Survey Sampling

STA70005 12.5 Credit Points Hawthorn, Online

Duration

  • One Semester or equivalent

Contact hours

  • 36 hours OUA/Hawthorn Online: Fully online unit

On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.

Prerequisites

Aims and objectives

This unit will run for the final time in 2022.  
 
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.

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.
 

Courses with unit

GD-APPS / GD-APPS (OUA) – Graduate Diploma of Applied Statistics
MA-APPS / MA-APPS (OUA) – Master of Applied Statistics