qualitative research academic journal

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The Oxford Handbook of Qualitative Research (2nd edn)

Patricia Leavy Independent Scholar Kennebunk, ME, USA

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The Oxford Handbook of Qualitative Research, second edition, presents a comprehensive retrospective and prospective review of the field of qualitative research. Original, accessible chapters written by interdisciplinary leaders in the field make this a critical reference work. Filled with robust examples from real-world research; ample discussion of the historical, theoretical, and methodological foundations of the field; and coverage of key issues including data collection, interpretation, representation, assessment, and teaching, this handbook aims to be a valuable text for students, professors, and researchers. This newly revised and expanded edition features up-to-date examples and topics, including seven new chapters on duoethnography, team research, writing ethnographically, creative approaches to writing, writing for performance, writing for the public, and teaching qualitative research.

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About Journal

American Journal of Qualitative Research (AJQR)  is a quarterly peer-reviewed academic journal that publishes qualitative research articles from a number of social science disciplines such as psychology, health science, sociology, criminology, education, political science, and administrative studies. The journal is an international and interdisciplinary focus and greatly welcomes papers from all countries. The journal offers an intellectual platform for researchers, practitioners, administrators, and policymakers to contribute and promote qualitative research and analysis.

ISSN: 2576-2141

Call for Papers- American Journal of Qualitative Research

American Journal of Qualitative Research (AJQR) welcomes original research articles and book reviews for its next issue. The AJQR is a quarterly and peer-reviewed journal published in February, May, August, and November.

We are seeking submissions for a forthcoming issue published in February 2024. The paper should be written in professional English. The length of 6000-10000 words is preferred. All manuscripts should be prepared in MS Word format and submitted online: https://www.editorialpark.com/ajqr

For any further information about the journal, please visit its website: https://www.ajqr.org

Submission Deadline: November 15, 2023

Announcement 

Dear AJQR Readers, 

Due to the high volume of submissions in the American Journal of Qualitative Research , the editorial board decided to publish quarterly since 2023.

Volume 8, Issue 1

Current issue.

Social distancing requirements resulted in many people working from home in the United Kingdom during the COVID-19 pandemic. The topic of working from home was often discussed in the media and online during the pandemic, but little was known about how quality of life (QOL) and remote working interfaced. The purpose of this study was to describe QOL while working from home during the COVID-19 pandemic. The novel topic, unique methodological approach of the General Online Qualitative Study ( D’Abundo & Franco, 2022a), and the strategic Social Distancing Sampling ( D’Abundo & Franco, 2022c) resulted in significant participation throughout the world (n = 709). The United Kingdom subset of participants (n = 234) is the focus of this article. This big qual, large qualitative study (n >100) included the principal investigator-developed, open-ended, online questionnaire entitled the “Quality of Life Home Workplace Questionnaire (QOLHWQ)” and demographic questions. Data were collected peak-pandemic from July to September 2020. Most participants cited increased QOL due to having more time with family/kids/partners/pets, a more comfortable work environment while being at home, and less commuting to work. The most cited issue associated with negative QOL was social isolation. As restrictions have been lifted and public health emergency declarations have been terminated during the post-peak era of the COVID-19 pandemic, the potential for future public health emergencies requiring social distancing still exists. To promote QOL and work-life balance for employees working remotely in the United Kingdom, stakeholders could develop social support networks and create effective planning initiatives to prevent social isolation and maximize the benefits of remote working experiences for both employees and organizations.

Keywords: qualitative research, quality of life, remote work, telework, United Kingdom, work from home.

(no abstract)

This essay reviews classic works on the philosophy of science and contemporary pedagogical guides to scientific inquiry in order to present a discussion of the three logics that underlie qualitative research in political science. The first logic, epistemology, relates to the essence of research as a scientific endeavor and is framed as a debate between positivist and interpretivist orientations within the discipline of political science. The second logic, ontology, relates to the approach that research takes to investigating the empirical world and is framed as a debate between positivist qualitative and quantitative orientations, which together constitute the vast majority of mainstream researchers within the discipline. The third logic, methodology, relates to the means by which research aspires to reach its scientific ends and is framed as a debate among positivist qualitative orientations. Additionally, the essay discusses the present state of qualitative research in the discipline of political science, reviews the various ways in which qualitative research is defined in the relevant literature, addresses the limitations and trade-offs that are inherently associated with the aforementioned logics of qualitative research, explores multimethod approaches to remedying these issues, and proposes avenues for acquiring further information on the topics discussed.

Keywords: qualitative research, epistemology, ontology, methodology

This paper examines the phenomenology of diagnostic crossover in eating disorders, the movement within or between feeding and eating disorder subtypes or diagnoses over time, in two young women who experienced multiple changes in eating disorder diagnosis over 5 years. Using interpretative phenomenological analysis, this study found that transitioning between different diagnostic labels, specifically between bulimia nervosa and anorexia nervosa binge/purge subtype, was experienced as disempowering, stigmatizing, and unhelpful. The findings in this study offer novel evidence that, from the perspective of individuals diagnosed with EDs, using BMI as an indicator of the presence, severity, or change of an ED may have adverse consequences for well-being and recovery and may lead to mischaracterization or misclassification of health status. The narratives discussed in this paper highlight the need for more person-centered practices in the context of diagnostic crossover. Including the perspectives of those with lived experience can help care providers working with individuals with eating disorders gain an in-depth understanding of the potential personal impact of diagnosis changing and inform discussions around developing person-focused diagnostic practices.

Keywords: feeding and eating disorders, bulimia nervosa, diagnostic labels, diagnostic crossover, illness narrative

Often among the first witnesses to child trauma, educators and therapists are on the frontline of an unfolding and multi-pronged occupational crisis. For educators, lack of support and secondary traumatic stress (STS) appear to be contributing to an epidemic in professional attrition. Similarly, therapists who do not prioritize self-care can feel depleted of energy and optimism. The purpose of this phenomenological study was to examine how bearing witness to the traumatic narratives of children impacts similar helping professionals. The study also sought to extrapolate the similarities and differences between compassion fatigue and secondary trauma across these two disciplines. Exploring the common factors and subjective individual experiences related to occupational stress across these two fields may foster a more complete picture of the delicate nature of working with traumatized children and the importance of successful self-care strategies. Utilizing Constructivist Self-Development Theory (CSDT) and focus group interviews, the study explores the significant risk of STS facing both educators and therapists.

Keywords: qualitative, secondary traumatic stress, self-care, child trauma, educators, therapists.

This study explored the lived experiences of residents of the Gulf Coast in the USA during Hurricane Katrina, which made landfall in August 2005 and caused insurmountable destruction throughout the area. A heuristic process and thematic analysis were employed to draw observations and conclusions about the lived experiences of each participant and make meaning through similar thoughts, feelings, and themes that emerged in the analysis of the data. Six themes emerged: (1) fear, (2) loss, (3) anger, (4) support, (5) spirituality, and (6) resilience. The results of this study allude to the possible psychological outcomes as a result of experiencing a traumatic event and provide an outline of what the psychological experience of trauma might entail. The current research suggests that preparedness and expectation are key to resilience and that people who feel that they have power over their situation fare better than those who do not.

Keywords: mass trauma, resilience, loss, natural disaster, mental health.

Women from rural, low-income backgrounds holding positions within the academy are the exception and not the rule. Most women faculty in the academy are from urban/suburban areas and middle- and upper-income family backgrounds. As women faculty who do not represent this norm, our primary goal with this article is to focus on the unique barriers we experienced as girls from rural, low-income areas in K-12 schools that influenced the possibilities for successfully transitioning to and engaging with higher education. We employed a qualitative duoethnographic and narrative research design to respond to the research questions, and we generated our data through semi-structured, critical, ethnographic dialogic conversations. Our duoethnographic-narrative analyses revealed six major themes: (1) independence and other   benefits of having a working-class mom; (2) crashing into middle-class norms and expectations; (3) lucking and falling into college; (4) fish out of water; (5) overcompensating, playing middle class, walking on eggshells, and pushing back; and (6) transitioning from a working-class kid to a working class academic, which we discuss in relation to our own educational attainment.

Keywords: rurality, working-class, educational attainment, duoethnography, higher education, women.

This article draws on the findings of a qualitative study that focused on the perspectives of four Indian American mothers of youth with developmental disabilities on the process of transitioning from school to post-school environments. Data were collected through in-depth ethnographic interviews. The findings indicate that in their efforts to support their youth with developmental disabilities, the mothers themselves navigate multiple transitions across countries, constructs, dreams, systems of schooling, and services. The mothers’ perspectives have to be understood against the larger context of their experiences as citizens of this country as well as members of the South Asian diaspora. The mothers’ views on services, their journey, their dreams for their youth, and their interpretation of the ideas anchored in current conversations on transition are continually evolving. Their attempts to maintain their resilience and their indigenous understandings while simultaneously negotiating their experiences in the United States with supporting their youth are discussed.  

Keywords: Indian-American mothers, transitioning, diaspora, disability, dreams.

This study explored the influence of yoga on practitioners’ lives ‘off the mat’ through a phenomenological lens. Central to the study was the lived experience of yoga in a purposive sample of self-identified New Zealand practitioners (n=38; 89.5% female; aged 18 to 65 years; 60.5% aged 36 to 55 years). The study’s aim was to explore whether habitual yoga practitioners experience any pro-health downstream effects of their practice ‘off the mat’ via their lived experience of yoga. A qualitative mixed methodology was applied via a phenomenological lens that explicitly acknowledged the researcher’s own experience of the research topic. Qualitative methods comprised an open-ended online survey for all participants (n=38), followed by in-depth semi-structured interviews (n=8) on a randomized subset. Quantitative methods included online outcome measures (health habits, self-efficacy, interoceptive awareness, and physical activity), practice component data (tenure, dose, yoga styles, yoga teacher status, meditation frequency), and socio-demographics. This paper highlights the qualitative findings emerging from participant narratives. Reported benefits of practice included the provision of a filter through which to engage with life and the experience of self-regulation and mindfulness ‘off the mat’. Practitioners experienced yoga as a self-sustaining positive resource via self-regulation guided by an embodied awareness. The key narrative to emerge was an attunement to embodiment through movement. Embodied movement can elicit self-regulatory pathways that support health behavior.

