This workshop will be held in person at CIQSS and will introduce participants to the effective use of STATA.
By the end of the course, participants will be able to manage data files, manipulate and transform variables, and analyze them.
Emphasis will be placed on the use of the main commands, but the graphical interface will also be used.
Internal and external STATA resources will also be used to facilitate learning. Prerequisites: Participants should ideally be familiar with at least one statistical analysis program (SPSS, NCSS, Excel) and have a good understanding of elementary quantitative methods.

This workshop, to be held in person at CIQSS, will introduce participants to latent class analysis, which identifies subgroups of normally unobservable individuals from nominal or ordinal variables.
The course will cover the theoretical foundations, the determination of the number of classes and posthoc analyses.
Participants will use R and Mplus to perform these analyses, and the advantages and disadvantages of both software packages will be discussed. Prerequisites: Familiarity with R or Mplus is recommended, but not essential.

This workshop in hybrid format aims to provide an overview of the various Quebec administrative data banks available for research via the Institut de la statistique du Québec. Participants will learn to identify the key variables in each bank, assess the strengths and limitations of using these data in research, and explore concrete examples of scientific publications based on these data. No prerequisites are required. This workshop is intended for the research community (students, researchers, research staff, coordinators, etc.) and anyone wishing to obtain an overview of Quebec administrative databases.
Location: Online or in person at the Carrefour des arts et des sciences de l’Université de Montréal (Pavillon Lionel-Groulx, Room C-1017-02, 3150, rue Jean-Brillant)

This hybrid workshop will introduce participants to Quebec administrative data management methods, using a synthetic data set of 1,000 individuals (the donaSYq cohort).
The workshop will cover variable creation, file merging, and the creation of a cross-sectional database from several administrative databases.
Participants will receive a kit containing SAS programming examples and synthetic databases that simulate real administrative databases. Prerequisites: Basic programming experience (SAS, R, Stata, SPSS, etc.) is recommended to take full advantage of the workshop. Location: Online or in person at Carrefour des arts et des sciences de l’Université de Montréal (Pavillon Lionel-Groulx, Room C-1017-02, 3150, rue Jean-Brillant)

This virtual workshop, presented in English, will introduce participants to R’s functions and packages for creating geographic maps. The workshop will cover working with coordinate systems, projections, and converting latitude and longitude values into points. By the end of the workshop, participants will be able to create static and dynamic maps displaying point, line and area data, as well as raster images, including inset maps, and export them for reports or websites. Prerequisites: Basic knowledge of R and the tidyverse package is required to take full advantage of the workshop.

This virtual workshop will introduce participants to functions and methods of geospatial analysis within the field of Geographic Information Science (GIS). Participants will learn how to use descriptive statistics on geospatial datasets, analyze point patterns, perform cluster analyses, as well as apply interpolation methods and geographically weighted regression analyses.

This workshop, presented in French, will be held in person at QICSS. It aims to introduce participants to both basic and advanced concepts of structural equation modeling using R and LAVAAN. By the end of this training, participants will be able to specify, estimate, and evaluate structural equation models. They will also learn to use specific LAVAAN functions to perform confirmatory factor analyses and handle multi-group models. This training is intended for graduate students as well as academic and government researchers.

At the end of this training course, participants will have a good knowledge of the R software package, enabling them to carry out simple processing (management, analysis, visualization) on databases.