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. Introduction; Course Perspectives
2. Simple Random Sampling, Sampling Frames, and Introduction to Clustering
3. Stratified Sampling I
4. Stratified Sampling II, Systematic selection
5. Cluster Sampling
6. Unequal-Sized Clusters I
7. Unequal-Sized Clusters II
8. Variance Estimation
Timeframe:
February 6 – April 3, 2025. Weekly Meetings taking place Thursdays, 12:00 – 1:00 pm AEDT
Course Objectives
By the end of the course, participants will… ▪ understand the basic ideas, concepts and principles of probability sampling from an applied perspective ▪ be able to identify and appropriately apply sampling techniques to survey design problems ▪ be able to compute the sample size for a variety of sample designs ▪ understand and be able to assess the impact of the sample design on survey estimates ▪ be able to estimate the precision of the survey statistics using different estimation techniques
Your instructor: Raphael Nishimura, PhD
Raphael Nishimura is the Director of Sampling Operations in Survey Research Operations at the Survey Research Center (SRC) in the Institute of Social Research of the University of Michigan. He has been working with sampling and survey statistics for over ten years. He holds a PhD in survey methodology from the University of Michigan and a bachelor’s degree in statistics from the University of São Paulo. His main research interest includes sampling methods, survey nonresponse and adaptive/responsive designs. Nishimura is also the director of the Sampling Program for Survey Statisticians of the SRC Summer Institute for Survey Research Techniques
Prerequisites
The course is presented at an intermediate statistical level. While we will not develop mathematical aspects of sampling theory, statistical notation and outlines of some algebraic proofs will be given. A
sound background in applied statistics, proficiency in mathematics, including
basic algebra, is necessary, since some algebraic derivations will be presented (although little emphasis will be placed on the derivations). A thorough understanding of the notation and algebraic results will be required.
Grading will be based on:
▪ 8 Homework assignments (50% of grade)
▪ 8 Quizzes (one at the start of each online session; 15% of grade)
▪ Participation in discussion during the weekly online meetings, submission of questions in the weekly discussion forum, demonstrating understanding of the required readings and video lectures, and positive contributions on the Discussion Forum, see below (10% of grade)
▪ A final open-book online exam (25% of grade)
Early Bird Deadline
Please book before 6 January 2025 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
