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The catalogue

Six services.

AcadStat designs research, collects and manages data, performs statistical and qualitative analysis, strengthens research outputs, and delivers commissioned research and evaluation for organisations. Each service addresses a distinct part of the research process, and several can be combined when a project requires a complete research operation.

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Stacked typology — six named layers of work. Select a layer to open that chapter.
A working table of notes, a laptop, and study documents.

01 / Design

Research Design

Turn a research question into a study that can actually be executed.

What it is

Research Design is the foundation of a defensible study. We work from the research question to determine what needs to be measured or explored, who needs to be included, how participants or data sources should be reached, what the study design can support, and how the evidence will ultimately be analysed.

This includes developing the study protocol, defining the sampling approach, selecting appropriate methods, and developing or reviewing the instruments used to collect data. Questionnaires, interview guides, observation tools, assessment instruments, and other data collection tools are examined for clarity, relevance, measurement quality, structure, and suitability for the planned analysis.

The practical conditions of the research are considered at the design stage. Population, setting, access, resources, field procedures, ethics, data quality, and analytical requirements all have to work together. A study should not discover these constraints after data collection has already begun.

When you need it

You need Research Design when you have a research question but need a defensible method for answering it. You may already have a protocol that needs strengthening, a study concept that needs to become executable, or data collection instruments that need to be reviewed before they are deployed.

You may also need it when a study has been designed without sufficient attention to sampling, measurement, field realities, ethics, or the analysis that will eventually be required.

What AcadStat delivers

AcadStat can develop or strengthen the complete research design, including the research questions, objectives, study design, sampling approach, methodology, data collection procedures, and analysis framework.

We can develop new questionnaires and research instruments, or review existing ones to determine whether they adequately measure the intended constructs and generate data that can support the proposed analysis.

We also prepare the relevant study documentation and ethics materials around the actual research design. The aim is not simply to produce a methodology document. The aim is to create a study that can be implemented, monitored, analysed, and defended.

Open Research Design →

A settlement along a rural road. Coverage is planned from the study design.

02 / Collect

Data Collection

Trained teams, appropriate instruments, and active supervision while the research is in the field.

What it is

Data Collection is the execution of the fieldwork defined by the research design. AcadStat can provide trained enumerators, supervisors, and field teams appropriate to the study population, setting, and research requirements.

We work across settings that may include communities, healthcare facilities, schools, workplaces, markets, organisations, and other research environments. The field approach is determined by the study rather than by a fixed collection model.

Digital data collection can be implemented using platforms such as REDCap, KoboToolbox, and ODK, where appropriate to the project. Field procedures, participant engagement, supervision, quality checks, and escalation processes are established before collection begins.

When you need it

You need Data Collection when the research design is ready and reliable primary data needs to be generated in the field.

You may also need it when an existing study requires additional fieldwork, when collection is already underway but requires stronger supervision and quality control, or when your organisation has designed the study but does not have the field capacity to execute it.

What AcadStat delivers

AcadStat can manage the field operation from preparation through completion.

This may include field team recruitment and training, instrument deployment, field supervision, participant coordination, daily quality review, monitoring of collection progress, identification of data quality issues, and secure transfer of completed records.

Where digital collection is used, we can configure and deploy appropriate instruments and establish procedures for monitoring completeness, consistency, and other quality indicators while collection is still underway.

The objective is not simply to collect a large number of records. It is to produce data that can be traced to the research design and trusted when the analysis begins.

Open Data Collection →

Shelved volumes kept in order.

03 / Manage

Data Management

Preserve the original data, document important decisions, and create an analysis ready dataset.

What it is

Data Management is the process that turns collected or received data into a structured, documented, and analysis ready dataset.

It covers the work between the original data and the analytical file. This includes checking completeness, missingness, ranges, duplicates, coding, labels, skip patterns, inconsistencies, variable structures, and other issues that can affect analysis.

Good data management also means knowing what happened to the data. The original dataset should remain preserved, while cleaning and transformation take place in clearly identified working files. Decisions should be documented so that the path from the original data to the final analytical dataset can be understood and, where necessary, reproduced.

When you need it

You need Data Management when you already have data from AcadStat, another research team, an organisation, a previous study, a survey platform, a monitoring programme, or another source, and that data needs to be prepared for analysis.

You may also need it when an analytical dataset already exists but the preparation process is unclear, undocumented, inconsistent, or difficult to reproduce.

What AcadStat delivers

AcadStat preserves the original dataset as received and performs data preparation through controlled working files.

Depending on the project, this can include data cleaning, coding, recoding, variable construction, consistency checks, missing data assessment, duplicate review, data restructuring, merging of datasets, documentation, and preparation of the final analytical file.

You receive an analysis ready dataset together with the relevant codebook and documentation of important data preparation decisions.

The result is not simply cleaner data. It is data whose structure and preparation can be understood.

Open Data Management →

A laboratory microscope. Methods applied with checks.

04 / Analyse

Statistical Analysis

Turn data into evidence through appropriate methods, careful checking, and clear interpretation.

What it is

Statistical Analysis is the process of answering research questions with data. The appropriate analytical approach depends on the research question, study design, sampling approach, measurement structure, and characteristics of the dataset.

AcadStat can perform statistical analysis for a study that has not yet been analysed, review an analysis that has already been conducted, or carry out a complete reanalysis when the existing approach needs to be reconsidered.

This means the service can support different stages of a research project. You may have a completed dataset and need the analysis done from the beginning. You may already have statistical results and want an independent review. You may have an analysis that contains methodological or technical problems and need it redone. You may also need additional analysis to answer research questions that were not adequately addressed in the original work.

