Multivariate regression analyses are used to model CIMI indicators for each of the four dimensions of immigrant integration (economic, social, civic and democratic participation, and health). This approach allows for equal comparisons between immigrants and the Canadian-born population.
In addition, descriptive/unadjusted data analyses are also used to show the raw difference or gap across all CIMI indicators for immigrants and the Canadian-born population. This descriptive data aims to: complement the multivariate inferential techniques; provide the ability to examine both snapshots and patterns/trends in immigrant integration outcomes over time; and assist in further situating and interpreting ranking outcomes.
All data has been standardized using various weighting and computation techniques in order to ensure reliable outcomes. Various diagnostics were also conducted to ensure data quality. See the methodology overview for more details.