Optimal analysts are highly experienced in applying statistical tools in various research contexts. We are experienced in the use of several standard statistical software packages, such as SAS, STATA, and SPSS, and we have expertise in sample weighting and imputation for non-response items. Optimal also conducts variance analyses for complex sample designs.
Studies at Optimal employ a broad spectrum of inferential techniques, including linear, logit, fixed effects and random effects modeling, factor analyses, hierarchical linear modeling, cluster analyses, and survival analyses. Many of these econometric techniques are also used to develop simulation models and forecast program outcomes for clients.