3- to 5-page describing considerations for choosing to use QDA software. Include the following:
Summarize your experience with coding using Excel or Word. Identify what worked well, where you struggled, and how the process of coding evolved.
Summarize your research on your two choices by comparing and contrasting features. Describe why you chose these two versus the others and, given your experience in this course, what you are considering for your capstone.
2
QDA Software
Jailya Wooden
Walden University
RSCH 8360
February 1, 2023
QDA Software
Qualitative Data Analysis (QDA) software is a computer program made to help academics analyze qualitative information, including text, audio, and video. To assist with tasks like classifying and categorizing data, producing annotated summaries, and identifying relationships within the data (Schmieder 2020). The objective of QDA software is to improve the efficiency of the qualitative data analysis process while freeing up researchers to concentrate on interpreting the data. Examples of this software include: quirkos enables users to sort, manage and understand text data. ATLAS.ti, NexLP, NVivo, MAXQDA, and QDA Miner Lite are free and easy-to-use software that can be used to analyze textual data, including open-ended responses, interviews, and news transcripts.
NVivo is a proprietary purchased program that provides tools for analysis, coding, data exploration, and visualization, which allow researchers to break down complex research questions into manageable chunks. It also offers a range of features such as integration with Microsoft Office programs, the ability to capture large amounts of data at once using text analytics technology, real-time collaboration between team members on projects hosted online or within networked computers, sample templates for surveys and forms simplifying the process of collecting extra information from surveyed individuals (Dhakal 2022). The FAQs section gives detailed answers about installation requirements, usage tutorials, features, and support (NVivo, n.d.). Demos available explain how they can be effectively utilized while customer feedback helps its user bridge gaps in existing knowledge around product use cases by learning more advanced techniques used based on one’s personal experience when working with this suite. The limitations of NVivo include limited Mac functionality, the learning curve, and its expensive.
ATLAS.ti is a proprietary purchased application for QDA analysis for individuals who appreciate detail and focus on the big picture. The software provides users with unique features allowing for creation and modification of smart codes and revealing relationships and meanings. Its features include Unicode thought and undo/redo 100 steps (ATLAS.ti, n.d.). The computer-assisted qualitative data analysis program ATLAS.ti makes it easier to analyze qualitative data for mixed-methods, qualitative, and quantitative studies. Provides a detailed FAQ page full of helpful information about the product’s features and how it can be used successfully by researchers (ATLAS.ti, n.d.). Customers can also access instructional videos or webinars from ATLAS.ti’s online documentation. The program offers live chats for customers with immediate questions or concerns. Some features available in both include advanced analytics such as thematic analysis, visualization tools for effective presentation of data insights, and coding abilities that allow users to code quantitative or qualitative data by multiple criteria. ATLAS.ti is designed explicitly for qualitative research (Soratto et al. 2020).
References
ATLAS.ti. (n.d.).
Turn your data into qualitative insights, faster and easier.
https://atlasti.com/
Dhakal, K. (2022). NVivo.
Journal of the Medical Library Association,
110(2), 270-272.
https://doi.org/10.5195/jmla.2022.1271
NVivo. (n.d.).
Unlock insights with qualitative data analysis software. https://lumivero.com/products/nvivo/
Schmieder, C. (2020). Qualitative data analysis software as a tool for teaching analytic practice: Towards a theoretical framework for integrating QDAS into methods pedagogy.
Qualitative Research,
20(5), 684-702. https://doi.org/10.1177/1468794119891846
Soratto, J., Pires, D. E. P. D., & Friese, S. (2020). Thematic content analysis using ATLAS.ti software: Potentialities for research in health.
Revista brasileira de enfermagem,
73.
https://doi.org/10.1590/0034-7167-2019-0250
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