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.
About the course
The 8-week online sampling course is aimed at working professionals who are interested in expanding their data collection skills. The course will be available fully online with prerecorded videos that students are expected to watch on their own time plus weekly 1-hour live interactive sessions with the instructor, Raphael Nishimura, Director of Sampling Operations at the University of Michigan.
About the presenter
Raphael Nishimura is the Director of Sampling Operations at the Survey Research Operations in the Survey Research Center at the Institute for Social Research from the University of Michigan. He has PhD in Survey Methodology from the Michigan Program in Survey Methodology and a Bachelors degree in Statistics from the Institute of Mathematics and Statistics at the University of Sao Paulo.
His research interests are survey sampling, responsive designs and nonresponse adjustments (weighting and multiple imputation).
In particular, Raphael is interested in methods that mitigate survey nonresponse during data collection using different approaches, such as responsive design and multiple imputation models for nonignorable missing data.
His dissertation topic was about the use of substitution of nonresponding units in probability-based samples.
Course dates
Course dates: Oct 12 – Dec 7, 2022
Weekly live sessions with instructor: Thursdays, 11am AEDT
Early Bird Deadline
Please book before 30 June 2022 to take advantage of the Early Bird Deadline.
Course objectives
By the end of the course, you will…
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understand the basic ideas, concepts and principles of probability sampling from an applied perspective
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be able to identify and appropriately apply sampling techniques to survey design problems
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be able to compute the sample size for a variety of sample designs
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understand and be able to assess the impact of the sample design on survey estimates
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be able to estimate the precision of the survey statistics using different estimation techniques
Grading
Grading will be based on:
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Homework assignments (50% of the grade)
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Quizzes (15% of the grade)
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Participation in discussion during the weekly online meetings, submission of questions demonstrating understanding of the required readings and video lectures and positive contributions on Piazza (10% of grade)
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A final open-book online exam (25% of grade)
The course is graded to meet requirements of IPSDS and can be credited towards a certificate or master's degree at JPSM.
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.
Readings:
Survey Sampling by Leslie Kish (John Wiley and Sons, Inc., New York, 1965).
Weekly online meetings & assignments:
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Week 1: Introduction; Course Perspectives (Quiz 1, Assignment 1)
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Week 2: Simple Random Sampling, Sampling Frames, and Introduction to Clustering (Quiz 2, Assignment 2)
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Week 3: Stratified Sampling I (Quiz 3, Assignment 3)
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Week 4: Stratified Sampling II, Systematic selection (Quiz 4, Assignment 4)
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Week 5: Cluster Sampling (Quiz 5, Assignment 5)
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Week 6: Unequal-Sized Clusters I (Quiz 6, Assignment 6)
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Week 7: Unequal-Sized Clusters II (Quiz 7, Assignment 7)
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Week 8: Variance Estimation (Quiz 8, Assignment 8)
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Final exam
To Register:
Group bookings
For group bookings, please email Jodi Phillips with the names, email addresses, and telephone numbers of the participants in the group.
Cancellation Policy
Occasionally workshops 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 a $20 administration fee. 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.
Online events: As you will still be able to watch the workshop stream after the event, we will not be offering any refunds.
For any questions, please email SSA's Event Coordinator, Jodi Phillips.
@StatSocAus
