2024 Summer Methods School
The Research and Expertise Centre for Survey Methodology (RECSM) announces the 11th edition of the RECSM Summer Methods School (June 25 to July 12, 2024)
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 choose from 14 courses covering different topics to create their own program. All courses are taught by leading experts around the world. During the first week, we will offer introductory courses, including courses on software programming in R and STATA, while the second and third week focuses on more advanced learning.
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
Registration deadline: 14th of June
Week 1 - Introductory courses
June 25 to June 28
Format: online & on-site
Week 2 - Regular courses
July 1 to July 5
Format: online & on-site
- Causal inference (12-hour course, 3 days) - Bruno Arpino
- The ABCs of Regression Discontinuity Designs and Instrumental Variables (12-hour course, 3 days) - Mar C. Espadafor
- Multilevel 1: Understanding the foundations of multilevel models (12-hour course, 3 days) - Carla Rampichini & Leonardo Grilli
- Advances in comparative survey research and survey data harmonization (12-hour course, 3 days) - Marta Kołczyńska
- Survey experiments (12-hour course, 3 days) - Jordi Muñoz
Week 3 - Regular courses
July 8 to July 12
Format: online & on-site
- Understanding and modeling voting behavior (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 (12-hour course, 3 days) - Alexander Schmidt-Catran
You can sign up now! You must first register and then enrol.
UPF students or individuals who have taken a course at UPF before can skip to enrolment.
Please refer to the registration and enrolment guide for instructions. If you have any queries, please contact [email protected].
Registration deadline: 14th of June
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We are grateful to our sponsors, Netquest, whose support is integral to making the RECSM Methods School happen.
Since 2001, Netquest has provided genuine and insightful data to market researchers. Netquest's data collection capabilities and its consumer panels in over 20 countries make them a trusted partner that helps organizations and businesses analyze the market, gain valuable insights, and truly understand consumers