Survey Sampling
PostgraduateSWI-STA700052019
Course information for 2019 intake
Survey the principles and methods of sampling to collect and analyse social survey data. Sample non-response, variance, survey weights and design effects. Apply multiple sampling methods and estimation techniques. Use constraint sampling survey sizes
Enrolments for this course are closed, but you may have other options to start studying now. Book a consultation to learn more.
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Part of a degree
- Duration
- -
- Loan available
- FEE-HELP available
Survey Sampling
About this subject
After successfully completing this subject, you will be able to:
- Choose a suitable sampling frame for a study
- Compare the basic probability sampling methods including, simple random sampling, systematic sampling, stratified sampling and cluster sampling
- Estimate population parameters from complex samples using appropriate software
- Evaluate the effect of small populations in the calculation of confidence intervals
- Estimate sample sizes for complex designs
- Appraise the effects of non-response bias
- Construct population weightings for sampled data.
- Diverse approaches to sampling
- Estimation methods for: Means, totals, proportions, ratios
- Intra-cluster correlations
- Bias
- Weighting data (compare results with and without weights)
- Simple hypothesis tests using weighting.
This subject of study gives students an understanding of the main principles and methods of sampling required to collect and analyse social survey data. In particular, it introduces students to key concepts in sampling such as a sampling frame, non-response, variance, survey weights and design effects, and how to select samples using the main probability sampling methods (simple random sampling, systematic sampling, stratified sampling and cluster sampling). Students are shown how to perform estimation techniques for the various sampling methods and how to calculate sample sizes for surveys with different constraints.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Quizzes — Online (10%)
- Invigilated Exam (50%)
- Assignments — 2 (40%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
To enrol in this subject, you must be admitted into a degree.
Prior study
You must have successfully completed the following subject(s) before starting this subject:
one of
- SWI-STA60005-Statistical Practice 2
SWI-HMS771 (Not currently available)
Equivalent subjects
You should not enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:
SWI-HMS786 (Not currently available)
Others
Pre-Requisite: Admission to a postgraduate Applied Statistics program.
Additional requirements
- Other requirements -
- Other special requirement
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.