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ERIC Number: EJ1400456
Record Type: Journal
Publication Date: 2023
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1043-7797
EISSN: EISSN-2163-5811
A User-Friendly Introduction to RQDA for Qualitative Research: Recommendations for Social Work Students and Educators
Nason, Erica E.; Wang, Kaipeng; Ausbrooks, Angela R.
Journal of Social Work Education, v59 n3 p831-847 2023
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
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: Students; Teachers; Researchers
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A