How to Conduct a Scientific Study

I have spent over a decade coordinating some of the largest health surveys; NDHS, PHIA, IBBS, and more. The one document that makes or breaks these massive projects is the research protocol. Please permit me to demystify the process for you in my simple, step-by-step guide to developing a competitive research protocol. 1. Identify the Research Problem: Start with a clear, pressing gap in knowledge you want to address. E.g Why do adolescents in rural areas have lower ART adherence compared to urban peers? 2. Justify the Problem (Rationale): Explain why it matters. Is it a public health priority? Does it affect policy or practice? Use stats, reports, or lived experiences to show urgency. 3. Conduct a Literature Review: Summarize what’s known and, more importantly, what’s missing. 4. Define the Goal and Objectives: Your goal is the broad purpose; objectives are the specific, measurable steps. Example of a goal is “Improve adolescent HIV treatment outcomes” while Specific, measurable steps can be to “Assess adherence barriers in three rural states”. 5. Frame Research Questions or Hypotheses: Turn your objectives into clear questions or testable statements. Question example: “What factors influence ART adherence among adolescents in rural Nigeria?” Hypothesis example: “Adolescents with peer-support programs will have higher adherence rates.” 6. Choose a Study Design: Cross-sectional, cohort, randomized trial? Pick what best fits your question. 7. Outline Research Methodology: Detail your population, sample size, data collection tools, and analysis plan. Keep it replicable so that someone else should be able to follow in your footsteps. 8. Define Expected Outcomes: What do you hope to find or demonstrate? Example: “We expect to identify key structural and social factors driving adherence gaps.” 9. Plan Dissemination and Publication: How will you share your findings? Think of conferences, journals, and policy briefs. You can refer to my previous posts for practical tips here>> https://lnkd.in/d9rzRVHK 10. Address Ethical Considerations: Plan for IRB approval, informed consent, and participant confidentiality. This is non-negotiable. 11. Draft a Timeline: Break the project into phases with clear deadlines. Use Gantt charts or even simple month-by-month tables 12. Anticipate Problems: Think ahead about potential delays or logistical issues. A mitigation plan shows you're prepared. 13. Prepare a Budget: Be realistic and detailed about costs for personnel, logistics, and dissemination. Reviewers can spot under- or over-estimates quickly. ✅ Final Tip: A strong protocol is like a strong CV—it tells your story, proves you’re prepared, and convinces reviewers you can deliver. I’ve seen how well-written protocols open doors for funding, collaboration, and global recognition. I hope this roadmap helps you build your confidence. #Research #Protocol #Data #Epidemiology #ResearchCoordinator

Most researchers make a critical mistake in their methods section that instantly signals 'amateur' to reviewers. It's so common that I see it in 7 out of 10 papers, yet so simple to fix... Delay writing your Methods section. Spend time owning your research process first: By answering 4 questions: • What problem did you solve? • For whom did you solve it? • Why did this problem need solving? • How did you solve it effectively? Get comfortable thinking through each: Think through your research design Think through your ethical choices Think through your data collection Think through your analysis steps Think through your limitations Write down specific answers for each. And if you have unclear answers: → Take time to better understand Then, write Methods section in 8 steps: (with the information needed in it) 1. Start with your "why" Remind readers briefly what problem you solved Link your methods directly to your research question (No one cares about methods without context) 2. Pick your approach Choose qualitative, quantitative, or mixed Match it to your research goals Clarify why THIS approach 3. Decode unusual methods Got a unique approach? Explain it Defend why you picked it Show how it beats traditional options 4. Map your data trail List every data source Document each collection step Make it replicable (seriously) 5. Break down your analysis Name your statistical tests List your software versions Share your exact process The next one is what most people forget: 6. Justify your choices Connect methods to outcomes Explain why each choice matters Cut anything that doesn't serve your goal 7. Own your challenges Share what went wrong Show how you fixed it Turn problems into proof 8. Show your ethics List your approvals Explain data protection Prove you did it right Methods aren't a recipe list. They are the whole damn recipe. A proof of your scientific process. Thanks for reading my posts. If you enjoyed this guide: 1. Follow @acagamic to become a smarter researcher. 2. Share this guide to support the original. Have a great day. P.S. Which step do you struggle with most? #research #methods #phd

Most students don’t fail research because they can’t collect data. They fail because they don’t understand their assumptions. Let me explain. Every research study is built on two invisible foundations: 1️⃣ Ontology → What is reality? 2️⃣ Epistemology → How do we know that reality? If you don’t get this right, everything else collapses. Here’s the problem: Students jump straight to methods: • “I’ll run a regression” • “I’ll do interviews” • “I’ll use a survey” But they skip the most important step: 👉 What kind of reality are you studying? If you believe reality is objective and measurable → You move toward quantitative methods If you believe reality is shaped by people and context → You move toward qualitative methods If you accept both → You use mixed methods This is the part most people miss: ⚠️ Methodology is NOT a technical choice 👉 It is a philosophical consequence This is why proposals get rejected: ❌ Misalignment between question, theory, and method ❌ Weak justification of approach ❌ Conceptual confusion Examiners see it immediately. Strong research is not about complexity. It’s about alignment: • Your ontology defines your reality • Your epistemology defines your knowledge • Your methodology must follow both If these don’t align, your research is built on sand. If they do, everything becomes clear: • Your methods make sense • Your argument is coherent • Your contribution is defensible Final thought: Good research is not defined by methods. It is defined by alignment. And alignment starts with ontology and epistemology. #PhD #Masters #ResearchDesign #Academia #Thesis #Dissertation #QuantitativeResearch #QualitativeResearch #MixedMethods #ResearchMethods #HigherEducation #AcademicWriting #Postgraduate #ResearchSkills

