Computer-Aided Qualitative Analysis of Interview Data: Some Recommendations for Collaborative Working

Ford, Kate; Oberski, Iddo; Higgins, Steve

doi:10.46743/2160-3715/2000.2075

Cited by 11 publications

(11 citation statements)

References 11 publications

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“…If team members who have initiated such activities have left, faculty members have taken the lead with their participants. Our strategies fit with the acknowledgement that reading and coding transcripts on-screen is difficult and on-screen work needs to be supplemented by analysis of hard copies of transcripts (Ford, Oberski, & Higgins, 2000).…”

Section: Analytic and Methodsological Issuesmentioning

confidence: 99%

Qualitative Teamwork Issues and Strategies: Coordination Through Mutual Adjustment

Hall

Long

Bermbach³

et al. 2005

Qual Health Res

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Multidisciplinary research teams that include faculty, students, and volunteers can be challenging and enriching for all participants. Although such teams are becoming commonplace, minimal guidance is available about strategies to enhance team effectiveness. In this article, the authors highlight strategies to guide qualitative teamwork through coordination of team members and tasks based on mutual adjustment. Using a grounded theory exemplar, they focus on issues of (a) building the team, (b) developing reflexivity and theoretical sensitivity, (c) tackling analytic and methodological procedures, and (d) developing dissemination guidelines. Sharing information, articulating project goals and elements, acknowledging variation in individual goals, and engaging in reciprocity and respectful collaboration are key elements of mutual adjustment. The authors summarize conclusions about the costs and benefits of the process.

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Section: Analytic and Methodsological Issuesmentioning

confidence: 99%

Qualitative Teamwork Issues and Strategies: Coordination Through Mutual Adjustment

Hall

Long

Bermbach³

et al. 2005

Qual Health Res

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show abstract

“…The discussions allowed such contextual, subjective experiences to emerge and allowed the team to come to a consensus on how to deal with them in terms of coding. As Ford et al (2000) argued, 'increased inter-rater reliability could be produced by the interpersonal dynamics and is certainly to be expected as a common vocabulary develops'.…”

Section: A 'Hands-on' Approach and Discussionmentioning

confidence: 99%

“…Inter-coder reliability is an issue to be contended with when there is more than one person doing coding (Bourdon, 2001;Ford et al, 2000). While it is impossible to ensure perfect inter-coder reliability, there is nonetheless a need to ensure that the variance in interpretation is minimized as far as possible.…”

Section: Situating Coding Within the Context Of Teamworkmentioning

confidence: 99%

Using Software to Open up the ‘Black Box’ of Qualitative Data Analysis in Evaluations

Sin¹

2007

Evaluation

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The lack of transparency in the process of qualitative data analysis has led to the suspicion that findings may not be robust enough to be used as evidence. Much qualitative data analysis software (QDAS) contains functions that facilitate the demonstration of reliability and validity, although the process is not straightforward. Given the scale and complexity of many evaluations, QDAS is a powerful tool that can be used to manage and analyse vast amounts of qualitative data. Its use in an evaluative context, however, can be fundamentally different from using it for other forms of qualitative analysis. This article explores the use of NUD*IST version 6 (N6), a widely used QDAS, to manage data from the qualitative aspects of a large-scale multi-component evaluation involving a large, multi-site team. It demonstrates that research and logistical imperatives can have concrete impact on the way technology is harnessed to produce qualitative findings, hence inevitably influencing resultant evidence.

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“…While there were benefits to using technology, it was also time-consuming with a significant learning curve attached for all team members. Ford, Oberski and Higgins 44 identified similar issues with their use of a computer data analysis tool NUD*IST and, in addition, noted how working patterns were altered among team members with the technology. Having a project manager to pilot test and troubleshoot technological issues was extremely valuable to this study.…”

Section: Gained Empathy With Colleagues Who Live and Work In Rural mentioning

confidence: 95%

“…Nevertheless, there were occasions where the time commitment needed to work with the technology exacerbated the tension created by the external responsibilities and constraints of team members. This is important to consider in collaborative projects as the newness factor cannot be underestimated 44 . Individual researchers have different comfort levels with technology.…”

Section: Gained Empathy With Colleagues Who Live and Work In Rural mentioning

confidence: 99%

From sea to shining sea: making collaborative rural research work

Moffitt

Mordoch²,

Wells³

et al. 2009

RRH

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Rural researchers collaborate on many levels to collect and analyze data, develop research reports and disseminate findings. While this collaboration is critical, there is a dearth of literature about research team collaboration within all stages of the research process. The purpose of this article is to discuss the research experience of 10 rural researchers scattered across Canada who participated in the study, Health Research: Accessible, Applicable and Useable for Rural Communities and Practitioners. Using focused ethnography, one aim of this study was to discover how research is utilized in rural and remote settings. The necessity of establishing networks to collect and manage data, and jointly analyze 72 qualitative transcripts from different geographical sites led to innovations and unexpected lessons learned. The research design provided significant opportunities to mentor undergraduate, masters and doctoral nursing students and to enhance the development of newly graduated doctoral nurses. These opportunities are crucial in the development of new researchers and in creating ongoing interest in rural health research. In this article, we discuss how the research process evolved, the mentoring process used, the barriers identified related to collaboration across vast distances,

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Computer-Aided Qualitative Analysis of Interview Data: Some Recommendations for Collaborative Working

Cited by 11 publications

References 11 publications

Qualitative Teamwork Issues and Strategies: Coordination Through Mutual Adjustment

Qualitative Teamwork Issues and Strategies: Coordination Through Mutual Adjustment

Using Software to Open up the ‘Black Box’ of Qualitative Data Analysis in Evaluations

From sea to shining sea: making collaborative rural research work

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