RECSM Summer Methods School 2023
10th Edition RECSM Summer Methods School 2023
On-site & Online
The Research and Expertise Centre for Survey Methodology (RECSM) announces the 10th edition of the RECSM Summer Methods School (June 26 to July 14, 2023)
The RECSM Summer Methods School is a three-week intensive program covering diverse topics on survey methodology and advanced statistical analysis of survey data. Participants can create their own program choosing from 14 courses covering different topics. All courses are taught by leading experts around the world. During the first week, we will offer five introductory courses including three on software programming in R, STATA & Phyton.
Target group: Professionals, Researchers and Students who wish to develop high-quality surveys and employ up-to-date statistical methods for survey and quantitative data analyses. Potential attendees include survey practitioners, marketing professionals, social science students, and researchers.
Objective: To provide participants with the knowledge and skills needed to design surveys, implement statistical analyses and carry out quantitative research.
Format: Online & On-site
Click here to register
Courses (Calendar here)
Week 1 - Introductory courses
June 26 to June 30
Format: online & on-site
- Introduction to STATA (8-hour course, 2 days) - Jordi Gumà
- Introduction to R (8-hour course, 2 days) -Toni Rodon
- Introduction to Python (8-hour course, 2 days) - Tom Paskhalis
- Quantitative methods in social research (12-hour course, 3 days) - Burak Sonmez
- Introduction to regression (12-hour course, 3 days) - Daniele Toninelli
Week 2 - Regular courses
July 3 to July 7
Format: online & on-site
- Causal inference (12-hour course, 3 days) - Bruno Arpino
- Multilevel 1: Introduction to multilevel models (12-hour course, 3 days) - Carla Rampichini & Leonardo Grilli
- Structural equation modeling (12-hour course, 3 days) - Terrence D. Jorgensen
- Survey experiments (12-hour course, 3 days) - Jordi Muñoz
Week 3 - Regular courses
July 10 to July 14
Format: online & on-site
- Understanding and modeling citizen's choice (8-hour course, 2 days) - Marco Steenbergen
- Computational analysis of social media (12-hour course, 3 days) - Carlos Arcila
- Machine learning for social sciences (12-hour course, 3 days) - Christoph Kern
- Questionnaire design (12-hour course, 3 days) - Diana Zavala-Rojas
- Multilevel 2: Analyzing comparative longitudinal survey data using multilevel models (8-hour course, 2 days) - Malcolm Fairbrother
Fees
If you are a UPF student or want to register in at least 3 regular courses, please contact us ([email protected]) before enrolling in the courses and we will provide you with a discount code.
Introductory 8-hour course:
- Students: 200€
- Researchers: 300€
- Professionals: 400€
Introductory 12-hour course:
- Students: 250€
- Researchers: 350€
- Professionals: 450€
Regular 8-hour course:
- Students: 250€
- Researchers: 400€
- Professionals: 500€
Regular 12-hour course:
- Students: 300€
- Researchers: 500€
- Professionals: 600€
Discounts - please contact [email protected] to ask for the discount code before enrolling on your course.
-
5% early bird discount to those who pay before April 28th, 2023
- 10% registering for 3 or 4 regular courses
- 20% registering for at least 5 regular courses
- 25% UPF students (other discounts do not apply to UPF students)
Payment details
You can pay via credit/debit card or with a bank transfer.
If you are a UPF student or want to register in at least 3 regular courses, please contact us ([email protected]) before enrolling in the courses and we will provide you with a discount code.
Cancellation policy: All refund/cancellation requests must be provided via email to [email protected] and received prior to May 26th, 2023. From May 27th cancellation will not be refunded.
Invoices are sent upon demand.