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Research · Data · Evidence

From research questions to reliable evidence.

AcadStat helps researchers, institutions and organisations design studies, collect high-quality data, manage research datasets, perform rigorous analysis and communicate findings with confidence.

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Research Support · Field Data Collection · Analysis · Nigeria & Beyond

QUESTIONDESIGNDATAANALYSISEVIDENCE

QUESTION

Research Expertise

Study design that can actually be executed in the field.

Technology-Enabled Fieldwork

Trained teams, digital instruments, daily quality signals.

Rigorous Analysis

Methods matched to the question — not the other way around.

Confidential Data Handling

Versioned files. Restricted access. An audit trail.

The research problem

Research rarely fails because of one thing.

DESIGNDATA COLLECTIONDATA QUALITYANALYSIS

A strong research question can still produce weak evidence if the methodology, fieldwork, data management or analysis is poorly executed.

AcadStat connects the entire research workflow.

Pipeline

Question to evidence, in sequence.

Clarify the question, constraints, and what a useful answer would look like.

Services

Six ways in. One standard of evidence.

Research DesignTurn research questions into rigorous study protocols.Explore Service → Data CollectionDeploy trained research assistants and field teams.Explore Service → Data ManagementClean, structure, validate and document research datasets.Explore Service → Statistical AnalysisApply appropriate methods to generate meaningful evidence.Explore Service → Academic Research SupportStrengthen proposals, manuscripts, theses and research outputs.Explore Service → Institutional ResearchDeliver studies, evaluations and evidence for organisations.Explore Service →

Where are you

Where are you in your research journey?

Choose one. We recommend a starting point — not a package you do not need.

See how a study reads as data.

Completion
Coverage
Response
Missingness

Field research

Research doesn’t happen only behind a screen.

From communities and healthcare facilities to schools, workplaces and markets, AcadStat supports research teams on the ground.

Data collection

Quality

Quality isn’t the final step. It’s built into the process.

  1. Design QA
  2. Field QA
  3. Data QA
  4. Analytical QA
  5. Final review

Field: training, supervisor review, digital validation, daily monitoring. Data: missingness, range, duplicates, consistency. Analysis: method review, reproducible scripts where applicable, interpretation review.

Integrity

Research support without compromising research integrity.

No fabricated data. No fabricated participants. No invented results. No plagiarism. No manipulated statistical findings. We support researchers in conducting and communicating their work responsibly.

Who we serve

The work is the same standard. The context is not.

Researchers. Universities. NGOs and development programmes. Health systems. Businesses. International teams working in Nigeria and beyond.

See how we work with each →

Insights

How to determine the appropriate sample size for a surveyResearch methodsRead → When should you use logistic regression?StatisticsRead → Common data quality problems in field surveysData collectionRead →

FAQ

Do you provide research assistants?

Yes. Trained, project-matched enumerators and supervisors — a field workforce, not the management team on About.

Can you collect data outside Lagos?

Coverage is planned from the study design. We do not claim nationwide reach until the network supports the locations you need.

Can you analyse an existing dataset?

Yes. We start with a data audit. Raw files stay immutable.

How is research data protected?

Classified storage, authorised downloads, versioning, and an audit trail. Participants are never platform users.

All questions →

Your research deserves better evidence.

Tell us what you’re trying to investigate. We’ll help you determine the next step.

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