Keywords: embodiment, habit, interoception, mindfulness, movement practice, qualitative, self-regulation, yoga.

Historically and in the present day, Black women’s positionality in the U.S. has paradoxically situated them in a society where they are both intrinsically essential and treated as expendable. This positionality, known as gendered racism, manifests commonly in professional environments and results in myriad harms. In response, Black women have developed, honed, and practiced a range of coping styles to mitigate the insidious effects of gendered racism. While often effective in the short-term, these techniques frequently complicate Black women’s well-being. For Black female clinicians who experience gendered racism and work on the frontlines of community mental health, myriad bio-psycho-social-spiritual harms compound. This project provided an opportunity for Black female clinicians from across the U.S. to share their experiences during the dual pandemics of COVID-19 and anti-Black violence. I conducted in-depth interviews with clinicians (n=14) between the ages of 30 and 58. Using the Listening Guide voice-centered approach to data generation and analysis, I identified four voices to help answer this project’s central question: How do you experience being a Black female clinician in the U.S.? The voices of self, pride, vigilance, and mediating narrated the complex ways participants experienced their workplaces. This complexity seemed to be context-specific, depending on whether the clinicians worked in predominantly White workplaces (PWW), a mix of PWW and private practice, or private practice exclusively. Participants who worked only in PWW experienced the greatest stress, oppression, and burnout risk, while participants who worked exclusively in private practice reported more joy, more authenticity, and more job satisfaction. These findings have implications for mentoring, supporting, and retaining Black female clinicians.

Keywords: Black female clinicians, professional experiences, gendered racism, Listening Guide voice-centered approach.

The purpose of this article is to speak directly to the paucity of research regarding Dominican American women and identity narratives. To do so, this article uses the Listening Guide Method of Qualitative Inquiry (Gilligan, et al., 2006) to explore how 1.5 and second-generation Dominican American women narrated their experiences of individual identity within American cultural contexts and constructs. The results draw from the emergence of themes across six participant interviews and showed two distinct voices: The Voice of Cultural Explanation and the Tides of Dominican American Female Identity. Narrative examples from five participants are offered to illustrate where 1.5 and second-generation Dominican American women negotiate their identity narratives at the intersection of their Dominican and American selves. The article offers two conclusions. One, that participant women use the Voice of Cultural Explanation in order to discuss their identity as reflected within the broad cultural tensions of their daily lives. Two, that the Tides of Dominican American Female Identity are used to express strong emotions that manifest within their personal narratives as the unwanted distance from either the Dominican or American parts of their person.

Keywords: Dominican American, women, identity, the Listening Guide, narratives

• Open access
• Published: 27 May 2020

How to use and assess qualitative research methods

• Loraine Busetto   ORCID: orcid.org/0000-0002-9228-7875 1 ,
• Wolfgang Wick 1 , 2 &
• Christoph Gumbinger 1  

Neurological Research and Practice volume  2 , Article number:  14 ( 2020 ) Cite this article

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This paper aims to provide an overview of the use and assessment of qualitative research methods in the health sciences. Qualitative research can be defined as the study of the nature of phenomena and is especially appropriate for answering questions of why something is (not) observed, assessing complex multi-component interventions, and focussing on intervention improvement. The most common methods of data collection are document study, (non-) participant observations, semi-structured interviews and focus groups. For data analysis, field-notes and audio-recordings are transcribed into protocols and transcripts, and coded using qualitative data management software. Criteria such as checklists, reflexivity, sampling strategies, piloting, co-coding, member-checking and stakeholder involvement can be used to enhance and assess the quality of the research conducted. Using qualitative in addition to quantitative designs will equip us with better tools to address a greater range of research problems, and to fill in blind spots in current neurological research and practice.

The aim of this paper is to provide an overview of qualitative research methods, including hands-on information on how they can be used, reported and assessed. This article is intended for beginning qualitative researchers in the health sciences as well as experienced quantitative researchers who wish to broaden their understanding of qualitative research.

What is qualitative research?

Qualitative research is defined as “the study of the nature of phenomena”, including “their quality, different manifestations, the context in which they appear or the perspectives from which they can be perceived” , but excluding “their range, frequency and place in an objectively determined chain of cause and effect” [ 1 ]. This formal definition can be complemented with a more pragmatic rule of thumb: qualitative research generally includes data in form of words rather than numbers [ 2 ].

Why conduct qualitative research?

Because some research questions cannot be answered using (only) quantitative methods. For example, one Australian study addressed the issue of why patients from Aboriginal communities often present late or not at all to specialist services offered by tertiary care hospitals. Using qualitative interviews with patients and staff, it found one of the most significant access barriers to be transportation problems, including some towns and communities simply not having a bus service to the hospital [ 3 ]. A quantitative study could have measured the number of patients over time or even looked at possible explanatory factors – but only those previously known or suspected to be of relevance. To discover reasons for observed patterns, especially the invisible or surprising ones, qualitative designs are needed.

While qualitative research is common in other fields, it is still relatively underrepresented in health services research. The latter field is more traditionally rooted in the evidence-based-medicine paradigm, as seen in " research that involves testing the effectiveness of various strategies to achieve changes in clinical practice, preferably applying randomised controlled trial study designs (...) " [ 4 ]. This focus on quantitative research and specifically randomised controlled trials (RCT) is visible in the idea of a hierarchy of research evidence which assumes that some research designs are objectively better than others, and that choosing a "lesser" design is only acceptable when the better ones are not practically or ethically feasible [ 5 , 6 ]. Others, however, argue that an objective hierarchy does not exist, and that, instead, the research design and methods should be chosen to fit the specific research question at hand – "questions before methods" [ 2 , 7 , 8 , 9 ]. This means that even when an RCT is possible, some research problems require a different design that is better suited to addressing them. Arguing in JAMA, Berwick uses the example of rapid response teams in hospitals, which he describes as " a complex, multicomponent intervention – essentially a process of social change" susceptible to a range of different context factors including leadership or organisation history. According to him, "[in] such complex terrain, the RCT is an impoverished way to learn. Critics who use it as a truth standard in this context are incorrect" [ 8 ] . Instead of limiting oneself to RCTs, Berwick recommends embracing a wider range of methods , including qualitative ones, which for "these specific applications, (...) are not compromises in learning how to improve; they are superior" [ 8 ].

Research problems that can be approached particularly well using qualitative methods include assessing complex multi-component interventions or systems (of change), addressing questions beyond “what works”, towards “what works for whom when, how and why”, and focussing on intervention improvement rather than accreditation [ 7 , 9 , 10 , 11 , 12 ]. Using qualitative methods can also help shed light on the “softer” side of medical treatment. For example, while quantitative trials can measure the costs and benefits of neuro-oncological treatment in terms of survival rates or adverse effects, qualitative research can help provide a better understanding of patient or caregiver stress, visibility of illness or out-of-pocket expenses.

How to conduct qualitative research?

Given that qualitative research is characterised by flexibility, openness and responsivity to context, the steps of data collection and analysis are not as separate and consecutive as they tend to be in quantitative research [ 13 , 14 ]. As Fossey puts it : “sampling, data collection, analysis and interpretation are related to each other in a cyclical (iterative) manner, rather than following one after another in a stepwise approach” [ 15 ]. The researcher can make educated decisions with regard to the choice of method, how they are implemented, and to which and how many units they are applied [ 13 ]. As shown in Fig.  1 , this can involve several back-and-forth steps between data collection and analysis where new insights and experiences can lead to adaption and expansion of the original plan. Some insights may also necessitate a revision of the research question and/or the research design as a whole. The process ends when saturation is achieved, i.e. when no relevant new information can be found (see also below: sampling and saturation). For reasons of transparency, it is essential for all decisions as well as the underlying reasoning to be well-documented.

Iterative research process

While it is not always explicitly addressed, qualitative methods reflect a different underlying research paradigm than quantitative research (e.g. constructivism or interpretivism as opposed to positivism). The choice of methods can be based on the respective underlying substantive theory or theoretical framework used by the researcher [ 2 ].

Data collection

The methods of qualitative data collection most commonly used in health research are document study, observations, semi-structured interviews and focus groups [ 1 , 14 , 16 , 17 ].

Document study

Document study (also called document analysis) refers to the review by the researcher of written materials [ 14 ]. These can include personal and non-personal documents such as archives, annual reports, guidelines, policy documents, diaries or letters.

Observations

Observations are particularly useful to gain insights into a certain setting and actual behaviour – as opposed to reported behaviour or opinions [ 13 ]. Qualitative observations can be either participant or non-participant in nature. In participant observations, the observer is part of the observed setting, for example a nurse working in an intensive care unit [ 18 ]. In non-participant observations, the observer is “on the outside looking in”, i.e. present in but not part of the situation, trying not to influence the setting by their presence. Observations can be planned (e.g. for 3 h during the day or night shift) or ad hoc (e.g. as soon as a stroke patient arrives at the emergency room). During the observation, the observer takes notes on everything or certain pre-determined parts of what is happening around them, for example focusing on physician-patient interactions or communication between different professional groups. Written notes can be taken during or after the observations, depending on feasibility (which is usually lower during participant observations) and acceptability (e.g. when the observer is perceived to be judging the observed). Afterwards, these field notes are transcribed into observation protocols. If more than one observer was involved, field notes are taken independently, but notes can be consolidated into one protocol after discussions. Advantages of conducting observations include minimising the distance between the researcher and the researched, the potential discovery of topics that the researcher did not realise were relevant and gaining deeper insights into the real-world dimensions of the research problem at hand [ 18 ].

