we love stats!
We have a long track record of collecting, collating, and classifying information in datasets small and large. Much of our work depends upon the systematic comparison of qualitative data, a problem familiar to public policy analysts and evaluation specialists the world over. We often confront the “small N, large Y” issue (small number of observations, large number of potential explanatory variables), and are adept at bringing the latest analytical techniques to bear, such as fuzzy-set qualitative comparative analysis (fsQCA).
We routinely use large, complex datasets in our evaluation work to provide background, context, and comparison such as the Labour Force Survey (LFS), the Annual Population Survey (APS), the Inter-Departmental Business Register (IDBR), and other survey-based and administrative datasets. For example, we are able to construct, counter-factual groups for intervention-based programmes using tools such as Propensity Score Matching (PSM). Our statistical analysis staff are trained in safe data-handling and pseudonymisation techniques, and have been approved by the Office of National Statistics (ONS) for secure access in the Virtual Micro-Labs (VML) run by ONS.
Our team has expertise in basic and advanced statistical analysis, from cross-tabulations and measures of association through to time-series, non-parametric approaches, and multi-level modelling. If you are not versed in advanced statistical techniques, fear not - we have experience presenting complex statistical analyses in engaging, easy-to-read, and compelling tables, charts, and graphics that effectively communicates the story to a lay audience. If you are well-versed in those techniques, then come and talk to us - we speak your language!
Want to impress with statistics? We can help you do it.