2022
DOI: 10.1177/15344843221138381
|View full text |Cite
|
Sign up to set email alerts
|

Using Qualitative Data Analysis Software to Support Digital Research Workflows

Abstract: While software packages such as NVivo are typically considered useful for qualitative data analysis, in actuality they are powerful and flexible enough to serve as the central component of a robust digital research workflow. Various features of these packages can be used across the entire research process from reviewing the literature to writing up the study’s findings. This article provides an overview of available qualitative data analysis software (QDAS) packages, including how to: use software tactics to e… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
11
0

Year Published

2022
2022
2025
2025

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 19 publications
(11 citation statements)
references
References 14 publications
0
11
0
Order By: Relevance
“…We utilized a step‐by‐step thematic analysis process to analyse both interview transcripts and documentary data following the guidelines recommended by Braun and Clarke (2006) for generating codes and themes, understanding their relationships and illustrating the study findings. Accordingly, all the interviews were transcribed using the software Otter.ai, which provides speech‐to‐text transcriptions (Lobe et al, 2020; Paulus, 2023). After transcribing the interviews, the resulting data were reviewed several times to comprehend the meanings, concepts and emerging patterns examining the internal and external motivators of a GLSS strategy (Braun & Clarke, 2006; King, 2004).…”
Section: Methodsmentioning
confidence: 99%
“…We utilized a step‐by‐step thematic analysis process to analyse both interview transcripts and documentary data following the guidelines recommended by Braun and Clarke (2006) for generating codes and themes, understanding their relationships and illustrating the study findings. Accordingly, all the interviews were transcribed using the software Otter.ai, which provides speech‐to‐text transcriptions (Lobe et al, 2020; Paulus, 2023). After transcribing the interviews, the resulting data were reviewed several times to comprehend the meanings, concepts and emerging patterns examining the internal and external motivators of a GLSS strategy (Braun & Clarke, 2006; King, 2004).…”
Section: Methodsmentioning
confidence: 99%
“…The data collected from the senior corporate managers and experts were treated collectively (Johnstone, 2020). For data analysis, the interview data were first transcribed using the software Otter.ai, which provides speech‐to‐text transcriptions (Paulus, 2023). Transcriptions were reviewed several times to understand the meanings, ideas, and patterns emanating from the data which facilitated identification and building understanding of sustainability tensions and resolution strategies (Braun & Clarke, 2006; King, 2004).…”
Section: Methodsmentioning
confidence: 99%
“…In comparison to manual approaches, CAQDAS offers “quick drag-and-drop coding, retrieval of coded segments, data organization, rapid searches of text, creation of an audit trail, and extensive team facilitation capabilities” (O’Kane et al, 2021, p. 105). These tools can enable researchers to explore literature using novel approaches to organizing, analyzing, and synthesizing, as well as supporting digital workflows across entire research projects (Paulus, 2022). Many programs are available with the most common being NVivo, Atlas.ti, QDAMiner and MaxQDA (for a review of these see O’Kane, 2020; Paulus 2022 and the CAQDAS networking project at Surrey University, https://www.surrey.ac.uk/computer-assisted-qualitative-data-analysis).…”
Section: Introductionmentioning
confidence: 99%
“…These tools can enable researchers to explore literature using novel approaches to organizing, analyzing, and synthesizing, as well as supporting digital workflows across entire research projects (Paulus, 2022). Many programs are available with the most common being NVivo, Atlas.ti, QDAMiner and MaxQDA (for a review of these see O’Kane, 2020; Paulus 2022 and the CAQDAS networking project at Surrey University, https://www.surrey.ac.uk/computer-assisted-qualitative-data-analysis).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation