scholarly journals Qualitative Data Sharing: Participant Understanding, Motivation, and Consent

2021 ◽  
pp. 104973232110540
Author(s):  
Alicia VandeVusse ◽  
Jennifer Mueller ◽  
Sebastian Karcher
Keyword(s):  
Qualitative Research ◽  
Informed Consent ◽  
Qualitative Study ◽  
Data Sharing ◽  
Qualitative Data ◽  
Primary Motivation ◽  
Research Participants ◽  
Helping Others ◽  
Share Data ◽  
Participant Understanding

Expectations to share data underlying studies are increasing, but research on how participants, particularly those in qualitative research, respond to requests for data sharing is limited. We studied research participants’ willingness to, understanding of, and motivations for data sharing. As part of a larger qualitative study on abortion reporting, we conducted interviews with 64 cisgender women in two states in early 2020 and asked for consent to share de-identified data. At the end of interviews, we asked participants to reflect on their motivations for agreeing or declining to share their data. The vast majority of respondents consented to data sharing and reported that helping others was a primary motivation for agreeing to share their data. However, a substantial number of participants showed a limited understanding of the concept of “data sharing.” Additional research is needed on how to improve participants’ understanding of data sharing and thus ensure fully informed consent.

scholarly journals Qualitative Data Sharing: Participant Understanding, Motivation, and Consent

2021 ◽  
Author(s):  
Alicia VandeVusse ◽  
Jennifer Mueller ◽  
Sebastian Karcher
Keyword(s):  
Qualitative Research ◽  
Informed Consent ◽  
Qualitative Study ◽  
Data Sharing ◽  
Qualitative Data ◽  
Primary Motivation ◽  
Research Participants ◽  
Helping Others ◽  
Share Data ◽  
Participant Understanding

Expectations to share data underlying studies are increasing, but research on how participants, particularly those in qualitative research, respond to requests for data sharing is limited. We studied research participants’ willingness to, understanding of, and motivations for data sharing. As part of a larger qualitative study on abortion reporting, we conducted interviews with 64 cisgender women in two states in early 2020 and asked for consent to share de-identified data. At the end of interviews, we asked participants to reflect on their motivations for agreeing or declining to share their data. The vast majority of respondents consented to data sharing and reported that helping others was a primary motivation for agreeing to share their data. However, a substantial number of participants showed a limited understanding of the concept of “data sharing.” Additional research is needed on how to improve participants’ understanding of data sharing and thus ensure fully informed consent.

Embracing tension: using Bakhtinian theory as a means for data analysis

2016 ◽  
Vol 17 (1) ◽  
pp. 20-36 ◽  
Author(s):  
Xiaoli Hong ◽  
Michelle M Falter ◽  
Bob Fecho
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Multiple Perspectives ◽  
Qualitative Data Analysis ◽  
Research Participants ◽  
Analysis Process ◽  
Bakhtinian Theory ◽  
Ongoing Dialogue

In this article we introduce tension as a means for qualitative data analysis based on Mikhail Bakhtin’s dialogical theory. We first explain the foundations of Bakhtin’s theory and show the inevitability of tension in our lives and qualitative data analysis. We then offer a review of how Bakhtin’s notion of tension has manifested itself in qualitative research, which prompts us to establish a tensional approach to qualitative data analysis. Finally, we outline our framework for a tensional approach to data analysis and illustrate examples of putting this approach into practice in our own study. Our tensional approach (1) explores key moments of tension; (2) seeks out unease and discomfort; (3) involves researcher and research participants in ongoing dialogue; (4) and embraces multiple perspectives on a range of tensions during the data analysis process. It encourages uncertainties and questions instead of pursuing certainty of meaning and fixed conclusions.

The Limits of Shared Panethnic Status: Considering Culture, Age, and Language in Qualitative Research

2021 ◽  
pp. 016059762110329
Author(s):  
Trisha J. Tiamzon ◽  
Miho Iwata ◽  
Shweta Majumdar Adur
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Qualitative Study ◽  
Cultural Competence ◽  
Asian Americans ◽  
Cultural Norms ◽  
Culture Age ◽  
Research Participants ◽  
Data Collection And Analysis ◽  
Different Levels

The increase of qualitative research in gerontology invites discussion of the effects of researcher positionality on data collection and analysis. Analyses of the interviewing experiences of three researchers who conducted a qualitative study of aging Asian Americans illustrate the complexities of negotiating “insider” status. Despite the interviewers’ shared panethnic status (Asian) with the participants, they experienced different levels of insider status, which were based, in part, on cultural competence related to cultural norms and practices, age hierarchies, and language. This suggests that qualitative researchers should engage in reflexive practices that consider researcher positionality in relation to research participants. Researchers need to pay attention to the possible implications of cultural competence on negotiating insider status and when gathering and analyzing data, similar to considerations of culturally relevant approaches in practical settings.

