Research design and data analysis support
From questionnaire design to a results chapter you can defend: statistical analysis in SPSS, R and Stata for students, researchers and institutions across Tanzania.
The problem we solve
Collecting data is often the easy part. Choosing the right test, cleaning the dataset, checking assumptions and writing results that a supervisor or reviewer accepts is where most projects stall.
We work alongside you: we explain every step, so you understand your analysis and can defend it in a viva, a review or a board meeting.
- Master's and PhD candidates
- Academic researchers
- NGOs and evaluation teams
- Hospitals and health programmes
- Government and institutional research units
What's included
Take the full service or only the parts you need. Every engagement starts with a written scope and fixed fee.
Study design and sampling
Objectives, hypotheses, sample size calculations and sampling plans.
Questionnaire design
Valid, reliable instruments, Likert scales and pilot testing.
Data cleaning and coding
Missing values, outliers, recoding and a clean, documented dataset.
Statistical analysis
Descriptives, t-tests, ANOVA, chi-square, correlation, regression, reliability and more.
Results and interpretation
APA-style tables and figures with plain-language interpretation of every result.
Economic evaluation
Cost-effectiveness and cost-benefit analysis for health and development programmes.
How it works
- BriefObjectives, data and deadlines
- PrepareCleaning, coding and assumption checks
- AnalyseTests matched to each objective
- ExplainTables, interpretation and a walkthrough session
Frequently asked questions
Which statistical test should I use for my research?
It depends on your objectives, the type of variables and your study design. For example, comparing two group means uses a t-test, three or more groups an ANOVA, and relationships between variables correlation or regression. We match every objective to the right test and explain why.
Can you analyse Likert scale questionnaire data?
Yes. We check reliability with Cronbach's alpha, summarise items and scales, and choose parametric or non-parametric tests depending on how the data behaves.
Will I understand the analysis well enough to defend it?
That is the point of our approach. Every engagement ends with a walkthrough session, and the interpretation is written in plain language you can explain yourself.
Do you write theses for students?
No. We support your analysis and explain your results. The research and the writing remain yours, in line with your university's academic integrity rules.
Get help with your analysis
Tell us where you are. A consultant replies within one working day with next steps and a fixed-fee quote.