that this approach keeps the integrity of the stories’ spirit and the collective consciousness of Two-spirit participants. Furthermore, the authors preferred this approach to maintain and respect the anonymity of the participants in the study. Additionally, the author identifies that disintegrating the stories into individual parts for analysis and coding can be viewed as disrespectful for the sake of research.
The fourth approach incorporated engaging in two primary readings of the transcripts, one for holistic content and another for holistic form using an Indigenized version of a narrative approach described by Lieblich et al. (1998) cited in Carter et al. (2017). The authors report that they decided to concentrate only on the analytic viewpoint of holism because holistic analysis aligned with Indigenous ways of knowing. Using this framework, the analysis involved interpreting sections of the transcript in relationship to all parts of the transcript and the evolving story which the authors acknowledge as influencing how data was analysed, which included always looking for strengths, abilities, and possibilities even within sections of the narrative with struggle, regression, or challenge.
Finally, the fifth approach involved separating analysis between biomedical and Traditional knowledge. One article by Cabrera et al. (2015), organized two main categories into subcategories, identifying them as either biomedical or Traditional. Biomedical knowledge included language around biomedical labels such as Alzheimer’s disease and disease progression and genetic makeup. Traditional knowledge included how knowledge about disease had been shaped by interactions and discussions with family and community members and connectedness to the land and food. The authors note that a biomedical framework dominated and often framed the knowledge and understanding of key findings; however, traditional views were given equal consideration by separating the analysis into biomedical and Traditional knowledge. This separation of knowledge was a unique method used during analysis versus the blending of knowledges via consensus.
Discussion
This is the first integrative review to focus solely on the application of Two-Eyed Seeing specifically during the data analysis phase in health research. A gap has been identified within the published literature regarding the application of a Two-Eyed Seeing approach during data analysis procedures (Kovach, 2009). This article extends on the work of Wright et al., 2019b by identifying how Two-Eyed Seeing has been applied during data analysis.
Two-Eyed Seeing is known as a guiding principle or framework that can assist with research methodologies (Iwama et al., 2009; Wright et al., 2019b). Integration of Indigenous and Western worldviews is required throughout the research process when applying a Two-Eyed Seeing framework. This does not entail taking pieces of Indigenous Knowledge and appending them to Western knowledge, it involved interweaving between the strengths of both knowledges (Bartlett et al., 2012). Failing to do so will negatively impact interpretations during data analysis and undermines the application of the principle of Two-Eyed Seeing. This, in turn, also negatively impacts the potential benefits to the Indigenous community and causes harm and mistrust within the Indigenous community (Hall et al., 2015; Smylie et al., 2003).
This review provides a synthesis of data analysis approaches for authors when applying a Two-Eyed Seeing framework. This is especially important for non-Indigenous researchers involved with research projects with Indigenous communities to prevent the erasure of Indigenous Knowledge, promote the responsivity and responsibility of working with Indigenous communities, and to create safer spaces for Indigenous communities to engage with research efforts. Finally, this research will provide researchers a more robust approach during data analysis when applying the principle of Two-Eyed Seeing.
Themes and Sub-themes related to original authors.
It is not surprizing that the most prominent theme focuses on Indigenous community member involvement during data analysis. Four sub-themes were described including: (1) research participants involved with member checking, (2) involvement of an Indigenous advisory group during analysis, (3) Indigenous community member(s) involved with coding and analysis, and (4) partnership with an Indigenous Elder or Knowledge Keeper during analysis. Future researchers should consider creating an advisory council or Indigenous advisory group. Therefore, the research team in collaboration with the Indigenous advisory group can develop and revise research protocols to include Indigenous community members throughout the research process, including data analysis. This theme encompasses “nothing about us without us” and is integral to the broader research process especially during data analysis (Herbert, 2017).
Co-learning was the second most common theme identified in this review. This too, is not surprising given that it is described directly as one of the key principles of Two-Eyed Seeing (Bartlett et al., 2012). Three sub-themes were identified for Co-Learning including: (1) frequent meetings to support co-learning, (2) prolonged engagement with research participants, and (3) the use of reflexivity during the analysis phase. These three approaches are not necessarily unique to a Two-Eyed Seeing approach. For example, other methodologies such as Indigenous Research methods suggest frequent encounters with research team members to engage in data analysis or prolonged engagement with research participants to facilitate relationship building and trust (Kovach, 2009). Reflexivity is described within qualitative methodologies to ground the authors to acknowledge their own thoughts, values, and position of power (Olmos-Vega et al., 2022). Co-learning in Two-Eyed Seeing differs from other methodologies in that it focuses on the weaving between knowledges and the growth between the researcher and the Indigenous community. Researchers applying Two-Eyed seeing during data analysis will need to work with the Indigenous community and expand upon these sub-themes. This will assist to facilitate the co-learning process throughout research and data analysis. Future research is required to understand the process of interweaving between knowledges and its application in health research.