Semi-structured interviews

Hijmans & Kuyper describe qualitative interviews as “an exchange with an informal character, a conversation with a goal” [ 19 ]. Interviews are used to gain insights into a person’s subjective experiences, opinions and motivations – as opposed to facts or behaviours [ 13 ]. Interviews can be distinguished by the degree to which they are structured (i.e. a questionnaire), open (e.g. free conversation or autobiographical interviews) or semi-structured [ 2 , 13 ]. Semi-structured interviews are characterized by open-ended questions and the use of an interview guide (or topic guide/list) in which the broad areas of interest, sometimes including sub-questions, are defined [ 19 ]. The pre-defined topics in the interview guide can be derived from the literature, previous research or a preliminary method of data collection, e.g. document study or observations. The topic list is usually adapted and improved at the start of the data collection process as the interviewer learns more about the field [ 20 ]. Across interviews the focus on the different (blocks of) questions may differ and some questions may be skipped altogether (e.g. if the interviewee is not able or willing to answer the questions or for concerns about the total length of the interview) [ 20 ]. Qualitative interviews are usually not conducted in written format as it impedes on the interactive component of the method [ 20 ]. In comparison to written surveys, qualitative interviews have the advantage of being interactive and allowing for unexpected topics to emerge and to be taken up by the researcher. This can also help overcome a provider or researcher-centred bias often found in written surveys, which by nature, can only measure what is already known or expected to be of relevance to the researcher. Interviews can be audio- or video-taped; but sometimes it is only feasible or acceptable for the interviewer to take written notes [ 14 , 16 , 20 ].

Focus groups

Focus groups are group interviews to explore participants’ expertise and experiences, including explorations of how and why people behave in certain ways [ 1 ]. Focus groups usually consist of 6–8 people and are led by an experienced moderator following a topic guide or “script” [ 21 ]. They can involve an observer who takes note of the non-verbal aspects of the situation, possibly using an observation guide [ 21 ]. Depending on researchers’ and participants’ preferences, the discussions can be audio- or video-taped and transcribed afterwards [ 21 ]. Focus groups are useful for bringing together homogeneous (to a lesser extent heterogeneous) groups of participants with relevant expertise and experience on a given topic on which they can share detailed information [ 21 ]. Focus groups are a relatively easy, fast and inexpensive method to gain access to information on interactions in a given group, i.e. “the sharing and comparing” among participants [ 21 ]. Disadvantages include less control over the process and a lesser extent to which each individual may participate. Moreover, focus group moderators need experience, as do those tasked with the analysis of the resulting data. Focus groups can be less appropriate for discussing sensitive topics that participants might be reluctant to disclose in a group setting [ 13 ]. Moreover, attention must be paid to the emergence of “groupthink” as well as possible power dynamics within the group, e.g. when patients are awed or intimidated by health professionals.

Choosing the “right” method

As explained above, the school of thought underlying qualitative research assumes no objective hierarchy of evidence and methods. This means that each choice of single or combined methods has to be based on the research question that needs to be answered and a critical assessment with regard to whether or to what extent the chosen method can accomplish this – i.e. the “fit” between question and method [ 14 ]. It is necessary for these decisions to be documented when they are being made, and to be critically discussed when reporting methods and results.

Let us assume that our research aim is to examine the (clinical) processes around acute endovascular treatment (EVT), from the patient’s arrival at the emergency room to recanalization, with the aim to identify possible causes for delay and/or other causes for sub-optimal treatment outcome. As a first step, we could conduct a document study of the relevant standard operating procedures (SOPs) for this phase of care – are they up-to-date and in line with current guidelines? Do they contain any mistakes, irregularities or uncertainties that could cause delays or other problems? Regardless of the answers to these questions, the results have to be interpreted based on what they are: a written outline of what care processes in this hospital should look like. If we want to know what they actually look like in practice, we can conduct observations of the processes described in the SOPs. These results can (and should) be analysed in themselves, but also in comparison to the results of the document analysis, especially as regards relevant discrepancies. Do the SOPs outline specific tests for which no equipment can be observed or tasks to be performed by specialized nurses who are not present during the observation? It might also be possible that the written SOP is outdated, but the actual care provided is in line with current best practice. In order to find out why these discrepancies exist, it can be useful to conduct interviews. Are the physicians simply not aware of the SOPs (because their existence is limited to the hospital’s intranet) or do they actively disagree with them or does the infrastructure make it impossible to provide the care as described? Another rationale for adding interviews is that some situations (or all of their possible variations for different patient groups or the day, night or weekend shift) cannot practically or ethically be observed. In this case, it is possible to ask those involved to report on their actions – being aware that this is not the same as the actual observation. A senior physician’s or hospital manager’s description of certain situations might differ from a nurse’s or junior physician’s one, maybe because they intentionally misrepresent facts or maybe because different aspects of the process are visible or important to them. In some cases, it can also be relevant to consider to whom the interviewee is disclosing this information – someone they trust, someone they are otherwise not connected to, or someone they suspect or are aware of being in a potentially “dangerous” power relationship to them. Lastly, a focus group could be conducted with representatives of the relevant professional groups to explore how and why exactly they provide care around EVT. The discussion might reveal discrepancies (between SOPs and actual care or between different physicians) and motivations to the researchers as well as to the focus group members that they might not have been aware of themselves. For the focus group to deliver relevant information, attention has to be paid to its composition and conduct, for example, to make sure that all participants feel safe to disclose sensitive or potentially problematic information or that the discussion is not dominated by (senior) physicians only. The resulting combination of data collection methods is shown in Fig.  2 .

Possible combination of data collection methods

Attributions for icons: “Book” by Serhii Smirnov, “Interview” by Adrien Coquet, FR, “Magnifying Glass” by anggun, ID, “Business communication” by Vectors Market; all from the Noun Project

The combination of multiple data source as described for this example can be referred to as “triangulation”, in which multiple measurements are carried out from different angles to achieve a more comprehensive understanding of the phenomenon under study [ 22 , 23 ].

Data analysis

To analyse the data collected through observations, interviews and focus groups these need to be transcribed into protocols and transcripts (see Fig.  3 ). Interviews and focus groups can be transcribed verbatim , with or without annotations for behaviour (e.g. laughing, crying, pausing) and with or without phonetic transcription of dialects and filler words, depending on what is expected or known to be relevant for the analysis. In the next step, the protocols and transcripts are coded , that is, marked (or tagged, labelled) with one or more short descriptors of the content of a sentence or paragraph [ 2 , 15 , 23 ]. Jansen describes coding as “connecting the raw data with “theoretical” terms” [ 20 ]. In a more practical sense, coding makes raw data sortable. This makes it possible to extract and examine all segments describing, say, a tele-neurology consultation from multiple data sources (e.g. SOPs, emergency room observations, staff and patient interview). In a process of synthesis and abstraction, the codes are then grouped, summarised and/or categorised [ 15 , 20 ]. The end product of the coding or analysis process is a descriptive theory of the behavioural pattern under investigation [ 20 ]. The coding process is performed using qualitative data management software, the most common ones being InVivo, MaxQDA and Atlas.ti. It should be noted that these are data management tools which support the analysis performed by the researcher(s) [ 14 ].

From data collection to data analysis

Attributions for icons: see Fig. 2 , also “Speech to text” by Trevor Dsouza, “Field Notes” by Mike O’Brien, US, “Voice Record” by ProSymbols, US, “Inspection” by Made, AU, and “Cloud” by Graphic Tigers; all from the Noun Project

How to report qualitative research?

Protocols of qualitative research can be published separately and in advance of the study results. However, the aim is not the same as in RCT protocols, i.e. to pre-define and set in stone the research questions and primary or secondary endpoints. Rather, it is a way to describe the research methods in detail, which might not be possible in the results paper given journals’ word limits. Qualitative research papers are usually longer than their quantitative counterparts to allow for deep understanding and so-called “thick description”. In the methods section, the focus is on transparency of the methods used, including why, how and by whom they were implemented in the specific study setting, so as to enable a discussion of whether and how this may have influenced data collection, analysis and interpretation. The results section usually starts with a paragraph outlining the main findings, followed by more detailed descriptions of, for example, the commonalities, discrepancies or exceptions per category [ 20 ]. Here it is important to support main findings by relevant quotations, which may add information, context, emphasis or real-life examples [ 20 , 23 ]. It is subject to debate in the field whether it is relevant to state the exact number or percentage of respondents supporting a certain statement (e.g. “Five interviewees expressed negative feelings towards XYZ”) [ 21 ].

How to combine qualitative with quantitative research?

Qualitative methods can be combined with other methods in multi- or mixed methods designs, which “[employ] two or more different methods [ …] within the same study or research program rather than confining the research to one single method” [ 24 ]. Reasons for combining methods can be diverse, including triangulation for corroboration of findings, complementarity for illustration and clarification of results, expansion to extend the breadth and range of the study, explanation of (unexpected) results generated with one method with the help of another, or offsetting the weakness of one method with the strength of another [ 1 , 17 , 24 , 25 , 26 ]. The resulting designs can be classified according to when, why and how the different quantitative and/or qualitative data strands are combined. The three most common types of mixed method designs are the convergent parallel design , the explanatory sequential design and the exploratory sequential design. The designs with examples are shown in Fig.  4 .

Three common mixed methods designs

In the convergent parallel design, a qualitative study is conducted in parallel to and independently of a quantitative study, and the results of both studies are compared and combined at the stage of interpretation of results. Using the above example of EVT provision, this could entail setting up a quantitative EVT registry to measure process times and patient outcomes in parallel to conducting the qualitative research outlined above, and then comparing results. Amongst other things, this would make it possible to assess whether interview respondents’ subjective impressions of patients receiving good care match modified Rankin Scores at follow-up, or whether observed delays in care provision are exceptions or the rule when compared to door-to-needle times as documented in the registry. In the explanatory sequential design, a quantitative study is carried out first, followed by a qualitative study to help explain the results from the quantitative study. This would be an appropriate design if the registry alone had revealed relevant delays in door-to-needle times and the qualitative study would be used to understand where and why these occurred, and how they could be improved. In the exploratory design, the qualitative study is carried out first and its results help informing and building the quantitative study in the next step [ 26 ]. If the qualitative study around EVT provision had shown a high level of dissatisfaction among the staff members involved, a quantitative questionnaire investigating staff satisfaction could be set up in the next step, informed by the qualitative study on which topics dissatisfaction had been expressed. Amongst other things, the questionnaire design would make it possible to widen the reach of the research to more respondents from different (types of) hospitals, regions, countries or settings, and to conduct sub-group analyses for different professional groups.

