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Statistical Analysis

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Statistical Analysis research service by IGREC

Service overview

IGREC turns research data into clear, defensible evidence. We align statistical methods with the study design, decision question, data structure, and limits of inference.

Direct answer

Statistical analysis services transform collected data into estimates, comparisons, trends, and tested relationships. IGREC applies suitable methods, checks assumptions, documents code, and explains findings. Decision-makers receive conclusions they can use without overstating certainty.

Organisations needing rigorous analysis, interpretation, and communication of research findings.

Tailored support

A service designed around the decision and field reality.

The scope connects research questions, methods, participants, operations, quality controls and final use.

IGREC team delivering statistical analysis
Decision valueWhat this service helps you decide

Software can produce a result quickly. However, credible analysis depends on design, sampling, variable construction, missing data, clustering, measurement, and assumptions.

IGREC starts with the research question and analysis plan. We then examine data quality and study structure before estimating effects. Additionally, we test sensitivity and distinguish descriptive patterns from causal claims.

Expected outcomesWhat IGREC delivers
  • Analysis that matches the sampling and evaluation design.
  • Transparent estimates, uncertainty, assumptions, and limitations.
  • Reproducible code and reviewable analytical decisions.
  • Clear tables, charts, briefs, and technical explanations.
  • Findings linked to programme, policy, and operational decisions.
Best suited toWho this service supports

This service supports donors, universities, government analysts, NGOs, research institutions, businesses, policy teams, public health programmes, and evaluation units.

How IGREC delivers the service

A controlled process from mobilisation to handover.

01Define the estimand.

We state the population, outcome, comparison, time, and effect that the analysis must estimate.

02Prepare analytical variables.

We apply scoring, indices, weights, treatment variables, and pre-approved transformations.

03Run core analysis.

Methods may include descriptive, regression, longitudinal, experimental, quasi-experimental, or spatial analysis.

04Test robustness.

We examine assumptions, alternative specifications, missingness, outliers, and subgroup patterns.

05Interpret responsibly.

We explain magnitude, uncertainty, practical relevance, limitations, and next decisions.

Typical deliverables

A documented handover your team can use.

  • Statistical analysis plan
  • Reproducible analysis code
  • Tables, figures, and model outputs
  • Robustness and sensitivity checks
  • Technical findings report
  • Decision-focused presentation or policy brief

Why clients choose IGREC

Rigour connected to local implementation knowledge.

IGREC links analysis to implementation context. A statistically significant estimate may still have limited practical value. In contrast, a modest effect may matter when delivery costs are low or coverage is large.

Our project portfolio spans experimental, longitudinal, geospatial, administrative, household, enterprise, health, and mixed-methods data. This range supports method selection across varied research questions.

Relevant IGREC experience

Evidence from related assignments.

IGREC's portfolio includes randomized trials, longitudinal firm data, high-frequency phone surveys, administrative tax records, geospatial mapping, natural experiments, willingness-to-pay mechanisms, and multi-country poverty measures.

Related project

Public reporting and property tax compliance: A field experiment in Kampala, Uganda

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Related project

Firm Dynamics and Worker Resilience to the COVID-19 Shock in Uganda

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Related project

How poverty is measured impacts who gets classified as impoverished

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Related project

Testing willingness to pay elicitation mechanisms in the field

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Frequently asked questions

Practical answers before scoping begins.

Can IGREC analyse data collected by another team?

Yes. We first review the protocol, tools, sample, codebook, quality records, and limitations.

Which statistical software do you use?

The choice depends on client requirements, methods, reproducibility, and existing workflows.

Will the report explain non-technical implications?

Yes. We separate technical detail from clear decision messages, while preserving uncertainty and limitations.

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Convert your dataset into defensible findings

Share your research questions, protocol, dataset, and required outputs. IGREC will propose an analysis plan that matches the evidence and decision.

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Related research capability

Build an integrated service scope.

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