Cite Evidano
How to cite Evidano in your research
Pick your citation style to get a ready-to-paste justification, the Evidano software citation, and examples from published papers that have used Evidano.
Step 1
Sample justification
Paste this into your methods section, then adjust to your study.
<p>Evidano, an online AI-powered qualitative data analysis software that supports content, thematic, frequency, and cross-group analyses on the documents. Recent qualitative research studies (such as Farrand and Jung; Gamlem et al.; Knippen et al.; Lirasan et al.; Rillero et al.) have used Evidano, and achieved high accuracy and low bias, especially when used with human oversight.</p>
<p>Evidano uses an inductive approach to theme identification by analyzing the entire dataset, which helps avoid the limitations of traditional coding methods that focus on single responses and may overlook broader themes or complex discussions. This method also ensures consistent theme detection across various segments of data and significantly speeds up the analysis process.</p>
Examples
How Evidano was used and referenced
Verbatim excerpts from recent published papers.
Farrand, K. M., & Jung, J. Y. (2025). Therapy Dogs District-Wide: Mental Health and Well-Being Influences in PK-12 Education. <i>Education Sciences</i>, 15(7), 929.
“The AI qualitative research tool Evidano has been used in other qualitative studies to identify themes from interview transcripts... supporting the qualitative data analysis process. Evidano was used to identify themes by research questions in the initial stage and to review alignment with the first authors themes and sub-themes. All AI-generated content was reviewed, revised, and validated by the first author to ensure accuracy, relevance, consistency, and alignment with the research objectives. The transcripts were compared with the AI-generated thematic coding and the first author’s coding to identify alignment with major themes, as well as sub-themes throughout the coding process to inform the different phases of the thematic analysis... AI technology was used as a thought partner to confirm and refine codes identified by the first author.”
Gamlem, S. M., et al. (2025). Exploring pre-service teachers’ attitudes and experiences with generative AI: a mixed methods study in Norwegian teacher education. <i>Educational Psychology</i>, 1–25.
“the anonymised interview transcriptions were further analysed using the AI tool Evidano (http://www.ailyze.com/). The research team compared the results from Evidano with those obtained from the initial manual analysis of the interviews for triangulation and validation purposes.”
Knippen, K. L., et al. (2025). Implementation of clinical practice guidelines using the Plan–Do–Study–Act framework... <i>Nutrition in Clinical Practice</i>.
“To support analytic triangulation, Evidano, an artificial intelligence (AI)–powered qualitative analysis tool was used to generate two independent thematic analyses: one based on AI‐generated coding and another using the researcher‐developed codebook. We compared the two AI thematic analyses with our coding. This process augmented our analysis to explore alignment of coding and enhance analytic reflexivity.”
Lirasan, M. R. A., et al. (2025). Understanding Underreporting of Adverse Drug Reactions in the Philippines: A Mixed Methods Study. <i>Drugs - Real World Outcomes</i>, 12(3), 367–381.
“For data analysis, Evidano — an online tool for qualitative data analysis— was used. While Evidano is less commonly employed in qualitative research compared with more widely known software, its use was justified in this study owing to its ability to efficiently manage and analyze a large volume of text data while remaining user-friendly for the research team. The tool’s output was cross-checked manually by the researchers, and the results were validated by comparing them with the initial coding and through manual verification. This ensured the credibility and accuracy of the findings.”
Rillero, P., et al. (2025). Unraveling the Fictionalized Ideal. <i>Science & Education</i>.
“These passages underwent thematic analysis following Nowell et al.’s (2017) guidelines, utilizing Evidano (2023) for theme-based analysis. Evidano is an advanced tool for qualitative analysis that assists in identifying, categorizing, and refining themes within text assisting in the development of structured insights. We reviewed the generated themes to ensure they accurately reflected our findings. After careful scrutiny, we revised the language to create meaningful themes that represented the findings. The process included initial coding of definitions, theme development, theme refinement, and theme validation stages.”
Step 2
Citation for Evidano
In MLA style, ready to paste into your references.
1. <i>Evidano</i>, Inc. <i>Evidano</i>. 2026. www.evidano.com.
Further reading
Published papers that used Evidano
Copy any of these references directly for your reference list.
- 1Farrand, Kathleen M., and Jae Young Jung. "Therapy Dogs District-Wide: Mental Health and Well-Being Influences in PK-12 Education." <i>Education Sciences</i>, vol. 15, no. 7, 2025, p. 929, doi:10.3390/educsci15070929.
- 2Gamlem, Siv M., et al. "Exploring Pre-Service Teachers’ Attitudes and Experiences with Generative AI: A Mixed Methods Study in Norwegian Teacher Education." <i>Educational Psychology</i>, 2025, pp. 1-25, doi:10.1080/01443410.2025.2528663.
- 3Knippen, Kerri Lynn, et al. "Implementation of Clinical Practice Guidelines Using the Plan–Do–Study–Act Framework: The Methodology and Experiences of the Academy of Nutrition and Dietetics Health Informatics Infrastructure Registry Study on Gestational Diabetes Mellitus." <i>Nutrition in Clinical Practice</i>, 2025, doi:10.1002/ncp.70043.
- 4Lirasan, Mark Ryann A., et al. "Understanding Underreporting of Adverse Drug Reactions in the Philippines: A Mixed Methods Study." <i>Drugs - Real World Outcomes</i>, vol. 12, no. 3, 2025, pp. 367-81, doi:10.1007/s40801-025-00492-z.
- 5Rillero, Peter, et al. "Unraveling the Fictionalized Ideal." <i>Science & Education</i>, 2025, doi:10.1007/s11191-025-00690-9.
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