Qualitative Research Software: Analysis of Implementation Guide to Enhance Caregiving Proficiency in Institutional Child Care in Thailand
Keywords:
Computer software, Qualitative data, NVivo, CAQDAS, Qualitative researchAbstract
The Computer-Assisted Qualitative Data Analysis Software (CAQDAS) has been under development for nearly 40 years. In recent years, it has become more accessible to researchers conducting qualitative studies. The program's ongoing evolution has made it increasingly user-friendly. However, a significant challenge remains: broadening users' understanding of this qualitative data analysis tool. This paper presents data obtained from monitoring and evaluating a pilot institutional child and youth care project conducted from 2018 to 2021. The study analyzed qualitative data from 89 caregivers and 78 children and youth, comparing data across five pilot childcare settings in the Northern, Northeastern, Central (including Bangkok and its vicinities), and Southern Regions. The researcher utilized NVivo as the primary tool for analysis, employing its Queries function to explore ways to enhance caregiving capacity and monitor changes in children and youth as they prepare for societal integration. The NVivo analysis demonstrated that the software is beneficial for analyzing complex qualitative data comprising multiple data sets. The software significantly improved the efficiency of analysis and provided thorough and understandable insights into the situations and contexts of child caregiving in institutional settings.
References
Basak, K. S. (2015). Analysis of the impact of NVivo and endnote on academic research productivity. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 9(9), 3237 - 3242.
Bazeley, P., & Jackson, K. (2013). Qualitative Data Analysis with NVivo. Sage Publications.
Dalkin, S., Forster, N., Hodgson, P., Lhussier, M., & Carr, S. M. (2021). Using computer assisted qualitative data analysis software (CAQDAS; NVivo) to assist in the complex process of realist theory generation, refinement and testing. International Journal of Social Research Methodology, 24(1), 123-134. https://doi.org:10.1080/13645579.2020.1803528
Honghton, C., Murphy, K., Meehan, B., Thomas, J., Brooker, D., & Casey, D. (2016). From screening to synthesis: Using NVIVO to enhance transparency in qualitative evidence synthesis. Journal of Clinical Nursing, 26, 873-881. https://doi.org:10.1111/jocn.13443
Hutchison, A. J., Johnston, L. H., & Breckon, J. D. (2010). Using QSR-NVivo to facilitate the development of a grounded theory project: An account of a worked example. International Journal of Social Research Methodology, 13(4), 283–302.
Muhtarom, M., Murtianto, Y. H., & Sutrisno, S. (2017). Thinking process of students with high-mathematics ability: A study on QSR NVivo 11-assisted data analysis. International Journal of Applied Engineering Research, 12(17), 6934–6940.
O’Kane, P., Smith, A., & Lerman, M. P. (2021). Inductive research through computer-aided qualitative data analysis software. Organizational Research Methods, 24(1), 104-139. https://doi.org:10.1177/1094428119865016
Ozkan, B. C. (2004). Using NVivo to analyze qualitative classroom data on constructivist learning environments. The Qualitative Report, 9(4), 589-603.
Paulus, T., Woods, M., Atkins, D., P., & Macklin, R. (2017). The discourse of QDAS: Reporting practices of ATLAS.ti and NVivo users with implications for best practices. International Journal of Social Research Methodology, 20, 35-47. https://doi.org:10.1080/13645579.2015.1102454
Robins, C. S. & Eisen, K. (2017). Strategies for the effective use of NVivo in a large scale study: Qualitative analysis and the repeal of don’t ask, don’t tell. Qualitative Inquiry, 23(10), 768-778. https://doi.org:10.1177/1077800417731089
Vignato, J., Inman, M., Patsais, M., & Conley, V. (2022). Computer-assisted qualitative data analysis software, phenomenology, and Colizzi’s method. Western Journal of Nursing Research, 44(12), 1117-1123. https://doi.org:10.1177/01939459211030335
Wilk, V., Soutar, G. N., & Harrigan, P. (2019). Tackling social media data analysis: Comparing and contrasting QSR NVivo and Leximancer. Qualitative Market Research: An International Journal. https://doi.org: 10.1108/QMR-01-2017-0021
Wolski, U. (2018). The history of the development and propagation of QDA software. The Qualitative Report, 23(13), 6-20. https://nsuworks.nova.edu/tqr/vol23/iss13/2
Wong, L. (2008). Data analysis in qualitative research: A brief guide to using NVivo. Malaysian Family Physician: The Official Journal of The Academy of Family Physicians of Malaysia, 3(1), 14–20.
Woods, M., Macklin, R., & Lewis, G. K. (2016). Researcher reflexivity: Exploring the impacts of CAQDAS use. International Journal of Social Research Methodology, 19(4), 385-403, https://doi.org:10.1080/13645579.2015.1023964
Zamawe F. C. (2015). The Implication of Using NVivo Software in Qualitative Data Analysis: Evidence-Based Reflections. Malawi medical journal, 27(1), 13–15. https://doi.org/10.4314/mmj.v27i1.4
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Department of Educational Research and Psychology, Faculty of Education, Chulalongkorn University
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
