Unit rationale, description and aim
This unit provides an introduction to the presentation and analysis of data used in health science research. It presents a perspective on the issues of data management as a basis for the application of these issues to specific research problems. Common principles for the management of quantitative data are explored. Some opportunity for specialisation in particular components of data management specific to the needs of the student's developing research problem will be offered. The unit aims to increase students' knowledge and skill in aspects of data management appropriate to honours research.
Campus offering
No unit offerings are currently available for this unit.Learning outcomes
To successfully complete this unit you will be able to demonstrate you have achieved the learning outcomes (LO) detailed in the below table.
Each outcome is informed by a number of graduate capabilities (GC) to ensure your work in this, and every unit, is part of a larger goal of graduating from ACU with the attributes of insight, empathy, imagination and impact.
Explore the graduate capabilities.
Demonstrate an advanced knowledge of the principle...
Learning Outcome 01
Select and apply these to numerical forms of data
Learning Outcome 02
Identify appropriate data analysis methods for a g...
Learning Outcome 03
Evaluate statistical differences and associations ...
Learning Outcome 04
Content
The content of the unit may include but is not limited to:
- Introduction to basic statistics
Data and measurement scales
Relative frequency
Classification of variables
Graphic display of data
Measures of Central Tendency and Variability
- Introduction to SPSS
- Probability distributions
The Normal Distribution
The Standard Normal Distribution
- Inferential statistics: Estimation and testing
Hypothesis testing
Type I, Type II errors
Power
P value
- Student t test (independent and dependent samples)
- Chi-square test
- Analysis of variance (ANOVA)
- ANOVA with repeated measurements
- Correlation and simple linear regression
Assessment strategy and rationale
A range of assessment procedures will be used to meet the unit learning outcomes and develop graduate attributes consistent with University assessment requirements. The unit assessment provides opportunities for students to explore statistical methodologies and analyses appropriate to their project. Students will learn statistical skills that align with their research project and contribute to their thesis.
Overview of assessments
Assignment 1 This assignment allows students to ...
Assignment 1
This assignment allows students to demonstrate their ability to set up a statistical test, appropriately state the null and alternative hypothesis and use SPSS skills to solve statistical problems.
20%
Assignment 2 This assignment allows students to...
Assignment 2
This assignment allows students to demonstrate their ability to select and apply an appropriate statistical test for various real life situations.
40%
Assignment 3 This assessment task requires stude...
Assignment 3
This assessment task requires students to write the first draft of their quantitative methods chapter.
40%
Learning and teaching strategy and rationale
This unit is offered fully online to provide flexibility and self-pacing options to students. This unit runs in intensive mode over the first six weeks of the teaching semester, allowing students to complete the unit mid-semester and commence work on their research study in a timely way.