Not currently available in 2022
Develops students’ data and statistical analysis knowledge and skills in health and human sciences. Students will conduct quantitative, qualitative, or mixed-methods analyses on relevant simulated datasets. Students will learn about inferential analyses using standard statistical software, inductive and deductive analyses, and how research can integrate quantitative and qualitative data using mixed methods approaches.
- Inferential statistics: Correlation and associations
- Inferential statistics: Group differences
- Inferential statistics: Prediction and relationships
- Inductive qualitative analyses
- Deductive qualitative analyses
- Integrating quantitative and qualitative data
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
|On completion of this unit, students should be able to:|
|1||select appropriate data and statistical analyses to answer a research question in health and human sciences|
|2||employ data management strategies for quantitative, qualitative, or mixed methods research|
|3||interpret quantitative, qualitative, or mixed methods data analysis|
On completion of this unit, students should be able to:
- select appropriate data and statistical analyses to answer a research question in health and human sciences
- employ data management strategies for quantitative, qualitative, or mixed methods research
- interpret quantitative, qualitative, or mixed methods data analysis
Teaching and assessment
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Please check the international course and fee list to determine the relevant fees.