Thinking About Data With Grounded Theory

2018 ◽  
Vol 25 (8) ◽  
pp. 743-753 ◽  
Author(s):  
Kathy Charmaz ◽  
Linda Liska Belgrave
Keyword(s):  
Qualitative Research ◽  
Grounded Theory ◽  
Qualitative Data ◽  
Research Process ◽  
Individual Responsibility ◽  
Research Participants ◽  
Self Sufficiency ◽  
Access To Data ◽  
Deductive Research

This article examines qualitative data in an era of neoliberalism and focuses on the place of data in grounded theory studies. Neoliberal values of individual responsibility, self-sufficiency, competition, efficiency, and profit have entered the conduct of research. Neoliberalism fosters (a) reifying quantitative logical-deductive research, (b) imposing surveillance of types and sources of data, (c) marginalizing inductive qualitative research, and (d) limiting access to data in grounded theory studies. Grounded theory relies on data and resists current efforts to abandon data. The method resides in the space between reifying and rejecting data. Data allow us to learn from the stories of those left out and permits research participants to break silences. Data can help us look underneath and beyond our privileges, and alter our views. Grounded theory is predicated on data, but how researchers regard and render data depends on which version of the method they adopt. We propose developing a strong methodological self-consciousness to learn how we affect the research process and to counter the subtle effects of neoliberalism.

Messages From Former Students and Families: Analysis of Statements From One State’s Post-School Outcomes Survey

2018 ◽  
Vol 42 (4) ◽  
pp. 225-234
Author(s):  
Charlotte Y. Alverson ◽  
Scott H. Yamamoto
Keyword(s):  
High School ◽  
Qualitative Research ◽  
Qualitative Study ◽  
Students With Disabilities ◽  
Qualitative Data ◽  
School Outcomes ◽  
Consensual Qualitative Research ◽  
Out Of School ◽  
Descriptive Qualitative

We conducted an exploratory descriptive qualitative study on extant data of responses to the state’s open-ended question from their annual post-school outcomes survey: “ If you could tell your school one thing, what would you tell them (make a suggestion to help better prepare current students for life after high school)?” Respondents from one northwest state consisted of former students with disabilities who had been out of school for 1 year or their designee. We analyzed 1,493 statements using consensual qualitative research–modified (CQR-M) method: a modification of CQR in which large quantities of simple qualitative data are analyzed inductively. Findings clustered in four domains: advice, help, satisfaction, and awareness. Implications for stakeholders and recommendations for further research are provided.

scholarly journals Using Reflexive Interviewing to Foster Deep Understanding of Research Participants’ Perspectives

2019 ◽  
Vol 18 ◽  
pp. 160940691882502 ◽  
Author(s):  
Alex Sandro Gomes Pessoa ◽  
Erin Harper ◽  
Isabela Samogim Santos ◽  
Marina Carvalho da Silva Gracino
Keyword(s):  
Data Analysis ◽  
Qualitative Study ◽  
Case Studies ◽  
Qualitative Data ◽  
Deep Understanding ◽  
Qualitative Approach ◽  
Qualitative Data Analysis ◽  
Research Participants ◽  
Research Questions

It is usual that researchers, in the process of transcribing interviews or even during data analysis, realize that important issues were superficially mentioned by the interviewees, but for several possible reasons, these topics were not explored by the researcher in-depth or properly. It is also common during the interview to not realize that certain content evoked by the participants are connected to the research questions that originated the study. Similarly, some content brought in by the interviewees may seem confusing, contradictory, or even insufficient to be subjected to protocols of qualitative data analysis. This article aims to present a technique that allows researchers to have a deeper and more accurate understanding of the subjective topics that may emerge through a qualitative approach: the reflexive interview. This technique consists of the engagement of the interviewer and interviewee in the process of elaboration and collective understanding of the interviewee’s perspectives and experiences. Rather than only reporting their experiences descriptively, interviewees, with the support of interviewers, have the opportunity to share the meanings of the reality surrounding them and the events of their own lives, without being interpreted arbitrarily only by the interviewer. This article intends to conceptualize the reflexive interview, pointing out its benefits and the procedures necessary to employ it in a qualitative study. Two case studies are presented to the reader to illustrate the reflexivity processes that can engage participants through this resource, as well as how reflexive interviewing promotes a deep understanding of participants’ perspectives. Finally, general recommendations are provided, including examples of questions that can compose a script of a reflexive interview. It is hoped that this article provides a new resource for researchers interested in more accurately embodying participants’ perspectives and experiences.

