A User-Friendly Introduction to RQDA for Qualitative Research
Recommendations for Social Work Students and Educators
Bibliographic Data
| ID | 21619273 |
|---|---|
| Authors | Erica E Nason (0000-0003-4084-2635, Numerical Method (China), corresponding author), Kaipeng Wang (0000-0002-2206-4318), Angela R Ausbrooks |
| Year | 2023 |
| Volume | 59 |
| Issue | 3 |
| Pages | 831-847 |
| Publication date | 2023-07-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Social Work Education (JOURNAL) |
| Journal identifiers | ISSN: 1043-7797 • E-ISSN: 2163-5811 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10437797.2022.2033657 |
| OpenAlex | W4212934676 |
| Language | EN |
| References cited | 8 |
This article introduces an open-source software package —R for Qualitative Data Analysis (RQDA). RQDA is an R package for analysis of text-formatted data, which is compatible across operating platforms. It is user-friendly and seamlessly integrates with R, which makes it possible to conduct statistical analyses on qualitative coding. Alternative qualitative software packages are often prohibitively expensive. Thus, many researchers choose to manually code data using colors or other category identifiers. Nevertheless, the limitations of manual coding become increasingly obvious as the number of themes or complexity of the coding system increases. Using data examples, we provided a step-by-step guide for qualitative data analyses demonstrate the basic functions of the RQDA package. Advantages and disadvantages of using RQDA are discussed
Data science · Identifier · Machine learning · Programming language · Qualitative property · Qualitative research · R package · Software engineering · User Friendly · World Wide Web · Computer Science · Data Analysis and Archiving · Qualitative Research Methods and Applications · Qualitative Research Methods and Ethics · Software
| Highly cited | No |
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