How to assess qualitative research?

A variety of assessment criteria and lists have been developed for qualitative research, ranging in their focus and comprehensiveness [ 14 , 17 , 27 ]. However, none of these has been elevated to the “gold standard” in the field. In the following, we therefore focus on a set of commonly used assessment criteria that, from a practical standpoint, a researcher can look for when assessing a qualitative research report or paper.

Assessors should check the authors’ use of and adherence to the relevant reporting checklists (e.g. Standards for Reporting Qualitative Research (SRQR)) to make sure all items that are relevant for this type of research are addressed [ 23 , 28 ]. Discussions of quantitative measures in addition to or instead of these qualitative measures can be a sign of lower quality of the research (paper). Providing and adhering to a checklist for qualitative research contributes to an important quality criterion for qualitative research, namely transparency [ 15 , 17 , 23 ].

Reflexivity

While methodological transparency and complete reporting is relevant for all types of research, some additional criteria must be taken into account for qualitative research. This includes what is called reflexivity, i.e. sensitivity to the relationship between the researcher and the researched, including how contact was established and maintained, or the background and experience of the researcher(s) involved in data collection and analysis. Depending on the research question and population to be researched this can be limited to professional experience, but it may also include gender, age or ethnicity [ 17 , 27 ]. These details are relevant because in qualitative research, as opposed to quantitative research, the researcher as a person cannot be isolated from the research process [ 23 ]. It may influence the conversation when an interviewed patient speaks to an interviewer who is a physician, or when an interviewee is asked to discuss a gynaecological procedure with a male interviewer, and therefore the reader must be made aware of these details [ 19 ].

Sampling and saturation

The aim of qualitative sampling is for all variants of the objects of observation that are deemed relevant for the study to be present in the sample “ to see the issue and its meanings from as many angles as possible” [ 1 , 16 , 19 , 20 , 27 ] , and to ensure “information-richness [ 15 ]. An iterative sampling approach is advised, in which data collection (e.g. five interviews) is followed by data analysis, followed by more data collection to find variants that are lacking in the current sample. This process continues until no new (relevant) information can be found and further sampling becomes redundant – which is called saturation [ 1 , 15 ] . In other words: qualitative data collection finds its end point not a priori , but when the research team determines that saturation has been reached [ 29 , 30 ].

This is also the reason why most qualitative studies use deliberate instead of random sampling strategies. This is generally referred to as “ purposive sampling” , in which researchers pre-define which types of participants or cases they need to include so as to cover all variations that are expected to be of relevance, based on the literature, previous experience or theory (i.e. theoretical sampling) [ 14 , 20 ]. Other types of purposive sampling include (but are not limited to) maximum variation sampling, critical case sampling or extreme or deviant case sampling [ 2 ]. In the above EVT example, a purposive sample could include all relevant professional groups and/or all relevant stakeholders (patients, relatives) and/or all relevant times of observation (day, night and weekend shift).

Assessors of qualitative research should check whether the considerations underlying the sampling strategy were sound and whether or how researchers tried to adapt and improve their strategies in stepwise or cyclical approaches between data collection and analysis to achieve saturation [ 14 ].

Good qualitative research is iterative in nature, i.e. it goes back and forth between data collection and analysis, revising and improving the approach where necessary. One example of this are pilot interviews, where different aspects of the interview (especially the interview guide, but also, for example, the site of the interview or whether the interview can be audio-recorded) are tested with a small number of respondents, evaluated and revised [ 19 ]. In doing so, the interviewer learns which wording or types of questions work best, or which is the best length of an interview with patients who have trouble concentrating for an extended time. Of course, the same reasoning applies to observations or focus groups which can also be piloted.

Ideally, coding should be performed by at least two researchers, especially at the beginning of the coding process when a common approach must be defined, including the establishment of a useful coding list (or tree), and when a common meaning of individual codes must be established [ 23 ]. An initial sub-set or all transcripts can be coded independently by the coders and then compared and consolidated after regular discussions in the research team. This is to make sure that codes are applied consistently to the research data.

Member checking

Member checking, also called respondent validation , refers to the practice of checking back with study respondents to see if the research is in line with their views [ 14 , 27 ]. This can happen after data collection or analysis or when first results are available [ 23 ]. For example, interviewees can be provided with (summaries of) their transcripts and asked whether they believe this to be a complete representation of their views or whether they would like to clarify or elaborate on their responses [ 17 ]. Respondents’ feedback on these issues then becomes part of the data collection and analysis [ 27 ].

Stakeholder involvement

In those niches where qualitative approaches have been able to evolve and grow, a new trend has seen the inclusion of patients and their representatives not only as study participants (i.e. “members”, see above) but as consultants to and active participants in the broader research process [ 31 , 32 , 33 ]. The underlying assumption is that patients and other stakeholders hold unique perspectives and experiences that add value beyond their own single story, making the research more relevant and beneficial to researchers, study participants and (future) patients alike [ 34 , 35 ]. Using the example of patients on or nearing dialysis, a recent scoping review found that 80% of clinical research did not address the top 10 research priorities identified by patients and caregivers [ 32 , 36 ]. In this sense, the involvement of the relevant stakeholders, especially patients and relatives, is increasingly being seen as a quality indicator in and of itself.

How not to assess qualitative research

The above overview does not include certain items that are routine in assessments of quantitative research. What follows is a non-exhaustive, non-representative, experience-based list of the quantitative criteria often applied to the assessment of qualitative research, as well as an explanation of the limited usefulness of these endeavours.

Protocol adherence

Given the openness and flexibility of qualitative research, it should not be assessed by how well it adheres to pre-determined and fixed strategies – in other words: its rigidity. Instead, the assessor should look for signs of adaptation and refinement based on lessons learned from earlier steps in the research process.

Sample size

For the reasons explained above, qualitative research does not require specific sample sizes, nor does it require that the sample size be determined a priori [ 1 , 14 , 27 , 37 , 38 , 39 ]. Sample size can only be a useful quality indicator when related to the research purpose, the chosen methodology and the composition of the sample, i.e. who was included and why.

Randomisation

While some authors argue that randomisation can be used in qualitative research, this is not commonly the case, as neither its feasibility nor its necessity or usefulness has been convincingly established for qualitative research [ 13 , 27 ]. Relevant disadvantages include the negative impact of a too large sample size as well as the possibility (or probability) of selecting “ quiet, uncooperative or inarticulate individuals ” [ 17 ]. Qualitative studies do not use control groups, either.

Interrater reliability, variability and other “objectivity checks”

The concept of “interrater reliability” is sometimes used in qualitative research to assess to which extent the coding approach overlaps between the two co-coders. However, it is not clear what this measure tells us about the quality of the analysis [ 23 ]. This means that these scores can be included in qualitative research reports, preferably with some additional information on what the score means for the analysis, but it is not a requirement. Relatedly, it is not relevant for the quality or “objectivity” of qualitative research to separate those who recruited the study participants and collected and analysed the data. Experiences even show that it might be better to have the same person or team perform all of these tasks [ 20 ]. First, when researchers introduce themselves during recruitment this can enhance trust when the interview takes place days or weeks later with the same researcher. Second, when the audio-recording is transcribed for analysis, the researcher conducting the interviews will usually remember the interviewee and the specific interview situation during data analysis. This might be helpful in providing additional context information for interpretation of data, e.g. on whether something might have been meant as a joke [ 18 ].

Not being quantitative research

Being qualitative research instead of quantitative research should not be used as an assessment criterion if it is used irrespectively of the research problem at hand. Similarly, qualitative research should not be required to be combined with quantitative research per se – unless mixed methods research is judged as inherently better than single-method research. In this case, the same criterion should be applied for quantitative studies without a qualitative component.

The main take-away points of this paper are summarised in Table 1 . We aimed to show that, if conducted well, qualitative research can answer specific research questions that cannot to be adequately answered using (only) quantitative designs. Seeing qualitative and quantitative methods as equal will help us become more aware and critical of the “fit” between the research problem and our chosen methods: I can conduct an RCT to determine the reasons for transportation delays of acute stroke patients – but should I? It also provides us with a greater range of tools to tackle a greater range of research problems more appropriately and successfully, filling in the blind spots on one half of the methodological spectrum to better address the whole complexity of neurological research and practice.

Availability of data and materials

Not applicable.

Abbreviations

Endovascular treatment

Randomised Controlled Trial

Standard Operating Procedure

Standards for Reporting Qualitative Research

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Busetto, L., Wick, W. & Gumbinger, C. How to use and assess qualitative research methods. Neurol. Res. Pract. 2 , 14 (2020). https://doi.org/10.1186/s42466-020-00059-z

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Research Journals

The qualitative report guide to qualitative research journals, curated by ronald j. chenail.

The Qualitative Report Guide to Qualitative Research Journals is a unique resource for researchers, scholars, and students to explore the world of professional, scholarly, and academic journals publishing qualitative research. The number and variety of journals focusing primarily on qualitative approaches to research have steadily grown over the last forty years. From discipline- or profession-specific to trans-, cross-, and multidisciplinary missions, these journals represent a richly diverse approach to qualitative inquiry.

