# Survey Sampling - 2018

To enrol in this unit, you must be accepted into a course from the provider. Read before you start

## Unit summary

### STA70005

• Delivery method: Fully Online
• Prerequisites: Yes
• Duration: 13 weeks
• Government loans available: FEE-HELP
• Availability for 2017: SP3
• Availability for 2018: SP3
• Assessment: Assignments - 2 (40%) , Invigilated Exam (50%) - Learn more

Unit provided by

2018 Fees
AUD\$
Domestic 2,830.00
Domestic continuing 2,620.00
International 3,080.00
International continuing 2,870.00

Tuition fees are reduced for continuing registered SWI students.

This unit 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 unit.

After successfully completing this unit, you will be able to:

1. Choose a suitable sampling frame for a study
2. Compare the basic probability sampling methods including, simple random sampling, systematic sampling, stratified sampling and cluster sampling
3. Estimate population parameters from complex samples using appropriate software
4. Evaluate the effect of small populations in the calculation of confidence intervals
5. Estimate sample sizes for complex designs
6. Appraise the effects of non-response bias
7. Construct population weightings for sampled data.
• Assignments — 2 (40%)
• Invigilated Exam (50%)
• Quizzes — Online (10%)

#### Equivalent units

You cannot enrol in this unit if you have successfully completed any of the following unit(s) because they are considered academically equivalent:

• HMS786 — Survey Sampling

#### Mandatory prerequisites

You must have successfully completed the following unit(s) before starting this unit:

• Other special requirement

In order to enrol in this unit, you must be accepted into one of the following courses:

This unit addresses the following topics.

NumberTopic
1Diverse approaches to sampling
2Estimation methods for: Means, totals, proportions, ratios
3Intra-cluster correlations
4Bias
5Weighting data (compare results with and without weights)
6Simple hypothesis tests using weighting.

This unit is delivered using the following methods and materials:

#### Instructional Methods

• Discussion Forum/Discussion Board
• Online Quizzes/Tests
• Online assignment submission

#### Print based materials

• Welcome Letter

#### Online materials

• Printable format materials

This unit is a core requirement in the following courses:

This unit is part of a major, minor, stream or specialisation in the following courses:

This unit may be eligible for credit towards other courses:

1. 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.
2. 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 Co-Op textbook list.

Textbook information for this unit is currently being updated and will be available soon. Please check back regularly for updates. Alternatively, visit the The Co-op website and enter the unit details to search for available textbooks.

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