Article section
NVivo15 and ATLAS.ti 2025: A comparative study of the main features for thematic analysis
Authors
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Bouali Anas
Master's Student, Theoretical and Applied Linguistics, Faculty of Letters and Human Sciences, Mohammed V University, Rabat, Morocco
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Khiri Majda
Master's Student, Theoretical and Applied Linguistics, Faculty of Letters and Human Sciences, Mohammed V University, Rabat, Morocco
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Labrini Ibtihal
Master's Student, Theoretical and Applied Linguistics, Faculty of Letters and Human Sciences, Mohammed V University, Rabat, Morocco
Abstract
Thematic analysis, as described by Braun and Clarke (2019), is a widely used method in qualitative research. Given that qualitative data analysis can be complex and time consuming, researchers often need specialized software to assist them. This study aims to evaluate and compare two qualitative data analysis software-NVivo 15 and ATLAS.ti 25- based on their AI-assistance, summarizing capabilities and collaborative features. It delves into each software’s characteristics and gathers them into relevant themes accordingly. To do so, an analysis of secondary data, specifically videos made by doctors and computer experts was adopted. The results indicate that NVivo 15 has the upper hand regarding summarizing abilities, collaboration features, and security matters while ATLAS.ti 25 has a slight superiority in coding abilities and an enormous superiority in accessibility. This study could be used as a guiding compass for researchers who are conducting a qualitative study, specifically thematic analysis on open ended qualitative data.
Keywords:
ATLAS.ti 25 NVivo 15 Qualitative Data Software Comparison Thematic Analysis
Article information
Journal
International Journal of Human Post-Edited AI Qualitative Data Analysis
Volume (Issue)
1(01), (2025)
Pages
26-32
Published
Copyright
Copyright (c) 2025 Bouali Anas, Khiri Majda, Labrini Ibtihal (Author)
Open access
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
References
[1] Adu,P.(2024). AI-Powered Qualitative Analysis: NVivo 15 Tutorial for Researchers. YouTube.
[2] Alhojailan.M.I.(2012). Thematic analysis: a critical review of its process and evaluation.
[3] Alfasoft.com.(2024). NVivo – AI features in the new NVivo 15.Youtube.
[4] ATLAS.ti. (2024). ATLAS.ti 2025 features overview [Software documentation].
[5] Bote,J.(2025).ATLAS.ti 25 #transcripción de audios con IA #CAQDAS. YouTube.
[6] Friese, S. (2019). Qualitative data analysis with ATLAS.ti (3rd ed.). SAGE Publications.
[7] Graue, C. (2015). QUALITATIVE DATA ANALYSIS. International Journal of Sales, Retailing & Marketing, 4(9).
[8] Jacelon, C. S., & O'Dell, K. K. (2005). Analyzing qualitative data. Urologic nursing, 25(3), 217-220.
[9] March,E.E & White.M.D.(2006). Content Analysis: A Flexible Methodology. Research gate.
[10] Namey,E.E & Macqueen,K.M & Grest,G.(2012). Introduction to applied thematic analysis.
[11] NVivo 15. https://lumivero.com/products/nvivo/. NVivo website.
[12] Patton,M.Q.(1990). Qualitative Evaluation and Research Methods.
[13] Paulus, T. M., & Lester, J. N. (2021). Doing qualitative research in a digital world. SAGE Publications. QSR International. (2023). NVivo 15 release notes and user guide.
[14] Rao,A.G. (2025). Session 03 Qualitative Data Analysis using ATLAS.ti Thematic, Content, Sentiment, Network, & AI data. YouTube
[15] Richard E. Boyatzis "Transforming Qualitative Information: Thematic Analysis and Code Development" in 1998.
[16] Silver, C., & Lewins, A. (2014). Using software in qualitative research: A step-by-step guide (2nd ed.). SAGE Publications.
[17] Woods, M., Paulus, T., Atkins, D. P., & Macklin, R. (2016). Advancing qualitative research using qualitative data analysis software (QDAS)? Reviewing potential versus practice in published studies using ATLAS.ti and NVivo, 1994–2013. Social Science Computer Review, 34(5), 597–617.
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