A User-Friendly Introduction to RQDA for Qualitative Research: Recommendations for Social Work Students and Educators.

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 statisti...

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Publicado en:Journal of Social Work Education Vol. 59; no. 3; pp. 831 - 848
Autores principales: Nason, Erica E., Wang, Kaipeng, Ausbrooks, Angela R.
Formato: Artículo
Publicado: Taylor & Francis Ltd Summer2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A User-Friendly Introduction to RQDA for Qualitative Research: Recommendations for Social Work Students and Educators.
      aug:
        au:
          Nason, Erica E.
          Wang, Kaipeng
          Ausbrooks, Angela R.
      su:
        Theory-practice relationship
        Qualitative research
        Phenomenology
        Ethnology research
        Social work research
        Social work education
        Content analysis
        Social services
        Professional practice
        Grounded theory
        Conceptual structures
        Data analysis software
        Thematic analysis
      sug:
        subj:
          Theory-practice relationship
          Qualitative research
          Phenomenology
          Ethnology research
          Social work research
          Social work education
          Content analysis
          Social services
          Other Individual and Family Services
          Professional practice
          Grounded theory
          Conceptual structures
          Data analysis software
          Thematic analysis
      ab: 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
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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