Acta Ethnographica Hungarica: An International Journal of Sociocultural Anthropology (First Issue: 1955)

Action Research  (First Issue: 2003)

Action Research Electronic Reader  (First Issue: 1997)

Action Research International  (First Issue: 1998)

AI Practitioner  (First Issue: 2003)

ALARA Journal  (First Issue: 1996)

American Ethnologist  (First Issue: 1974)

American Journal of Qualitative Research (First Issue: 2017)

Anthropology and Education Quarterly  (First Issue: 1970)

The Applied Anthropologist  (First Issue: 1981)

Biograf: časopis pro kvalitativní výzkum (Biograf: journal for qualitative research)  (First Issue: 1994)  (English Version )

Cadernos de Arte e Antropologia  (First Issue: 2012)

The Canadian Journal of Action Research  (First Issue: 2011; Formerly  Ontario Action Researcher

Commoning Ethnography (First Issue: 2018)

Critical Approaches to Discourse Analysis Across Disciplines  (First Issue: 2007)

Critical Discourse Studies  (First Issue: 2004)

Cultural Anthropology  (First issue: 1986)

Cultural Studies <=> Critical Methodologies  (First Issue: 2001)

Current Narratives  (First Issue: 2009)

Departures in Critical Qualitative Research (First Issue: 2012) (This journal was formally known as Qualitative Communication Research )

Discourse Analysis Online  (First Issue: 2003)

Discourse, Context and Media  (First Issue: 2012)

Discourse Processes  (First Issue: 1978)

Discourse Studies  (First Issue: 1999)

Educational Action Research  (First Issue: 1993)

Electronic Journal of Sociology  (First Issue: 1995)

Entanglements: Experiments in Multimodal Ethnography (First Issue: 2018)

Ethnographic Encounters  (First Issue: 2012)

ethnographiques.org  (First Issue: 2002)

Ethnography  (First Issue: 2000)

Ethnography and Education  (First Issue: 2006)

Ethnologia Europaea  (Journal of European Ethnology, First issue: 1967)

Etnográfica (First issue: 1997)

Etnografia e ricerca qualitativa (Ethnography and Qualitative Research) (First issue: 2008)

European Journal for Qualitative Research in Psychotherapy  (First Issue: 2006)

Feminism & Psychology (First Issue: 1991)

Field Methods  (First Issue: 1989) (Formerly Cultural Anthropology Methods CAM Journal)

Forum Qualitative Sozialforschung

(Forum: Qualitative Social Research)  (First Issue: 2000)

Gestalt Theory: An International Multidisciplinary Journal  (First Issue: 1978)

Global Ethnographic: An Online Magazine of Interpretive Anthropology  (First Issue: 2009)

Global Qualitative Nursing Research  (First Issue: 2015)

The Grounded Theory Review  (First Issue: 1999)

HAU: Journal of Ethnographic Theory  (First Issue: 2011)

The Indo-Pacific Journal of Phenomenology  (First Issue: 2001)

International Journal of Action Research  (First Issue: 2005)

International Journal of Qualitative Methods  (First Issue: 2002)

International Journal of Qualitative Research (First Issue: 2021)

International Journal of Qualitative Research in Services  (First Issue: 2013)

International Journal of Qualitative Studies in Education  (First Issue: 1988)

International Journal of Qualitative Studies on Health and Well-Being  (First Issue: 2006)

International Journal of Social Research Methodology  (First Issue: 1998)

International Review of Qualitative Research  (First Issue: 2008)

Investigación Cualitativa (First issue: 2016)

日本質的心理学会 (Japanese Journal of Qualitative Psychology) (First Issue: 2002)

Le Journal des anthropologues  (First Issue: 1990)

The Journal for Undergraduate Ethnography  (First Issue: 2011)

Journal of Autoethnography (First Issue: 2020)

Journal of Business Anthropology  (First Issue: 2011)

Journal of Contemporary Ethnography  (First Issue: 1972) (Formerly Urban Life and Culture)

Journal of Qualitative Research in Education (Eğitimde Nitel Araştırmalar Dergisi – ENAD, First Issue: 2013)

Journal of Ethnographic & Qualitative Research  (First Issue: 2007)

Journal of Mixed Methods Research  (First Issue: 2007)

Journal of Museum Ethnography  (First Issue: 1976)

Journal of Organizational Ethnography  (First Issue: 2012)

Journal of Phenomenological Psychology  (First Issue: 1970)

Journal of Qualitative Criminal Justice & Criminology  (First Issue: 2013)

تحقیقات کیفی در علوم سلامت (Journal of Qualitative Research in Health Sciences) (First Issue: 2019)

Journal of Qualitative Research in Tourism (First Issue: 2020)

Journal of Video Ethnography  (First Issue: 2014)

Kaleidoscope: A Graduate Journal of Qualitative Communication Research  (First Issue: 2002)

KWALON, tijdschrift voor kwalitatief onderzoek (JOurnal for Qualitative Research)  (First Issue: 1996)

The Malaysian Journal of Qualitative Research  (First Issue: 2005)

Medical Anthropology Quarterly  (First Issue: 1970)

Medicine Anthropology Theory (MAT) (First Issue: 2014)

Medische Antropologie (Medical Anthropology)  (First Issue: 1989)

Methodological Innovations Online  (First Issue: 2006)

Moroccan Journal of Quantitative and Qualitative Research (First Issue: 2019)

MOTRICIDADES: Revista da Sociedade de Pesquisa Qualitativa em Motricidade Humana (First Issue: 2017)

Murmurations: Journal of Transformative Systemic Practice  (First Issue: 2017)

Museum Anthropology (First Issue: 1976)

Narrative Inquiry (First Issue: 1991) (Formerly Journal of Narrative and Life History; ( Old Web Page )

Narrative Inquiry in Bioethics: A Journal of Qualitative Research  (First Issue: 2011)

Narrative Works: Issues, Investigations & Interventions  (First Issue: 2011)

New Trends in Qualitative Research (First Issue: 2021)

Nitel Sosyal Bilimler (Qualitative Social Sciences) (First Issue: 2020)

Ontario Action Researcher  (First Issue: 1998; Name changed to > The Canadian Journal of Action Research  in 2011)

PhaenEx: Journal of Existential and Phenomenological Theory and Culture  (First Issue: 2006)

Phenomenology & Practice  (First Issue: 2007)

Phenomenology and the Cognitive Sciences  (First Issue: 2001)

Poroi: An Interdisciplinary Journal of Rhetorical Analysis and Invention  (First Issue: 2001)

Pragmatic Case Studies in Psychotherapy  (First Issue: 2005)

Psychotherapie & Sozialwissenschaft (Psychotherapy & Social Science, First Issue: 2005)

QRSIG: Newsletter of the AERA Qualitative Research Interest Group  (First Issue: 2007)

QQML: Qualitative and Quantitative Methods in Libraries (First issue: 2012)

Qualitative Health Research  (First Issue: 1991)

Qualitative Inquiries in Music Therapy: A Monograph Series  (First Issue: 2004)

Qualitative Inquiry  (First Issue: 1995)

Qualitative Market Research: An International Journal  (First Issue: 1994)

Qualitative and Multi-Method Research (First Issue: 2014)

(Formerly Qualitative Methods)

Qualitative Psychology  (First Issue: 2014)

質的心理学フォーラム (Qualitative Psychology Forums) (First Issue: 2009)

The Qualitative Report  (First Issue: 1990)

Qualitative Research  (First Issue: 2001)

Qualitative Research in Accounting & Management (First issue: 2004)

Qualitative Research in Education  (First Issue: 2012)

Qualitative Research in Medicine & Healthcare (First Issue: 2017)

Qualitative Research in Organizations and Management: An International Journal  (First Issue: 2005)

Qualitative Research in Psychology  (First Issue: 2004)

Qualitative Research in Sport, Exercise, and Health  (First Issue: 2009)

Qualitative Research Journal (First issue: 2002)

Qualitative Research Reports in Communication  (First Issue: 2000)

Qualitative Researcher  (First Issue: 2005)

Qualitative Social Work: Research and Practice  (First Issue: 2002)

Qualitative Sociology  (First Issue: 1978)

Przeglądu Socjologii Jakościowej! (Qualitative Sociology Review)  (First Issue: 2005)

Qualitative Studies  (First Issue: 2009)

Quality and Quantity: International Journal of Methodology  (First Issue: 1967)

QUILT: Journal of Qualitative Health Research & Case Studies Reports (iphorr.com) (First Issue: 2021)

QuiViRR: Qualitative Video Research Reports (First Issue: 2020)

QuPuG – Journal für Qualitative Forschung in Pflege- und Gesundheitswissenschaft (Journal of Qualitative Research in Nursing and Health Sciences) (First Issue: 2014)

Recherches qualitatives  (First Issue: 1989)

Research in Phenomenology  (First Issue: 1971)

Revista Pesquisa Qualitativa (Qualitative Research Journal) (First Issue: 2005)

Revue Internationale d’Ethnographie (First Issue: 2013) (Formerly Revue Européenne d’Ethnographie de l’Education)

Sociological Research Online  (First Issue: 1996)

Social Research Update  (First Issue: 1993)

The Socjournal: A New Media Journal of Sociology and Society  (First Issue: 2010)

SSM – Qualitative Research in Health (First Issue: 2021)

Student Anthropologist  (First Issue: 2014)

Symbolic Interaction  (First Issue: 1977)

Tamara Journal for Critical Organization Inquiry  (First Issue: 2002) (Formerly Tamara Journal for Critical Post Modern Organization)

Terrain  (First Issue: 1983)

Turkish Online Journal of Qualitative Inquiry  (First Issue: 2010)

Visual Ethnography  (First Issue: 2012)

Visual Studies  (First Issue: 1986)

Vitae Scholasticae: The Journal of Educational Biography (First Issue: 1983)

The Weekly Qualitative Report  (First Issue: 2008)

ZQF – Zeitschrift für Qualitative Forschung (First issue: 1999)

Academic Integrity and Artificial Intelligence in Higher Education (HE) Contexts: A Rapid Scoping Review

• Helen Pethrick University of Calgary
• Jason Wiens University of Calgary

Artificial Intelligence (AI) developments challenge higher education institutions’ teaching, learning, assessment, and research practices. To contribute timely and evidence-based recommendations for upholding academic integrity, we conducted a rapid scoping review focusing on what is known about academic integrity and AI in higher education. We followed the Updated Reviewer Manual for Scoping Reviews from the Joanna Briggs Institute (JBI) and the Preferred Reporting Items for Systematic reviews Meta-Analysis for Scoping Reviews (PRISMA-ScR) reporting standards. Five databases were searched, and the eligibility criteria included higher education stakeholders of any age and gender engaged with AI in the context of academic integrity from 2007 through November 2022 and available in English. The search retrieved 2223 records, of which 14 publications with mixed methods, qualitative, quantitative, randomized controlled trials, and text and opinion studies met the inclusion criteria. The results showed bounded and unbounded ethical implications of AI. Perspectives included: AI for cheating; AI as legitimate support; an equity, diversity, and inclusion lens into AI; and emerging recommendations to tackle AI implications in higher education. The evidence from the sources provides guidance that can inform educational stakeholders in decision-making processes for AI integration, in the analysis of misconduct cases involving AI, and in the exploration of AI as legitimate assistance. Likewise, this rapid scoping review signals key questions for future research, which we explore in our discussion.

