Data Analysis & Modeling

We use the most up-to-date statistical techniques appropriate for the data we analyze, i.e., traditional parametric procedures such as t-tests and ANOVA, as well as non-parametric tests (Mann-Whitney, Kruskal-Wallis, etc.), and advanced techniques (multiple linear regression, logistic regression, discriminant analysis, factor analysis), and others, such as reliability analysis, multidimentional scaling, etc.

We also analyze data from publicly available secondary sources for our clients.