The large number of data sets available for study allows researchers, scientists and students to explore all areas of social sciences. Administrative files, micro-data, longitudinal panel surveys, cross-sectional surveys, linked data and census data can all be accessed. Below are some examples of the research conducted in the QICSS laboratory recently:
- With data coming from the Canadian Cancer Registry and the Vital Statistics – Death Database, a team led by Feras M. Ghazawi conducted research on causes of cutaneous malignant melanoma (CMM). According to this research, an aging population “contributes significantly to the increase incidence of CMM”;
- Using the accidental experiment created by a policy change in parental leave and using data from the National Londitudinal Survey of Children and Youth (NLSCY), McGill PhD candidate Nagham Sayour was able to show an increase in how much time first-born kids spend with their mother;
- Using data from the National Population Health Survey, Amélie Quesnell-Vallée and James Falconer analysed the moderating effect of sociodemographic factors on the predictive power of self-rater health for mortality in Canada. They are hoping to improve healthcare and the relationship between doctor and patient;
- Researchers in Geography Thomas Herrmann, Geneviève Boisjoli, Nancy A. Ross and Ahmed M. El-Geneidy used the National Household Survey to figure out what makes a neighborhood walking-friendly, and what is most important in designing a city to encourage people to walk more;
- Molly Mayer and Céline Le Bourdais, in 2018, were able to show the impact of Quebec instigating non-transferable paternity leave on families, using data from the General Social Survey.