Author Biographies

Beatriz antonieta moya, university of calgary.

Beatriz Moya is a Ph.D. candidate in the Werklund School of Education at the University of Calgary in the Educational Research program, specializing in Leadership. Her primary motivation as a student researcher is to contribute to the continuous transformation of higher education institutions’ cultures to pursue academic and research integrity and social justice. For this reason, Beatriz situates herself at the intersections of the Scholarship of Teaching and Learning (SoTL), Leadership, and Academic Integrity. In this space, Beatriz is currently involved in projects seeking to contribute to a ‘glocal’ scholarly dialogue concerning academic integrity as a teaching and learning imperative. For instance, Beatriz is exploring the situated meanings and experiential insights from academic integrity educational leaders, and is also a contributing author for a chapter on academic integrity policy in Latin America in the Handbook of Academic Integrity (2nd ed.). 

Sarah Elaine Eaton, University of Calgary

Dr. Sarah Elaine Eaton, PhD, is an Associate Professor of Education at the University of Calgary, Canada. She served as the inaugural Educational Leader in Residence, Academic Integrity at Taylor Institute for Teaching and Learning, University of Calgary. Dr. Eaton’s research focuses on academic ethics in higher education. Her work can be found in the British Educational Research Journal, the Journal of Academic Ethics, and the Journal of Educational Thought and Interchange, among other places. She is the Editor-in-Chief of the International Journal for Educational Integrity (Springer Nature) and co-founder and co-editor of Canadian Perspectives on Academic Integrity. In 2020 she received the National Research and Scholarship award from the Canadian Society for the Study of Higher Education (CSSHE) for her contributions to research on academic integrity in Canadian higher education. In 2022, she received the outstanding research award from the European Network for Academic Integrity (ENAI). Her books include Plagiarism in Higher Education: Tackling Tough Topics in Academic Integrity, Academic Integrity in Canada: An Enduring and Essential Challenge (Eaton & Christensen Hughes, eds.), Contract Cheating in Higher Education: Global Perspectives on Theory, Practice, and Policy (Eaton, Curtis, Stoesz, Clare, Rundle, & Seeland, eds.) and Ethics and Integrity in Teacher Education (Eaton & Khan, eds.). 

Helen Pethrick, University of Calgary

Helen Pethrick, MA, is a researcher and educator in Calgary, Alberta, Canada. Helen’s research encompasses academic integrity in higher education, post-secondary student mental health, and mentorship in academia. Helen has interdisciplinary expertise in systematic literature review methodology, qualitative research, project management, and knowledge exchange. With Dr. Sarah Elaine Eaton and Jamie J. Carmichael, Helen is co-Editor of the volume Fake Degrees and Fraudulent Credentials in Higher Education (Eaton, Carmichael, & Pethrick, forthcoming 2023). Currently, Helen’s role is Research Associate, Academic Integrity, which involves acting as Project Manager (administrative) for the Academic Integrity and Artificial Intelligence project at the University of Calgary. 

K. Alix Hayden, University of Calgary

Dr. Alix Hayden is a Librarian at the University of Calgary.

Robert Brennan

Holds a PhD in mechanical engineering from the University of Calgary. He is a Professor of Mechanical and Manufacturing Engineering at the University of Calgary, holds the NSERC Chair in Design Engineering, and has served as President of the Canadian Engineering Education Association (CEEA). His research interests range from engineering education to intelligent automation and control systems.  

Jason Wiens, University of Calgary

Dr. Wiens is a Professor (Teaching) in the Department of English at the University of Calgary. His areas of research interest include contemporary poetry, Canadian literature, archival studies, literary audio, and pedagogy.  He has published articles in numerous journals including LIT: Literature Interpretation Theory, Canadian Literature, Studies on Canadian Writing, and Canadian Poetry. He has recently guest edited a special issue of English Studies in Canada on "Pedagogies of the Archive." He is currently a co-investigator on the SSHRC Partnership project The SpokenWeb, and is a co-investigator on the Academic Integrity and Artificial Intelligence project at the University of Calgary.  

Brenda McDermott, University of Calgary

Dr. McDermott completed her PhD in communication studies at the University of Calgary.  Her research involves looking at ableism embedded in teaching and learning practices, particular assessment. She regularly provided training to faculty to help creating learning environments that reflect the diversity of learners.  

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Fostering Academia–Industry R&D Partnerships: A Study in the Indian Context Using Mixed Methods Approach

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• Mahak Bisen   ORCID: orcid.org/0009-0003-6426-1656 1 &
• Prakash Sai Lokachari   ORCID: orcid.org/0000-0002-1866-6228 1  

While existing studies demonstrated how academia–industry partnerships have contributed to R&D knowledge accumulation and technology transfer, the present study explores the multiple facets of academia–industry R&D partnerships that foster effective collaboration between the relevant stakeholders. Advanced Manufacturing Technology Development Center (AMTDC), a Center of Excellence (CoE) established in the Indian Institute of Technology (IIT) Madras Research Park, is chosen for this study. The study adopted a mixed methods approach by employing Interactive Qualitative Analysis (IQA) and Importance-Performance Analysis (IPA). IQA identified the factors influencing successful partnerships at the Center. The IQA findings suggest that 'Team Cohesion' is the primary driver and 'Center Reputation' is the primary outcome of successful R&D partnerships. The study compared academic and industry partners' perceived importance and performance of the enabling factors by employing the IPA. The IPA findings highlighted differences in partners' actions and expectations. The study findings contribute to the existing literature on academia–industry collaborations and partnerships. The study has implications for strengthening ties between academic and industry partners for the team's consideration.

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Bisen, M., Lokachari, P.S. Fostering Academia–Industry R&D Partnerships: A Study in the Indian Context Using Mixed Methods Approach. JGBC (2024). https://doi.org/10.1007/s42943-024-00091-9

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Qualitative Research: Data Collection, Analysis, and Management

Introduction.

In an earlier paper, 1 we presented an introduction to using qualitative research methods in pharmacy practice. In this article, we review some principles of the collection, analysis, and management of qualitative data to help pharmacists interested in doing research in their practice to continue their learning in this area. Qualitative research can help researchers to access the thoughts and feelings of research participants, which can enable development of an understanding of the meaning that people ascribe to their experiences. Whereas quantitative research methods can be used to determine how many people undertake particular behaviours, qualitative methods can help researchers to understand how and why such behaviours take place. Within the context of pharmacy practice research, qualitative approaches have been used to examine a diverse array of topics, including the perceptions of key stakeholders regarding prescribing by pharmacists and the postgraduation employment experiences of young pharmacists (see “Further Reading” section at the end of this article).

In the previous paper, 1 we outlined 3 commonly used methodologies: ethnography 2 , grounded theory 3 , and phenomenology. 4 Briefly, ethnography involves researchers using direct observation to study participants in their “real life” environment, sometimes over extended periods. Grounded theory and its later modified versions (e.g., Strauss and Corbin 5 ) use face-to-face interviews and interactions such as focus groups to explore a particular research phenomenon and may help in clarifying a less-well-understood problem, situation, or context. Phenomenology shares some features with grounded theory (such as an exploration of participants’ behaviour) and uses similar techniques to collect data, but it focuses on understanding how human beings experience their world. It gives researchers the opportunity to put themselves in another person’s shoes and to understand the subjective experiences of participants. 6 Some researchers use qualitative methodologies but adopt a different standpoint, and an example of this appears in the work of Thurston and others, 7 discussed later in this paper.

Qualitative work requires reflection on the part of researchers, both before and during the research process, as a way of providing context and understanding for readers. When being reflexive, researchers should not try to simply ignore or avoid their own biases (as this would likely be impossible); instead, reflexivity requires researchers to reflect upon and clearly articulate their position and subjectivities (world view, perspectives, biases), so that readers can better understand the filters through which questions were asked, data were gathered and analyzed, and findings were reported. From this perspective, bias and subjectivity are not inherently negative but they are unavoidable; as a result, it is best that they be articulated up-front in a manner that is clear and coherent for readers.

THE PARTICIPANT’S VIEWPOINT

What qualitative study seeks to convey is why people have thoughts and feelings that might affect the way they behave. Such study may occur in any number of contexts, but here, we focus on pharmacy practice and the way people behave with regard to medicines use (e.g., to understand patients’ reasons for nonadherence with medication therapy or to explore physicians’ resistance to pharmacists’ clinical suggestions). As we suggested in our earlier article, 1 an important point about qualitative research is that there is no attempt to generalize the findings to a wider population. Qualitative research is used to gain insights into people’s feelings and thoughts, which may provide the basis for a future stand-alone qualitative study or may help researchers to map out survey instruments for use in a quantitative study. It is also possible to use different types of research in the same study, an approach known as “mixed methods” research, and further reading on this topic may be found at the end of this paper.

The role of the researcher in qualitative research is to attempt to access the thoughts and feelings of study participants. This is not an easy task, as it involves asking people to talk about things that may be very personal to them. Sometimes the experiences being explored are fresh in the participant’s mind, whereas on other occasions reliving past experiences may be difficult. However the data are being collected, a primary responsibility of the researcher is to safeguard participants and their data. Mechanisms for such safeguarding must be clearly articulated to participants and must be approved by a relevant research ethics review board before the research begins. Researchers and practitioners new to qualitative research should seek advice from an experienced qualitative researcher before embarking on their project.

