The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer statistical training from the International Program in Survey and Data Science (IPSDS), a joint program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland.
Places are limited, please register early to take advantage of early bird discounts and secure a place.
Topics:
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
Timeframe:
August 14 – September 4, 2025. Weekly Meetings taking place Thursdays, 4:00- 5:00 pm AEST.
Course Objectives
By the end of the course, participants will have learned… ▪ 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. ▪ How to assess if weights are not needed.
Your instructor: Anna-Carolina Haensch
Current positions:
▪ Assistant Research Professor at University of Maryland
▪ Lecturer (Akademische Rätin) at LMU Munich
Teaching engagements:
▪ Review of Statistical Concepts (IPSDS)
▪ Introduction to Machine Learning Techniques (GESIS Summer School)
▪ Introduction to Statistics and Data Science (LMU)
Research areas:
▪ Synthetic Data
▪ Survey Sampling
▪ Missing Data
Prerequisites
▪ Sampling theory,Applied sampling.
▪ Some experience with variance estimation and statistical analysis using survey data will be helpful.
▪ Intermediate knowledge of the R statistical computing software
Grading will be based on:
▪ 4 Homework assignments(50% of grade)
▪ A take-home final exam (30% of grade)
▪ Class Participation (20% of grade) in discussion during the weekly online meetings and posting questions to the weekly discussion forum (deadline: 24 hours before class) demonstrating understanding of the required readings and video lectures
Early Bird Deadline
Please book before 30 May2025 to take advantage of the Early Bird Deadline.
Prices include GST.
Disclaimer
Participants will receive access data for the online course, in particular to any learning platform that may be used. The rights of use connected to the access data are personally assigned to the participant. Passing on the access data is not allowed. Also, the temporary transfer to third parties is not permitted.
The right to use the transmitted access data, in particular with regard to any materials or video recordings provided, can only be exercised up to a maximum of 2 months after the program end. After expiration of this 2-months period, the access data will be deleted by Mannheim Business School (MBS). Before the expiration of this period, the participant may view the respective recorded course as often as desired and without time restriction.
If we have reasons to believe that the participant is abusing the right of use granted to him or that there is a violation of the terms of use, MBS reserves the right to change the participant’s access data as well as to partially or completely block the access or to prohibit the further use of the digital content.
Group bookings
For group bookings, please email events@statsoc.org.au with the names, email addresses, and telephone numbers of the participants in the group.
Cancellation Policy
Occasionally courses have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.
Cancellations received prior to two weeks before the event will be refunded, minus the Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20.
From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.
For any questions, please email events@statsoc.org.au
@StatSocAus
