Attendants are welcome to ask questions during the session. A PowerPoint presentation and data analysis demonstration will be used in conjunction with interpretations and discussion. Methods and Approach We will conduct this hands-on workshop in an interactive manner with the attendants. Hands-on learning materials will be available at the workshop. Participants also will become familiar with basic skills of coding and interpreting text-formatted data using RQDA. At the end of the workshop, participants will have an introductory understanding of the RQDA working environment. Topics Overview of R and computerized coding for textual data Downloading and installing RQDA on a computer Creating and setting a data analysis project on RQDA Creating and importing text files Coding text with RQDA Adding attributes to text files Exporting and visualizing codesĬareer Level and Prerequisites Participants are expected to have a basic understanding of qualitative research procedures. We will demonstrate the use of the RQDA package and facilitate discussion about its advantages and disadvantages compared to other qualitative software packages. This workshop will provide attendants with an overview of the RQDA package with an emphasis on creating a qualitative data analysis project, managing text files, coding textual data, and exporting and summarizing codes. It is user-friendly and seamlessly integrates with R, which makes it possible to conduct statistical analyses on qualitative coding and complex data manipulation. RQDA is an R package for analysis for text-formatted data, which is compatible with Windows, Mac OSX, and Linux platforms. The purpose of this workshop is to introduce a free and publically available software package – R for Qualitative Data Analysis (RQDA). Nevertheless, as the number of themes increase, the limitations of manual coding becomes obvious. investigation of observable phenomena via statistical, mathematical. As a result, many researchers choose to manually code data with colors or other category identifiers. methods, and software tools Discuss applications of mixed methods research in. Qualitative software packages such as, NVivo, Atlast.ti, and HyperRESEARCH are expensive.
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