This course is a comprehensive practicum in survey data analysis. Beginning from a review of the theoretical underpinnings of survey research, students will learn to conceptualise and operationalise research questions suitable to address with population surveys.

The second part of the course will focus on sampling techniques; which samples can be considered to be representative and how survey results can be interpreted.

A large part of the course will be devoted to learning how to analyse data in PASW Statistics. Students will also learn to write data analysis reports based on their own analysis of recent Australian and international surveys. 

• After completing the course students will read and critique quantitative articles with greater understanding. They will be able to design a basic survey questionnaire with an understanding of concepts underpinning the construction of variables. Moreover they will learn how to optimally use a range of descriptive and inferential statistics.
• Students will understand the concept of random sampling and its relationship to statistical inferences. They will be able to independently perform a range of survey data analyses including cross-tabulations, t-tests and ordinary least square regressions to answer various research questions. The course will also provide an opportunity to learn how to write survey data analysis reports to professional standards.

Examination (35%), assignments (55%) and tutorial and lab participation (10%).

14 hours of lectures, 8 hours of tutorials and 10 x one hour computer laboratory sessions. Lectures will be taped.

Any two first-year courses or with the permission of the coordinator.