Computer assisted qualitative data analysis software

Computer Assisted/Aided Qualitative Data AnalysiS (CAQDAS) is the use of computer software to aid qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, grounded theory methodology, etc.

Contents

Definition

CAQDAS is used in psychology, marketing research, ethnography, and other social sciences. The CAQDAS Networking project[1] lists the following tools. A CAQDAS program should have:

Free / open source software for CAQDAS

Proprietary software for CAQDAS

Web-Based CAQDAS software

Pros and cons

Such software offers an efficient means through which to manage and organize data while supporting rigorous data analysis.[3] The advantages of using this software include being freed from manual and clerical tasks, saving precious time, managing huge amounts of qualitative data, having increased flexibility, and having improved validity and auditability of qualitative research. Concerns include increasingly deterministic and rigid processes, privileging of coding, and retrieval methods; reification of data, increased pressure on researchers to focus on volume and breadth rather than on depth and meaning, time and energy spent learning to use computer packages, increased commercialism, and distraction from the real work of analysis.[4]

See also

References

  1. ^ "CAQDAS". http://www.surrey.ac.uk/sociology/research/researchcentres/caqdas/. Retrieved 28 November 2011. 
  2. ^ Description of the QDA-feature of knowdoo
  3. ^ Banner, DJ; Albarrran, JW (2009). "Computer-assisted qualitative data analysis software: a review.". Canadian journal of cardiovascular nursing = Journal canadien en soins infirmiers cardio-vasculaires 19 (3): 24-31. PMID 19694114. 
  4. ^ St John, W; Johnson, P (2000). "The pros and cons of data analysis software for qualitative research.". Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing / Sigma Theta Tau 32 (4): 393-7. PMID 11140204. 

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