Training
Training
Analyse d’Équations Structurelles avec R et LAVAAN
Daniel Coulombe
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.
BADA – Advanced STATA programming applied to the analysis of massive and longitudinal administrative data
Xavier St-Denis
Bilingual, face-to-face training. This intensive day will enable you to master the advanced STATA programming techniques essential to the analysis of massive longitudinal and administrative data. On the program: use of macros, loops, programs and matrices, formatting and manipulation of longitudinal data, production of descriptive results. Ideal preparatory training for administrative data analysis. Prerequisites: Previous knowledge of STATA. *This activity does not include an introduction to STATA.
Registration links:
Bootcamp in Administrative Data Analysis – Full program
Xavier St-Denis
Intensive bilingual bootcamp training combining theory and practice to master the analysis of Canadian administrative data. Develop expertise in Statistics Canada’s main databases (tax data, survey linkages and multi-jurisdictional data integration platforms) through morning lectures and afternoon hands-on laboratory workshops. Participants will acquire analysis and programming techniques specific to longitudinal administrative data by working with real administrative databases. Prerequisites: Active research project and valid security clearance; intermediate level in STATA or equivalent software.
BADA – Foundations of administrative data analysis: the case of income analysis with tax data
Xavier St-Denis
Bilingual training, on Zoom or face-to-face. Discover the fundamental concepts of administrative data analysis. Experts will discuss the differences between administrative and survey data, emphasizing the longitudinal and relational nature of the data. Special attention will be paid to T1 files and the possibilities for analyzing income dynamics, participation in government programs, and economic inequalities. Databases discussed: Longitudinal administrative data (DAL) and other tax data.
Open to all.
Registration links:
BADA – Family search with tax data
Xavier St-Denis
Bilingual training, on Zoom or face-to-face. This session explores the use of administrative data to study family and marital dynamics over time. Speakers will introduce key concepts of T1 family files and share their research experiences on family trajectories, fertility measurement and complex family structures. Databases discussed: Longitudinal administrative data (DAL) and other fiscal data.
Open to all.
Registration links:
BADA – Data linkage and migration routes
Xavier St-Denis
Bilingual training, on Zoom or face-to-face. Discover the possibilities offered by administrative data linkage and the challenges associated with this type of analysis. Experts will present concrete examples of the use of linked administrative data, such as the Longitudinal Immigrant Database (IMDB) used in immigration research, and linkages between survey and administrative data. Databases discussed: Longitudinal Immigrant Database (IMDB) and linkages between T1 Family Files and various Statistics Canada surveys.
Open to all.
Registration links:
BADA – Innovations in administrative data: education, labor market and new platforms
Xavier St-Denis
Bilingual training, on Zoom or face-to-face. Explore the new possibilities offered by the Longitudinal Platform between Education and the Labour Market (PLEMT) and other innovations in multi-jurisdictional data linkage platforms. Presentations will cover the new platforms and their applications in research, as well as different strategies used to indirectly measure certain phenomena in administrative data: unemployment, geographic mobility, emigration, etc. Databases discussed: Platform longitudinale entre l’éducation et le marché du travail (PLEMT) and Longitudinal Immigration Statistical Environment (LISE).
Open to all.
Registration links:
Introduction to using the R software package
Marina Doucerain
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.
Introduction à l’utilisation du logiciel STATA
Daniel Coulombe
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. Resources both inside and outside STATA 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 basic quantitative methods.
Analyse de classes latentes
Pier-Olivier Caron
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.
Atelier 1 – Introduction à l’utilisation des données administratives québécoises pour la recherche
Marc Dorais
The aim of this hybrid workshop is to provide an overview of the various Quebec administrative databases 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 CIQSS de l’UdeM (3535, Chemin Queen-Mary – Room 420)
Atelier 2 – Gestion et analyse de données administratives québécoises
Marc Dorais
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 CIQSS de l’UdeM (3535, Chemin Queen-Mary – Room 420)
Mapmaking with R
Tim Elrick
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.
Geospatial analysis in R
Tim Elrick
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.
Costs
1/2 day
1 day and +
Student, postdoctoral fellow and postdoc
$ 50
$ 100 per day
Other
$ 150
$ 300 per day
Cancellation policy
If the event is cancelled by the QICSS, we will reimburse the registration fees.
In the case of a cancellation by the registrant, the following cancellation fees apply:
If the cancellation is more than five working days prior to the activity: 25% of the total amount paid will be retained;
Five working days or less prior to the activity: 50% of the total amount paid will be retained;
Two working days or less prior to the activity: 100% of the total amount paid will be retained.
