Survey Sampling
HMS786
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To enrol in this unit, you must be accepted into a course from the provider.
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Level of study: What does Postgraduate mean?
Postgraduate
EFTSL: What does EFTSL mean?
0.125
Delivery Method: What does delivery method mean?
Web Dependent
Prerequisites: What are the prerequisites?
Availability: What is a Study period?
For enrolment (2012): For forward planning* (2013): What is Forward Planning?- SP1
- -
- SP3
- -
Duration:
13 weeks
Government loans available:
FEE-HELP FEE-HELP
Fee: Fees (current and planned)
- Domestic student fee:
- $1,950.00 (AUD)
- International student fee:
- $2,175.00 (AUD)
Description
This unit introduces the theory and practice of sampling methods for social surveys. It includes designing samples, obtaining estimates and sampling errors. The emphasis is on based probability methods such as simple random sampling, stratified sampling, cluster sampling and multi-stage sampling. However, non-probability sampling methods will also be discussed. Both EXCEL and SAS will be used as the computer packages.
Please note: Assessment values are indicative only; details will be advised at the start of the unit.
Enrolment Restriction
In order to enrol in this unit, you must be accepted into one of the following courses:
If you wish to seek approval to enrol in this unit without being accepted in a course, please contact OUA regarding the process.
Prerequisites
Recommended prerequisites
You are recommended to have completed the following unit(s) or have equivalent knowledge before starting this unit:
Special Requirements
- Additional materials
- Other special requirement — You will be asked to sign and return an agreement form in order to obtain a free copy of SAS 9.2. Note: SAS will only run on a Windows platform.
Assessment
- Assignment 1 (10%)
- Assignment 2 (30%)
- Invigilated Exam (50%)
- Quiz (10%)
Learning Outcomes
At the completion of this unit students will be able to:
- choose suitable sample frames
- generate simple random samples
- generate random stratified samples
- generate random systematic samples
- generate random cluster samples
- apply population weightings to sampled data
- estimate sampling error for complex designs
- estimate sample size for complex designs
- estimate population parameters for complex designs
- perform simple hypothesis test for complex designs.
Topics
This unit addresses the following topics.
| Number | Topic |
|---|---|
| 1 | Introduction to sampling |
| 2 | Introduction to SAS |
| 3 | Simple random sampling |
| 4 | Simple random sampling - estimation of population mean |
| 5 | Simple random sampling - estimation of population total |
| 6 | Systemic sampling |
| 7 | Introduction to stratified sampling |
| 8 | Cluster sampling |
Study Resources
This unit is delivered using the following methods and materials:
Instructional Methods
- Discussion Forum/Discussion Board
- Online Quizzes/Tests
- Online assignment submission
- Web links
Print based materials
- Welcome Letter
Online materials
- Printable format materials
Relevant Courses
This unit is a core requirement in the following courses:
- Graduate Diploma of Science (Applied Statistics), Swinburne University of Tnlgy
- Master of Science (Applied Statistics), Swinburne University of Tnlgy
This unit may be eligible for credit towards other courses:
- Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
- In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Unibooks textbook list.
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