DATA COLLECTION

Whatever philosophical standpoint the researcher is taking and whatever the data collection method (e.g., focus group, one-to-one interviews), the process will involve the generation of large amounts of data. In addition to the variety of study methodologies available, there are also different ways of making a record of what is said and done during an interview or focus group, such as taking handwritten notes or video-recording. If the researcher is audio- or video-recording data collection, then the recordings must be transcribed verbatim before data analysis can begin. As a rough guide, it can take an experienced researcher/transcriber 8 hours to transcribe one 45-minute audio-recorded interview, a process than will generate 20–30 pages of written dialogue.

Many researchers will also maintain a folder of “field notes” to complement audio-taped interviews. Field notes allow the researcher to maintain and comment upon impressions, environmental contexts, behaviours, and nonverbal cues that may not be adequately captured through the audio-recording; they are typically handwritten in a small notebook at the same time the interview takes place. Field notes can provide important context to the interpretation of audio-taped data and can help remind the researcher of situational factors that may be important during data analysis. Such notes need not be formal, but they should be maintained and secured in a similar manner to audio tapes and transcripts, as they contain sensitive information and are relevant to the research. For more information about collecting qualitative data, please see the “Further Reading” section at the end of this paper.

DATA ANALYSIS AND MANAGEMENT

If, as suggested earlier, doing qualitative research is about putting oneself in another person’s shoes and seeing the world from that person’s perspective, the most important part of data analysis and management is to be true to the participants. It is their voices that the researcher is trying to hear, so that they can be interpreted and reported on for others to read and learn from. To illustrate this point, consider the anonymized transcript excerpt presented in Appendix 1 , which is taken from a research interview conducted by one of the authors (J.S.). We refer to this excerpt throughout the remainder of this paper to illustrate how data can be managed, analyzed, and presented.

Interpretation of Data

Interpretation of the data will depend on the theoretical standpoint taken by researchers. For example, the title of the research report by Thurston and others, 7 “Discordant indigenous and provider frames explain challenges in improving access to arthritis care: a qualitative study using constructivist grounded theory,” indicates at least 2 theoretical standpoints. The first is the culture of the indigenous population of Canada and the place of this population in society, and the second is the social constructivist theory used in the constructivist grounded theory method. With regard to the first standpoint, it can be surmised that, to have decided to conduct the research, the researchers must have felt that there was anecdotal evidence of differences in access to arthritis care for patients from indigenous and non-indigenous backgrounds. With regard to the second standpoint, it can be surmised that the researchers used social constructivist theory because it assumes that behaviour is socially constructed; in other words, people do things because of the expectations of those in their personal world or in the wider society in which they live. (Please see the “Further Reading” section for resources providing more information about social constructivist theory and reflexivity.) Thus, these 2 standpoints (and there may have been others relevant to the research of Thurston and others 7 ) will have affected the way in which these researchers interpreted the experiences of the indigenous population participants and those providing their care. Another standpoint is feminist standpoint theory which, among other things, focuses on marginalized groups in society. Such theories are helpful to researchers, as they enable us to think about things from a different perspective. Being aware of the standpoints you are taking in your own research is one of the foundations of qualitative work. Without such awareness, it is easy to slip into interpreting other people’s narratives from your own viewpoint, rather than that of the participants.

To analyze the example in Appendix 1 , we will adopt a phenomenological approach because we want to understand how the participant experienced the illness and we want to try to see the experience from that person’s perspective. It is important for the researcher to reflect upon and articulate his or her starting point for such analysis; for example, in the example, the coder could reflect upon her own experience as a female of a majority ethnocultural group who has lived within middle class and upper middle class settings. This personal history therefore forms the filter through which the data will be examined. This filter does not diminish the quality or significance of the analysis, since every researcher has his or her own filters; however, by explicitly stating and acknowledging what these filters are, the researcher makes it easer for readers to contextualize the work.

Transcribing and Checking

For the purposes of this paper it is assumed that interviews or focus groups have been audio-recorded. As mentioned above, transcribing is an arduous process, even for the most experienced transcribers, but it must be done to convert the spoken word to the written word to facilitate analysis. For anyone new to conducting qualitative research, it is beneficial to transcribe at least one interview and one focus group. It is only by doing this that researchers realize how difficult the task is, and this realization affects their expectations when asking others to transcribe. If the research project has sufficient funding, then a professional transcriber can be hired to do the work. If this is the case, then it is a good idea to sit down with the transcriber, if possible, and talk through the research and what the participants were talking about. This background knowledge for the transcriber is especially important in research in which people are using jargon or medical terms (as in pharmacy practice). Involving your transcriber in this way makes the work both easier and more rewarding, as he or she will feel part of the team. Transcription editing software is also available, but it is expensive. For example, ELAN (more formally known as EUDICO Linguistic Annotator, developed at the Technical University of Berlin) 8 is a tool that can help keep data organized by linking media and data files (particularly valuable if, for example, video-taping of interviews is complemented by transcriptions). It can also be helpful in searching complex data sets. Products such as ELAN do not actually automatically transcribe interviews or complete analyses, and they do require some time and effort to learn; nonetheless, for some research applications, it may be a valuable to consider such software tools.

All audio recordings should be transcribed verbatim, regardless of how intelligible the transcript may be when it is read back. Lines of text should be numbered. Once the transcription is complete, the researcher should read it while listening to the recording and do the following: correct any spelling or other errors; anonymize the transcript so that the participant cannot be identified from anything that is said (e.g., names, places, significant events); insert notations for pauses, laughter, looks of discomfort; insert any punctuation, such as commas and full stops (periods) (see Appendix 1 for examples of inserted punctuation), and include any other contextual information that might have affected the participant (e.g., temperature or comfort of the room).

Dealing with the transcription of a focus group is slightly more difficult, as multiple voices are involved. One way of transcribing such data is to “tag” each voice (e.g., Voice A, Voice B). In addition, the focus group will usually have 2 facilitators, whose respective roles will help in making sense of the data. While one facilitator guides participants through the topic, the other can make notes about context and group dynamics. More information about group dynamics and focus groups can be found in resources listed in the “Further Reading” section.

Reading between the Lines

During the process outlined above, the researcher can begin to get a feel for the participant’s experience of the phenomenon in question and can start to think about things that could be pursued in subsequent interviews or focus groups (if appropriate). In this way, one participant’s narrative informs the next, and the researcher can continue to interview until nothing new is being heard or, as it says in the text books, “saturation is reached”. While continuing with the processes of coding and theming (described in the next 2 sections), it is important to consider not just what the person is saying but also what they are not saying. For example, is a lengthy pause an indication that the participant is finding the subject difficult, or is the person simply deciding what to say? The aim of the whole process from data collection to presentation is to tell the participants’ stories using exemplars from their own narratives, thus grounding the research findings in the participants’ lived experiences.

Smith 9 suggested a qualitative research method known as interpretative phenomenological analysis, which has 2 basic tenets: first, that it is rooted in phenomenology, attempting to understand the meaning that individuals ascribe to their lived experiences, and second, that the researcher must attempt to interpret this meaning in the context of the research. That the researcher has some knowledge and expertise in the subject of the research means that he or she can have considerable scope in interpreting the participant’s experiences. Larkin and others 10 discussed the importance of not just providing a description of what participants say. Rather, interpretative phenomenological analysis is about getting underneath what a person is saying to try to truly understand the world from his or her perspective.

Once all of the research interviews have been transcribed and checked, it is time to begin coding. Field notes compiled during an interview can be a useful complementary source of information to facilitate this process, as the gap in time between an interview, transcribing, and coding can result in memory bias regarding nonverbal or environmental context issues that may affect interpretation of data.

Coding refers to the identification of topics, issues, similarities, and differences that are revealed through the participants’ narratives and interpreted by the researcher. This process enables the researcher to begin to understand the world from each participant’s perspective. Coding can be done by hand on a hard copy of the transcript, by making notes in the margin or by highlighting and naming sections of text. More commonly, researchers use qualitative research software (e.g., NVivo, QSR International Pty Ltd; www.qsrinternational.com/products_nvivo.aspx ) to help manage their transcriptions. It is advised that researchers undertake a formal course in the use of such software or seek supervision from a researcher experienced in these tools.

Returning to Appendix 1 and reading from lines 8–11, a code for this section might be “diagnosis of mental health condition”, but this would just be a description of what the participant is talking about at that point. If we read a little more deeply, we can ask ourselves how the participant might have come to feel that the doctor assumed he or she was aware of the diagnosis or indeed that they had only just been told the diagnosis. There are a number of pauses in the narrative that might suggest the participant is finding it difficult to recall that experience. Later in the text, the participant says “nobody asked me any questions about my life” (line 19). This could be coded simply as “health care professionals’ consultation skills”, but that would not reflect how the participant must have felt never to be asked anything about his or her personal life, about the participant as a human being. At the end of this excerpt, the participant just trails off, recalling that no-one showed any interest, which makes for very moving reading. For practitioners in pharmacy, it might also be pertinent to explore the participant’s experience of akathisia and why this was left untreated for 20 years.

One of the questions that arises about qualitative research relates to the reliability of the interpretation and representation of the participants’ narratives. There are no statistical tests that can be used to check reliability and validity as there are in quantitative research. However, work by Lincoln and Guba 11 suggests that there are other ways to “establish confidence in the ‘truth’ of the findings” (p. 218). They call this confidence “trustworthiness” and suggest that there are 4 criteria of trustworthiness: credibility (confidence in the “truth” of the findings), transferability (showing that the findings have applicability in other contexts), dependability (showing that the findings are consistent and could be repeated), and confirmability (the extent to which the findings of a study are shaped by the respondents and not researcher bias, motivation, or interest).

One way of establishing the “credibility” of the coding is to ask another researcher to code the same transcript and then to discuss any similarities and differences in the 2 resulting sets of codes. This simple act can result in revisions to the codes and can help to clarify and confirm the research findings.