Our work can include descriptive analysis, inferential statistics, regression modelling, association testing, comparative analysis, subgroup analysis, longitudinal analysis, survey analysis, and other methods appropriate to the study. Where the evidence is qualitative, appropriate qualitative coding and analytical approaches can also be applied.

The analysis is developed around the evidence available and the claims the study can reasonably support. Where assumptions, uncertainty, limitations, or design constraints affect interpretation, these are made explicit.

When you need it

You need Statistical Analysis when a dataset exists and the research questions need to be answered.

You may need us to conduct the analysis for the first time, review an existing analysis, reproduce an analysis to verify the results, correct analytical errors, perform a reanalysis using a more appropriate method, or extend an existing analysis to address additional research questions.

You may also need statistical support when you have results but are uncertain about what they mean, whether the methods used were appropriate, or whether the conclusions are supported by the data.

What AcadStat delivers

AcadStat begins by understanding the research question, study design, variables, sampling approach, and analytical objectives. We then determine the appropriate analytical strategy and apply the relevant methods.

Depending on the project, our work may include data preparation for analysis, descriptive statistics, statistical testing, model development, assumption checking, diagnostic procedures, sensitivity analysis, subgroup analysis, interpretation, tables, figures, statistical syntax, and analytical documentation.

When reviewing or redoing an existing analysis, we examine the original methods, data preparation, statistical procedures, assumptions, outputs, and interpretation. Where necessary, the analysis is reconstructed so that the results can be independently understood and checked.

The final output is not simply statistical software output. We explain what the findings show, what they do not show, how certain the conclusions are, and what limitations should accompany their interpretation.

Open Statistical Analysis →

A manuscript in progress on the desk.

05 / Support

Academic Research Support

Strengthen the research, the methodology, and the argument while keeping ownership with the researcher.

What it is

Academic Research Support provides professional methodological, analytical, and editorial support for researchers working on serious research projects.

The work can cover proposals, research protocols, theses, dissertations, journal manuscripts, conference papers, reports, and other research outputs. The focus is on whether the research question, methodology, analysis, interpretation, and written argument are aligned.

We can review research designs, examine analytical approaches, assess whether claims are supported by the evidence, strengthen methodological explanations, improve the presentation of statistical findings, review tables and figures, and identify weaknesses that need to be addressed before submission or publication.

The objective is to strengthen the research without compromising research integrity or taking ownership of the research away from the researcher.

When you need it

You need this when a research project requires methodological review, analytical support, critical feedback, or professional editorial strengthening.

You may have a proposal that needs a stronger design, a research report that requires analytical review, a manuscript whose findings and interpretation are not fully aligned, or a completed study that needs its methods and results presented more clearly.

What AcadStat delivers

AcadStat provides focused support based on the needs of the research.

This may include methodological review, statistical review, analysis interpretation, results presentation, tables and figures, research document editing, consistency checks, and feedback on unsupported or overstated claims.

The researcher retains ownership of the work. Our role is to strengthen the quality, clarity, methodological soundness, and presentation of the research.

Open Academic Research Support →

A working meeting around a table.

06 / Evaluate

Institutional Research

Commission a research project and let AcadStat manage the work from the initial question to the final evidence.

What it is

Institutional Research is AcadStat's commissioned research service for organisations that need a study, evaluation, assessment, or evidence base to support a decision, programme, policy, intervention, strategy, or organisational objective.

An organisation may come to us with a clearly defined research brief, or simply with a problem it needs to understand. AcadStat can work with the organisation to define the research question, develop the study design, prepare the instruments, obtain the necessary approvals, coordinate data collection, manage the resulting data, conduct the analysis, interpret the findings, and produce the final report.

This allows an organisation to engage one research partner to coordinate the different stages of a project rather than assembling separate teams for design, fieldwork, data management, analysis, and reporting.

This may include commissioned research for universities, NGOs, development organisations, health systems, businesses, government related programmes, foundations, international organisations, and other institutions working in Nigeria and beyond.

Monitoring and evaluation can also fall within this service when the organisation needs to understand programme performance, outcomes, implementation, reach, effectiveness, or other defined indicators.

When you need it

You need Institutional Research when your organisation has a question that requires structured evidence and you want a research partner capable of managing the work.

You may need to understand a population, assess a programme, evaluate an intervention, investigate a problem, generate evidence for a strategic decision, conduct a baseline or follow up study, understand implementation, or produce an independent assessment.

You may already have a detailed research brief, or you may need support translating an organisational problem into a researchable question.

What AcadStat delivers

AcadStat can manage the research lifecycle according to the scope of the commission.

This may include research scoping, study design, protocol development, sampling, instrument development or review, ethics documentation, fieldwork planning, data collection, data management, statistical or qualitative analysis, interpretation, reporting, presentation of findings, and relevant research documentation.

For projects that require only selected stages, the organisation can commission the specific services needed. For projects requiring a complete research operation, AcadStat can coordinate the work across the full research process.

The final output depends on the brief and may include an analytical dataset, research report, statistical tables, figures, qualitative findings, evaluation report, technical documentation, executive summary, or presentation of findings.

Confidentiality, methodological transparency, appropriate documentation, and evidence that can withstand scrutiny remain central throughout the work.

Open Institutional Research →

Next step

Name the question. We will define the work.

Tell us what you are trying to investigate, understand, measure, evaluate, or decide. AcadStat can help determine which part of the research process you need support with, whether that is a specific service or a complete research project managed from beginning to end.

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