We are highly skilled in working with primary and secondary survey data and very large national administrative datasets, and we bring substantial experience in merging, manipulating and analysing large datasets.
Our analysts use a wide repertoire of statistical and econometric techniques to get the best results.
Our data analysis work includes:
- top-line descriptive analysis of frequencies and means
- bivariate analysis to create cross tabulations and correlations
- a wide range of multivariate analysis including different regression techniques, cluster analysis, factor analysis and CHAID
- undertaking parametric and non-parametric tests to assess the statistical significance of findings
- econometric analysis to assess impact through Propensity Score Matching and Difference-in-difference analysis, development of probit, spatial panel and fixed-effects regression models and cost-effectiveness analysis
We are constantly updating our methodologies and practices so our outputs benefit from the latest ideas and techniques. This is complemented by our strong academic partnerships, which support our more complex and econometric approaches.