SCIE402 - Quantitative Data Management in Health Sciences Research

Year

2023

Credit points

Campus offering

No unit offerings are currently available for this unit

Prerequisites

Nil

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.

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.

On successful completion of this unit, students should be able to:

LO1 - Demonstrate an advanced knowledge of the principles and basic concepts of data management from collection to analysis (GA8, GA9)

LO2 - Select and apply these to numerical forms of data (GA4, GA10)

LO3 - Identify appropriate data analysis methods for a given research design (GA4)

LO4 - Evaluate statistical differences and associations with numerical data (GA4, GA10)

Graduate attributes

GA4 - think critically and reflectively

GA8 - locate, organise, analyse, synthesise and evaluate information

GA9 - demonstrate effective communication in oral and written English language and visual media

GA10 - utilise information and communication and other relevant technologies effectively.

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

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.

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

Brief Description of Kind and Purpose of Assessment Tasks	Weighting	Learning Outcomes	Graduate Attributes
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%	LO1, LO2, LO3,	GA4, GA8, GA9, GA10
Assignment 2 This assignment allows students to demonstrate their ability to select and apply an appropriate statistical test for various real life situations.	40%	LO1, LO2, LO3, LO4	GA4, GA8, GA9, GA10
Assignment 3 This assessment task requires students to write the first draft of their quantitative methods chapter.	40%	LO1, LO3,	GA4, GA8, , GA9

Brief Description of Kind and Purpose of Assessment Tasks

Weighting

Learning Outcomes

Graduate Attributes

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%

LO1, LO2, LO3,

GA4, GA8, GA9, GA10

Assignment 2

This assignment allows students to demonstrate their ability to select and apply an appropriate statistical test for various real life situations.

40%

LO1, LO2, LO3, LO4

GA4, GA8, GA9, GA10

Assignment 3

This assessment task requires students to write the first draft of their quantitative methods chapter.

40%

LO1, LO3,

GA4, GA8, , GA9

Representative texts and references

Barton, B. & Peat, J. (2014). Medical Statistics: A Guide to SPSS, Data Analysis and Critical Appraisal. (2nd ed.) Melbourne: Blackwell Publishing

Baumgartner, T.A. & Hensley, L.D. (2013). Conducting & Reading Research in Kinesiology (5th ed.). New York: McGraw-Hill.

Coakes, S. & Steed, L. (2013). SPSS Analysis without anguish. Version 20.0. for Windows Brisbane: John Wiley & Sons.

Hirsch, R.P. & Riegelman, R.K. (1992). Statistical First Aid: Interpretation of Health Research Data. Boston, Mass: Blackwell Scientific Publications

Portney, L. G. & Watkins, M. P. (2015). Foundations of clinical research: applications to practice (3rd ed). Upper Saddle River, New Jersey: Prentice Hall Health.

Tabachnick, B. G. & Fidell, L. S. (2001). Using Multivariate Statistics (4th edition). Boston: Allyn and Bacon.

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