Behavioral and social science statistics

ARCPOH has strong capabilities for applying statistical techniques to social and behavioral science data. We are experienced in the application of generalised linear models, such as multinomial logistic regression, Poisson regression, and survival analysis, to complex social and behavioral science data sets.

In addition to new and emerging statistical tools, we frequently use the standard multivariate analysis tools of the behavioral and social scientist (e.g. factor analysis, discriminant analysis, and multivariate analysis of variance).