Theming refers to the drawing together of codes from one or more transcripts to present the findings of qualitative research in a coherent and meaningful way. For example, there may be examples across participants’ narratives of the way in which they were treated in hospital, such as “not being listened to” or “lack of interest in personal experiences” (see Appendix 1 ). These may be drawn together as a theme running through the narratives that could be named “the patient’s experience of hospital care”. The importance of going through this process is that at its conclusion, it will be possible to present the data from the interviews using quotations from the individual transcripts to illustrate the source of the researchers’ interpretations. Thus, when the findings are organized for presentation, each theme can become the heading of a section in the report or presentation. Underneath each theme will be the codes, examples from the transcripts, and the researcher’s own interpretation of what the themes mean. Implications for real life (e.g., the treatment of people with chronic mental health problems) should also be given.

DATA SYNTHESIS

In this final section of this paper, we describe some ways of drawing together or “synthesizing” research findings to represent, as faithfully as possible, the meaning that participants ascribe to their life experiences. This synthesis is the aim of the final stage of qualitative research. For most readers, the synthesis of data presented by the researcher is of crucial significance—this is usually where “the story” of the participants can be distilled, summarized, and told in a manner that is both respectful to those participants and meaningful to readers. There are a number of ways in which researchers can synthesize and present their findings, but any conclusions drawn by the researchers must be supported by direct quotations from the participants. In this way, it is made clear to the reader that the themes under discussion have emerged from the participants’ interviews and not the mind of the researcher. The work of Latif and others 12 gives an example of how qualitative research findings might be presented.

Planning and Writing the Report

As has been suggested above, if researchers code and theme their material appropriately, they will naturally find the headings for sections of their report. Qualitative researchers tend to report “findings” rather than “results”, as the latter term typically implies that the data have come from a quantitative source. The final presentation of the research will usually be in the form of a report or a paper and so should follow accepted academic guidelines. In particular, the article should begin with an introduction, including a literature review and rationale for the research. There should be a section on the chosen methodology and a brief discussion about why qualitative methodology was most appropriate for the study question and why one particular methodology (e.g., interpretative phenomenological analysis rather than grounded theory) was selected to guide the research. The method itself should then be described, including ethics approval, choice of participants, mode of recruitment, and method of data collection (e.g., semistructured interviews or focus groups), followed by the research findings, which will be the main body of the report or paper. The findings should be written as if a story is being told; as such, it is not necessary to have a lengthy discussion section at the end. This is because much of the discussion will take place around the participants’ quotes, such that all that is needed to close the report or paper is a summary, limitations of the research, and the implications that the research has for practice. As stated earlier, it is not the intention of qualitative research to allow the findings to be generalized, and therefore this is not, in itself, a limitation.

Planning out the way that findings are to be presented is helpful. It is useful to insert the headings of the sections (the themes) and then make a note of the codes that exemplify the thoughts and feelings of your participants. It is generally advisable to put in the quotations that you want to use for each theme, using each quotation only once. After all this is done, the telling of the story can begin as you give your voice to the experiences of the participants, writing around their quotations. Do not be afraid to draw assumptions from the participants’ narratives, as this is necessary to give an in-depth account of the phenomena in question. Discuss these assumptions, drawing on your participants’ words to support you as you move from one code to another and from one theme to the next. Finally, as appropriate, it is possible to include examples from literature or policy documents that add support for your findings. As an exercise, you may wish to code and theme the sample excerpt in Appendix 1 and tell the participant’s story in your own way. Further reading about “doing” qualitative research can be found at the end of this paper.

CONCLUSIONS

Qualitative research can help researchers to access the thoughts and feelings of research participants, which can enable development of an understanding of the meaning that people ascribe to their experiences. It can be used in pharmacy practice research to explore how patients feel about their health and their treatment. Qualitative research has been used by pharmacists to explore a variety of questions and problems (see the “Further Reading” section for examples). An understanding of these issues can help pharmacists and other health care professionals to tailor health care to match the individual needs of patients and to develop a concordant relationship. Doing qualitative research is not easy and may require a complete rethink of how research is conducted, particularly for researchers who are more familiar with quantitative approaches. There are many ways of conducting qualitative research, and this paper has covered some of the practical issues regarding data collection, analysis, and management. Further reading around the subject will be essential to truly understand this method of accessing peoples’ thoughts and feelings to enable researchers to tell participants’ stories.

Appendix 1. Excerpt from a sample transcript

The participant (age late 50s) had suffered from a chronic mental health illness for 30 years. The participant had become a “revolving door patient,” someone who is frequently in and out of hospital. As the participant talked about past experiences, the researcher asked:

• What was treatment like 30 years ago?
• Umm—well it was pretty much they could do what they wanted with you because I was put into the er, the er kind of system er, I was just on
• endless section threes.
• Really…
• But what I didn’t realize until later was that if you haven’t actually posed a threat to someone or yourself they can’t really do that but I didn’t know
• that. So wh-when I first went into hospital they put me on the forensic ward ’cause they said, “We don’t think you’ll stay here we think you’ll just
• run-run away.” So they put me then onto the acute admissions ward and – er – I can remember one of the first things I recall when I got onto that
• ward was sitting down with a er a Dr XXX. He had a book this thick [gestures] and on each page it was like three questions and he went through
• all these questions and I answered all these questions. So we’re there for I don’t maybe two hours doing all that and he asked me he said “well
• when did somebody tell you then that you have schizophrenia” I said “well nobody’s told me that” so he seemed very surprised but nobody had
• actually [pause] whe-when I first went up there under police escort erm the senior kind of consultants people I’d been to where I was staying and
• ermm so er [pause] I . . . the, I can remember the very first night that I was there and given this injection in this muscle here [gestures] and just
• having dreadful side effects the next day I woke up [pause]
• . . . and I suffered that akathesia I swear to you, every minute of every day for about 20 years.
• Oh how awful.
• And that side of it just makes life impossible so the care on the wards [pause] umm I don’t know it’s kind of, it’s kind of hard to put into words
• [pause]. Because I’m not saying they were sort of like not friendly or interested but then nobody ever seemed to want to talk about your life [pause]
• nobody asked me any questions about my life. The only questions that came into was they asked me if I’d be a volunteer for these student exams
• and things and I said “yeah” so all the questions were like “oh what jobs have you done,” er about your relationships and things and er but
• nobody actually sat down and had a talk and showed some interest in you as a person you were just there basically [pause] um labelled and you
• know there was there was [pause] but umm [pause] yeah . . .

This article is the 10th in the CJHP Research Primer Series, an initiative of the CJHP Editorial Board and the CSHP Research Committee. The planned 2-year series is intended to appeal to relatively inexperienced researchers, with the goal of building research capacity among practising pharmacists. The articles, presenting simple but rigorous guidance to encourage and support novice researchers, are being solicited from authors with appropriate expertise.

Previous articles in this series:

Bond CM. The research jigsaw: how to get started. Can J Hosp Pharm . 2014;67(1):28–30.

Tully MP. Research: articulating questions, generating hypotheses, and choosing study designs. Can J Hosp Pharm . 2014;67(1):31–4.

Loewen P. Ethical issues in pharmacy practice research: an introductory guide. Can J Hosp Pharm. 2014;67(2):133–7.

Tsuyuki RT. Designing pharmacy practice research trials. Can J Hosp Pharm . 2014;67(3):226–9.

Bresee LC. An introduction to developing surveys for pharmacy practice research. Can J Hosp Pharm . 2014;67(4):286–91.

Gamble JM. An introduction to the fundamentals of cohort and case–control studies. Can J Hosp Pharm . 2014;67(5):366–72.

Austin Z, Sutton J. Qualitative research: getting started. C an J Hosp Pharm . 2014;67(6):436–40.

Houle S. An introduction to the fundamentals of randomized controlled trials in pharmacy research. Can J Hosp Pharm . 2014; 68(1):28–32.

Charrois TL. Systematic reviews: What do you need to know to get started? Can J Hosp Pharm . 2014;68(2):144–8.

Competing interests: None declared.

Further Reading

Examples of qualitative research in pharmacy practice.

• Farrell B, Pottie K, Woodend K, Yao V, Dolovich L, Kennie N, et al. Shifts in expectations: evaluating physicians’ perceptions as pharmacists integrated into family practice. J Interprof Care. 2010; 24 (1):80–9. [ PubMed ] [ Google Scholar ]
• Gregory P, Austin Z. Postgraduation employment experiences of new pharmacists in Ontario in 2012–2013. Can Pharm J. 2014; 147 (5):290–9. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Marks PZ, Jennnings B, Farrell B, Kennie-Kaulbach N, Jorgenson D, Pearson-Sharpe J, et al. “I gained a skill and a change in attitude”: a case study describing how an online continuing professional education course for pharmacists supported achievement of its transfer to practice outcomes. Can J Univ Contin Educ. 2014; 40 (2):1–18. [ Google Scholar ]
• Nair KM, Dolovich L, Brazil K, Raina P. It’s all about relationships: a qualitative study of health researchers’ perspectives on interdisciplinary research. BMC Health Serv Res. 2008; 8 :110. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Pojskic N, MacKeigan L, Boon H, Austin Z. Initial perceptions of key stakeholders in Ontario regarding independent prescriptive authority for pharmacists. Res Soc Adm Pharm. 2014; 10 (2):341–54. [ PubMed ] [ Google Scholar ]

Qualitative Research in General

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Group Dynamics in Focus Groups

• Farnsworth J, Boon B. Analysing group dynamics within the focus group. Qual Res. 2010; 10 (5):605–24. [ Google Scholar ]

Social Constructivism

• Social constructivism. Berkeley (CA): University of California, Berkeley, Berkeley Graduate Division, Graduate Student Instruction Teaching & Resource Center; [cited 2015 June 4]. Available from: http://gsi.berkeley.edu/gsi-guide-contents/learning-theory-research/social-constructivism/ [ Google Scholar ]

Mixed Methods

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Collecting Qualitative Data

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Constructivist Grounded Theory

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