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Data Analysis Software in Qualitative Research: Preconceptions, Expectations, and Adoption.
1Brigitte S. Cypress, EdD, RN, CCRN, is an associate professor of Nursing at East Stroudsburg University of Pennsylvania.
Dimensions of Critical Care Nursing : DCCN
|May 31, 2019
Summary
Computer-assisted qualitative data analysis software (CAQDAS) adoption presents challenges. This article examines methodological issues and unrealistic expectations to guide researchers in using CAQDAS effectively.
Area of Science:
- Qualitative Research Methods
- Information Technology in Social Sciences
Background:
- Increasing adoption of computer software for qualitative data analysis.
- Persistent concerns and misunderstandings regarding the merits and use of such software among developers and researchers.
- Unrealistic expectations of software as a methodology in itself.
Purpose of the Study:
- Examine the role of computer-assisted qualitative data analysis software (CAQDAS).
- Focus on methodological issues and factors leading to unrealistic expectations.
- Guide qualitative critical care researchers (expert and novice) on CAQDAS adoption decisions.
Main Methods:
- Critical examination of methodological issues in CAQDAS use.
- Review of two common CAQDAS packages.
- Inclusion of guidance on supervision and mentorship in qualitative inquiry.
Main Results:
- Identification of factors contributing to unrealistic expectations of CAQDAS.
- Discussion of the implications of CAQDAS adoption for qualitative research.
- Analysis of the role of CAQDAS in qualitative data analysis.
Conclusions:
- CAQDAS presents methodological challenges and potential for unrealistic expectations.
- Informed decision-making regarding CAQDAS use is crucial for qualitative researchers.
- Effective integration of CAQDAS requires careful consideration of its role and limitations.
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