Delve into the course contents and find out about the faculty members.
400.00 EUR (tax exempt)
Laura Boeschoten (Tilburg University)
Daniel Oberski, PhD (Utrecht University)
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Short Course Description
Surveys reflect the opinions or facts researchers are after only partly – the other part will be measurement error, which can seriously bias analyses of interest. To remove such biases it is essential to estimate the extent of measurement error in survey variables, which is precisely the goal of statistical measurement error modeling. In this course, we will discuss how measurement error can be defined, how its presence can be detected using specialized data collection designs and models, and how to perform error-corrected statistical analyses of substantive interest.
By the end of the course, students will…
This is a 2 ECTS course, which runs for 4 weeks. The content of the course is broken down into 4 units:
Learning and Teaching Methods
In this course, you are responsible for watching video recorded lectures and reading the required literature for each unit and then “attending” mandatory weekly one-hour online meetings where students have the chance to discuss the materials from a unit with the instructor. In addition, students are encouraged to post questions about the materials covered in the videos and readings of the week in the weekly forum on the course page before the meetings. Just like in an on-site course, homework will be assigned and graded and there will be a final exam at the end of the course.
Grading will be based on:
The Mannheim Master of Applied Data Science & Measurement program is certified according to the regulations of the ZFU (Staatliche Zentralstelle für Fernunterricht).
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