Nijmegen, Netherlands

Social Science Measurement: Designs, Models, and Strategies

when 20 June 2022 - 24 June 2022
language English
duration 1 week
credits 2 EC
fee EUR 575

The course focuses on applying qualitative and quantitative research design and measurement models to achieve valid measurement, and on strategies for when measurement problems cannot be avoided.

Course leader

Kim Sass Mikkelsen
Associate professor of Public Administration and Politics
School of Governance, Department of Political Science and Business
Roskilde University

Target group

- Master
- PhD
- Post-doc
- Professional

This PhD level course is open to all researchers aiming at bringing their research to the next level. It is particularly designed for those who are working toward collecting their own data or preparing to work with data obtained from others. Participants who have finalized their data collection will benefit as well but will not be able to utilize all the provided tools.

Course aim

After this course you are able to:

- Identify and diagnose a wide set of measurement problems in social science research
- Identify and create research design solutions to measurement problems
- Identify and apply appropriate strategies for diagnosing and combatting measurement problems
- Argue the severity, direction, and context of specific measurement problems and assess whether they are likely to threaten conclusions of a scientific study.

Credits info

2 EC
2 ECTS credits, with the possibility of an extra 1-3 ECTS credits depending on additional course work and assignments handed in during or after the summer school (for a possible total of up to 5 ECTS).

Fee info

EUR 575: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.

Scholarships

We offer several reduced fees:
€ 518 early bird discount- deadline 1 April 2022 (10%)
€ 489 partner + RU discount (15%)
€ 431 early bird + partner + RU discount (25%)

Register for this course
on course website