𝗧𝗵𝗲 𝗿𝗼𝗮𝗱 𝗳𝗿𝗼𝗺 𝗮𝗻 𝗶𝗱𝗲𝗮 𝘁𝗼 𝗮 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗮𝗿𝘁𝗶𝗰𝗹𝗲 𝗶𝘀 𝗹𝗼𝗻𝗴 𝗯𝘂𝘁 𝗿𝗲𝘄𝗮𝗿𝗱𝗶𝗻𝗴. 𝗛𝗲𝗿𝗲’𝘀 𝗲𝘃𝗲𝗿𝘆 𝘀𝘁𝗲𝗽 𝗯𝗿𝗼𝗸𝗲𝗻 𝗱𝗼𝘄𝗻! 𝟭. 𝗜𝗗𝗘𝗔 𝗚𝗘𝗡𝗘𝗥𝗔𝗧𝗜𝗢𝗡 𝗔𝗡𝗗 𝗥𝗘𝗦𝗘𝗔𝗥𝗖𝗛 𝗗𝗘𝗦𝗜𝗚𝗡 → Formulate a clear research question by identifying gaps in the existing literature. → Plan the study: Choose a methodology, data collection, and ethical considerations. → Secure funding and approvals (e.g., IRB). 𝟮. 𝗗𝗔𝗧𝗔 𝗖𝗢𝗟𝗟𝗘𝗖𝗧𝗜𝗢𝗡 𝗔𝗡𝗗 𝗔𝗡𝗔𝗟𝗬𝗦𝗜𝗦 → Collect data following protocols and ethical standards. → Use statistical or qualitative tools to interpret findings. → Draft initial conclusions linking results back to your research question. 𝟯. 𝗗𝗥𝗔𝗙𝗧𝗜𝗡𝗚 𝗧𝗛𝗘 𝗠𝗔𝗡𝗨𝗦𝗖𝗥𝗜𝗣𝗧 → Follow journal guidelines for structure, formatting, and referencing. → Write clear sections: Abstract, introduction, methods, results, discussion, and conclusion. → Seek feedback from co-authors or mentors. 𝟰. 𝗦𝗨𝗕𝗠𝗜𝗦𝗦𝗜𝗢𝗡 𝗧𝗢 𝗔 𝗝𝗢𝗨𝗥𝗡𝗔𝗟 → Choose the right journal: Ensure scope and audience alignment. → Submit the manuscript with required documents (e.g., cover letter, ethics statement). → Confirm submission acknowledgment. 𝟱. 𝗣𝗘𝗘𝗥 𝗥𝗘𝗩𝗜𝗘𝗪 𝗣𝗥𝗢𝗖𝗘𝗦𝗦 → Editors review for relevance and quality. → Peer reviewers assess originality, validity, and significance. → Respond to revision requests with constructive updates. 𝟲. 𝗥𝗘𝗩𝗜𝗦𝗜𝗢𝗡𝗦 𝗔𝗡𝗗 𝗥𝗘𝗦𝗨𝗕𝗠𝗜𝗦𝗦𝗜𝗢𝗡 → Address reviewer comments thoroughly and prepare a detailed response letter. → Resubmit with revised manuscript for further review or approval. 𝟳. 𝗔𝗖𝗖𝗘𝗣𝗧𝗔𝗡𝗖𝗘 𝗔𝗡𝗗 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡 → Approved articles move to production: Proofreading and finalizing formatting. → Ensure citation consistency and visual appeal for publication. 𝟴. 𝗣𝗨𝗕𝗟𝗜𝗖𝗔𝗧𝗜𝗢𝗡 → Online First: Articles published ahead of print issues. → Indexed in databases like PubMed for visibility. → Promote your article through conferences or social media. 𝟵. 𝗣𝗢𝗦𝗧-𝗣𝗨𝗕𝗟𝗜𝗖𝗔𝗧𝗜𝗢𝗡 𝗜𝗠𝗣𝗔𝗖𝗧 → Track metrics (citations, downloads) to gauge impact. → Respond to questions from readers or the academic community. → Use feedback to refine future research projects. **************** ♻️Repost for others #AcademicJourney #ResearchLifecycle #PublishingTips #GraduateSchool

If your theoretical model cannot be trusted, your results cannot be trusted. (Simple. Yet many papers still don't include model validation) Not including model validation in your work is risky. We had a fruitful discussion in our community the other day about the difference between validation and verification: - Verification asks: Did I implement the model correctly? - Validation asks: Does the model match reality closely enough to be credible? You need both in your paper. And beyond that, you need transparency. That means: - State assumptions & equations clearly - Justify key parameters - Show where data comes from - Explain limits honestly - Make replication easier, not harder This is also where many researchers get journal reviews wrong. They think reviewers are only checking novelty. They are also checking accuracy and reliability of results. - Can they trust the method? - Can they trust the numbers? - Can they trust the logic behind the assumptions? That is why a strong methods section is not just a technical section. It builds your credibility. But remember, the goal is not to impress people with complexity. The goal is to make another researcher say: - “Yes, I can follow this.” - “Yes, this is defensible.” - “Yes, I could replicate this.” That is how you make your paper rock solid. #science #scientist #publishing #research #phd #professor #postdoctoral #postdoc #postgradaute #academia