Step by Step in Survey Weighting

You are here: Programme & Kurse » Offene Zertifikatskurse » Data Science Courses

Diese Seite

Step by Step in Survey Weighting - Course Details

Delve into the course contents and find out about the faculty members.

Single Course Price:

400.00 EUR (tax exempt)

 

Instructor:

Benjamin M. Reist (NASA)

Video lecture:

Richard Valliant, PhD (University of Michigan)

 

Course Dates

To see all courses in the upcoming term click here.

 

Book this course here!

In order to book the course with alumni conditions, please get in touch with Manon Pfeifer directly.

Course Description

Short Course Description
This course is a statistical methods class combining hands-on applications and general review of the theory for survey weighting.

Prerequisites
Sampling theory, Applied sampling (e.g., SURV626), or Practical Tools (Part I) for Sampling.
Some experience with variance estimation, statistical analysis using survey data, and the R statistical computing software will be helpful.

Course Objectives
By the end of the course, students will understand the…

  • role of survey weights in population inference.
  • steps in weighting, including computation of base weights, nonresponse adjustments, and uses of auxiliary data.
  • nonresponse adjustment alternatives, including weighting cell adjustments, formation of cells using classification algorithms, and propensity score adjustments.
  • weighting via poststratification, raking, general regression estimation, and other types of calibration.
  • assessing if weights are not needed

Course Composition
This is a 2 ECTS course, which runs for 4 weeks. The content of the course is broken down into 4 units:

  1. Basic Steps in Weighting
  2. Basic Steps in Weighting (continued)
  3. Calibration and Other Uses of Auxiliary Data in Weighting
  4. Calibration (continued) and Replicate Weights

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 forum 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
Grading will be based on:

  •  4 H omework assignments (worth 60% total)
  • A take-home final exam (worth 30%)
  • Class Participation (worth 10%) in discussion during the weekly online meetings and posting questions to the weekly forum demonstrating understanding of the required readings and video lectures

ZFU Certification and Online Dispute Resolution

ZFU Certification

The Mannheim Master of Applied Data Science & Measurement program is certified according to the regulations of the ZFU (Staatliche Zentralstelle für Fernunterricht).

 

Online Dispute Resolution

Online dispute resolution according to Art. 14 Sect. 1 ODR-VO: The European Commission provides a platform for online dispute resolution (ODR). You can find more information under http://ec.europa.eu/consumers/odr/

MANNHEIM BUSINESS SCHOOL (MBS)

Located in the heart of the German and European economy, Mannheim Business School (MBS), the umbrella organization for management education at the University of Mannheim, is considered to be one of the leading institutions of its kind in Germany and is continuously ranked as Germany’s #1.

SOCIAL MEDIA NEWS WALL