RECSM Summer Methods School 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 & Python.

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: On-site & Online

 

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CALENDAR

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

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 spread over 2 days) - Jordi Muñoz

Week 3

July 10 to July 14
Format: online & on-site

• Understanding and modelling 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 booking before the 28th of April, are UPF student or want to register in at least 3 regular courses, please contact us (recsm@upf.edu) before enrolling in the courses and we will provide you with a discount code.

Introductory courses

2 day courses (8 hours in total):

• Students: 200€
• Researchers: 300€
• Professionals: 400€

3 day courses (12 hours):

• Students: 250€
• Researchers: 350€
• Professionals: 450€

Regular courses

2 day courses (8 hours):

• Students: 250€
• Researchers: 400€
• Professionals: 500€

3 day courses (12 hours):

• Students: 300€
• Researchers: 500€
• Professionals: 600€

*Registration opens March 22nd, 2023

 

Discount

Please contact recsm@upf.edu 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 at least 3 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 booking before the 28th of April, are UPF student or want to register in at least 3 regular courses, please contact us (recsm@upf.edu) 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 recsm@upf.edu and received prior to May 26th, 2023. From May 27th cancellation will not be refunded.

Invoices are sent upon demand.

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Organized by: RECSM

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