The use of a statement to acknowledge Indigenous Knowledge during analysis was the next major theme. Directly recognizing and honoring Indigenous Knowledge during data analysis, ensures the reader that Indigenous Knowledge is valuable and contributes to the study findings in an equitable way. This approach offers transparency and accountability regarding the interpretation and analysis that was completed.
Next, the sharing of Traditional stories as a distinct strategy to use during data analysis was identified. Only two articles in this review outlined storytelling during data analysis and each study utilized varying approaches to storytelling. For example, in the article by Bruner et al. (2019), research team members shared the story of the “Bone Woman” which helped to explain the research analysis process and in the article by Carter et al. (2017), storytelling was used to assist with positionality and open discussion during data analysis. Storytelling has rich ancestral history whereby knowledge has been carried from generation to generation (Kovach, 2009). According to the Institute for Integrative Science and Health (IISH) (2022), the exchange of stories is the foundational basis for all relationships and helps Indigenous Elders to revitalize language while also connecting with children and young people in their communities (IISH, 2022). It is interesting that the two articles (Bruner et al., 2019; Carter et al., 2017) which identified sharing of Traditional stories to guide analysis in this review did not involve an Elder or Knowledge Keeper in the study protocol. This is not to imply that an Elder or Knowledge Keeper is required to engage in the sharing of Traditional stories, but rather Indigenous communities may have specific protocols when Traditional stories are shared. The IISH also note that exchanging stories enables researchers to acknowledge their agency within knowledge systems (IISH, 2022). It is therefore important for researchers to follow the guidance and leadership of the Indigenous advisory group when considering an approach of sharing stories to aid data analysis. This can help to ensure that the approach is culturally appropriate and will benefit the community where the research is completed.
Moreover, there were five additional strategies which may be considered when applying a Two-Eyed Seeing approach during data analysis. These strategies included: (1) the research teams’ involvement in cultural practices during data analysis, (2) mindfulness of timelines during data analysis. Specifically, considering the pressures of strict timelines for grant and funding agreements, (3) using a collective approach, (4) applying holistic review of data, and (5) separating data into biomedical (Western) and Traditional (Indigenous) analysis before reaching consensus. These approaches address the imbalance of opposing worldviews (the two eyes). For example, research teams participating in cultural ceremonial practices such as a drumming circle and gaining understanding of a non-mainstream worldview or analysing data using a collective or holistic lens to recognize and honour Indigenous worldviews and knowledge or ways of knowing. Iwama, et al. (2009), notes that Two-Eyed Seeing does not merge two knowledge systems into one nor does it paste bits of Indigenous Knowledge onto Western knowledge. Therefore, it is important to identify the goals of the research question and the needs of the Indigenous community before considering separating analysis between biomedical and Traditional. In the article by Cabrera et al. (2015), a reason is not outlined by the authors for this decision. Researchers wishing to apply these approaches during data analysis should consider explaining how the data analysis approach will be presented and how this presentation addresses the needs of the Indigenous community. Further research to explore approaches whereby data analysis is separated is required.
Finally, it is paramount to recognize the long-standing history of Indigenous studies and the strong alternatives to Eurocentric ways of inquiry Indigenous Knowledge offers. This study is the first known to the authors to highlight Two-Eyed Seeing approaches during data analysis. Liberda et al. (2022), state that the application of Two-Eyed Seeing goes beyond simply incorporating Indigenous Knowledge into a study design but involves active participation at all levels throughout the research process. It is therefore important to consider the Two-Eyed Seeing framework throughout all phases of the research process. Future research is needed to identify how Two-Eyed Seeing has been applied within various research methodologies as well as in other phases of the research process. Additionally, given that nearly all articles were based in Canada, future research to explore the application of Two-Eyed Seeing in other countries, especially those with similar colonial histories is needed. This integrative review builds upon the research by Wright et al. (2019b), who aimed to address the disparity of how Two-Eyed Seeing has been interpreted and applied in research. The themes and sub-themes presented in this integrative review provide a starting point to understand how a Two-Eyed Seeing approach is applied during data analysis. Borrowing from Wright et al. (2019b), researchers (Indigenous and Non-Indigenous) should thoroughly describe their approach and decisions related to the application of Two-Eyed Seeing to research with Indigenous communities. This is critical for researchers to consider for each phase of the research process to increase research integrity and to provide the greatest benefit to Indigenous communities.
Conclusion
This integrative review is novel in that it is the first review known to the authors to explore the use and application of a Two-Eyed Seeing framework during data analysis. Five themes and corresponding sub-themes are provided to assist future researchers, non-Indigenous and Indigenous, who have chosen Two-Eyed Seeing to guide their research. This research contributes to the broader literature to engage and work with Indigenous communities in a culturally responsive and informed way.
