🔹 Is Qualitative Data Always Primary Data?

🔹 Is Qualitative Data Always Primary Data?

Insights from Stroke Care and IoV Research

Understanding stroke care isn’t just about what happens — it’s about why it matters. In our recent research, we use a mix of sensor data, patient feedback, and AI-driven IoV analytics to capture the full story (Saad, Jamshed, Adedamola, Nauman, & Kim, 2025).

📄 Click here to view the full paper

🧠 Primary vs. Secondary Data

Primary data → Data you collect yourself (interviews, observations, or IoV sensor readings).
Secondary data → Data collected by someone else (published reports, case studies, open datasets).

For example, if we interview stroke patients or observe IoV interactions, that’s primary qualitative data. But if we analyze existing case reports or published interviews, that’s secondary.

“The last decade has witnessed considerable growth in the development of qualitative research... yet this is an area on which most researchers require some guidance.”
— Mason, J. (2002). Linking qualitative and quantitative data analysis. Routledge.

This highlights why blending qualitative and quantitative approaches is so powerful:

  • Numbers reveal what changed.
  • Words explain why it matters.
  • AI-driven tools like TD3-based edge server selection optimize how data is collected and managed in real time (Saad et al., 2025).

🧾 Quick Reference Table

Type What It Uses What It Explains Usually Primary?
Quantitative Numbers, Sensors, Stats How much? How fast? Yes
Qualitative Words, Emotions, Experiences How? Why? What does it mean? Usually yes
Mixed Methods Both numbers and narratives Gives full understanding Yes

🖼️ Visual Insight

A Stealthier Partitioning Attack against Bitcoin Peer-to-Peer Network - page 1

Figure: AI-driven task assignment and load management in heterogeneous IoV environments.

💡 Bottom Line

  • Quantitative = what changed
  • Qualitative = why it matters
  • AI-driven IoV analytics = how to manage and collect data efficiently

Together, they tell a complete research story — from patient care insights to smart IoV systems.

📚 References

Mason, J. (2002). Linking qualitative and quantitative data analysis. In T. May (Ed.), Analyzing qualitative data (pp. 89–110). Routledge.

Saad, M. M., Jamshed, M. A., Adedamola, A. I., Nauman, A., & Kim, D. (2025). Twin Delayed DDPG (TD3)-Based Edge Server Selection for 5G-Enabled Industrial and C-ITS Applications. IEEE Open Journal of the Communications Society.

Tags: IoV Research, Qualitative Analysis, Stroke Care, AI in Healthcare, Mixed Methods, TD3, Edge Computing

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