RQDA
 Main window in RQDA | |
| Developer(s) | Huang Ronggui |
|---|---|
| Final release | 0.3-1
/ Mar 2018 |
| Repository | |
| Operating system | Microsoft Windows, Linux, macOS |
| Type | Qualitative Data Analysis Qualitative Research |
| License | New BSD license |
| Website | rqda |
RQDA was an R package for computer assisted qualitative data analysis or CAQDAS. It was installable from, and runs within, the R statistical software, but has a separate window running a graphical user interface (through RGtk2). RQDA's approach allowed for tight integration of the constructivist approach of qualitative research with quantitative data analysis which can increase the rigor, transparency and validity of qualitative research.[1]
Features
[edit]In the graphical interface it had the following functions:
- Import documents from plain text
- Support non-English documents, Simplified Chinese Character is well-tested under Windows
- Support character-level coding
- Memos for documents, codes, coding, project, files etc.
- Retrieve coding, and easily gets back to the original file. Conditional retrieval is supported as well.
- Single-file (*.rqda) format, which is basically the SQLite database
- Categorize codes (tree-like categories are avoided)
- Categorize files
- Search files by keywords and can highlight keyword in the open file
- Show attributes of files, which is useful for content analysis
- Categorise cases and related attributes of cases (to bridge qualitative and quantitative research)
- Search information about selected cases from the web
- Rename files, codes, code categories, cases etc.
- Write and organize fieldwork journals
Through use of R functions, it could:
- Import a batch of files
- Calculate the relation between two codings, given the coding indexes
- Give a summary of coding and inter-code relationship.
- Export file/case attributes and show subset of files/cases.
- Allow for more flexible conditional retrieval.
- Boolean operations of and, or and not.
The project was abandoned because of orphaned upstream packages.[2]
See also
[edit]References
[edit]- ^ Chandra, Yanto; Shang, Liang (2017). "An RQDA-based constructivist methodology for qualitative research". Qualitative Market Research. 20: 90–112. doi:10.1108/QMR-02-2016-0014. S2CID 168241431.
- ^ "Ronggui/RQDA". GitHub.
External links
[edit]- Official website
- RQDA video tutorials
- Tutorial "Qualitative Data Analysis in R"
- Warner, L. (2012). Eval12 Session 682: R Qualitative Data Analysis (RQDA) Package: A Free Qualitative Analysis Tool (skill-building presentation)
- Scholarly research using RQDA
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