scholarly journals It’s More Complicated Than It Seems: Virtual Qualitative Research in the COVID-19 Era

2021 ◽  
Vol 20 ◽  
pp. 160940692110029
Author(s):  
J. Kessa Roberts ◽  
Alexandra E. Pavlakis ◽  
Meredith P. Richards
Keyword(s):  
Qualitative Research ◽  
Qualitative Study ◽  
Qualitative Data ◽  
Careful Analysis ◽  
Structured Interviews ◽  
Ethical Considerations ◽  
High Quality ◽  
Qualitative Data Collection ◽  
Made In

COVID-19 has necessitated innovation in many parts of our lives and qualitative research is no exception, as in-person qualitative data collection has been complicated by the constraints of social distancing and the prioritization of participants’ and researchers’ safety. Consequently, virtual methods have quickly gained traction. However, there is little research that comprehensively explores the range of practical, rigorous, and ethical considerations that arise when designing and engaging in virtual qualitative research. Addressing this gap, we examine the process of designing and conducting a virtual qualitative study, using specific examples from our case study of student homelessness in Houston, Texas that drew from semi-structured interviews and the analysis of over 50 documents. Garnering insights from Salmons’ Qualitative e-Research Framework (2016), and benefiting from 22 technical memos that documented our process, we profile the challenges we faced—and choices we made in response—as we designed and conducted our study. Our findings suggest that in practice, engaging in virtual qualitative research, particularly in the era of COVID-19, is a purposive exercise that requires thoughtful, careful analysis around a number of methodological challenges as well as ethical and equity-oriented questions. Our exploratory work has timely implications for qualitative scholars in the current COVID-19 context, but also showcases the potential to conduct high-quality, rigorous, ethical qualitative research in a virtual format, offering a glimmer of hope for more equitable qualitative research in contexts of crisis and beyond.

scholarly journals Rapid Techniques in Qualitative Research: A Critical Review of the Literature

2020 ◽  
Vol 30 (10) ◽  
pp. 1596-1604
Author(s):  
Cecilia Vindrola-Padros ◽  
Ginger A. Johnson
Keyword(s):  
Systematic Review ◽  
Qualitative Research ◽  
Data Collection ◽  
Qualitative Methods ◽  
Critical Review ◽  
Qualitative Data ◽  
Review Of The Literature ◽  
Research Participants ◽  
Data Collection And Analysis ◽  
Improve Accuracy

Qualitative researchers are under increasing time demands to rapidly collect, analyze, and disseminate the results of their findings. Adaptations to qualitative methods may be required to enable the use of timely and relevant qualitative data across multiple disciplinary settings. The aim of this review is to briefly explore the ways in which data collection and analysis methods have been adapted in qualitative research to deal with short study timeframes. We carried out a two-phased systematic review of the literature and determined there were six primary reasons why rapid techniques were used: (a) reduce time, (b) reduce cost, (c) increase the amount of collected data, (d) improve efficiency, (e) improve accuracy, and (f) obtain a closer approximation to the narrated realities of research participants. In addition, we analyzed the characteristics of the articles, how traditional methods were adapted and evaluated, the benefits and limitations of using rapid techniques, and future recommendations.

scholarly journals Three More Reasons for Qualitative Psychologists to Share Human Data

2021 ◽  
Author(s):  
Veli-Matti Karhulahti
Keyword(s):  
Informed Consent ◽  
Data Sharing ◽  
Quantitative Data ◽  
Qualitative Data ◽  
Data Types ◽  
Shared Data ◽  
Human Data ◽  
Alternative Perspective ◽  
Special Means ◽  
Privacy Risks

Qualitative data sharing practices in psychology have not developed as rapidly as those in parallel quantitative domains. This is often explained by numerous epistemological, ethical, and pragmatic issues concerning qualitative data types. In this essay, I provide an alternative to the frequently expressed (often reasonable) concerns regarding the sharing of qualitative human data by highlighting three advantages of qualitative data sharing. I argue that sharing qualitative human data is not by default “less ethical,” “riskier,” and “impractical” compared to quantitative data sharing, but in some cases more ethical, less risky, and easier to manage for sharing because 1) informed consent can be discussed, negotiated, and validated, 2) the shared data can be curated by special means, and 3) the privacy risks are mainly local instead of global. I hope the provided alternative perspective further encourages qualitative psychologists to share their data when it is epistemologically, ethically, and pragmatically possible.

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