Course Title: Research Methods and Statistics

Part A: Course Overview

Course Title: Research Methods and Statistics

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH1192

Bundoora Campus

Postgraduate

150H Health Sciences

Face-to-Face

Sem 1 2006,
Sem 1 2007,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011

MATH1193

Bundoora Campus

Undergraduate

150H Health Sciences

Face-to-Face

Sem 1 2006,
Sem 1 2007,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016

Course Coordinator: Dr Russel Conduit

Course Coordinator Phone: +61 3 99256658

Course Coordinator Email: russell.conduit@rmit.edu.au

Course Coordinator Location: 201.03.07


Pre-requisite Courses and Assumed Knowledge and Capabilities

This course is an Honours/4th year level course in quantitative research design and data analysis with a focus on the use of the SPSS data analysis package. It will be assumed that students enrolling in this course will (a) have completed a three-year undergraduate program in applied science, (b) have been exposed to quantitative research design and data analysis in their undergraduate program, and (c) have some familiarity with the SPSS data analysis package.


Course Description

This is an Honours-level course in quantitative research design and analysis. The aim of this course is to provide students with practical skills and theoretical material related to conducting research in applied human science. Students are exposed to a number of research designs, such as experimental, quasi-experimental, non-experimental (i.e., correlational), and so on. They are also presented with a range of analytic techniques for dealing with the data generated from their research. Emphasis is placed on the integration of research design with analysis. To reflect the nature of the research in applied human science at RMIT, there is a more in-depth consideration of the analysis of data obtained from field and clinical research than from laboratory-based experimental data. Students are taught how to carry out the statistical analyses discussed in class using SPSS for Windows.


Objectives/Learning Outcomes/Capability Development

This course contributes to Program Learning Outcomes for a number of Honours level programs in the Health Sciences discipline.


On completion of this course, students should be able to:

1. Critically review the major methodological and design issues related to carrying out research in quantitative applied human science.

2. Describe the conceptual and practical features of several major techniques for analysing data obtained from quantitative applied human research.

3. Enter, analyse, and describe data using SPSS.


Overview of Learning Activities

The unit provides a synthesis of didactic and experiential learning. The theoretical material underlying research design and analysis will be learnt using traditional lecture/seminar teacher-presented material, supplemented by guided reading. Learning will be reinforced and supplemented through practical data analysis exercises.

 

Teacher Guided Hours: 52 per semester

Learner Directed Hours: 68 per semester


Overview of Learning Resources

Supplementary material is provided via myRMIT Studies. All lectures will be recorded using Lectopia. Students will be expected to access a range of text and web-based materials.

A Library Subject Guide is available at http://rmit.libguides.com/psychology


Overview of Assessment

This course has no hurdle requirements.

 

Assessment Tasks

 

Early Assessment Task:  10 x Online Weekly Tests

Weighting 20%

This assessment task supports CLOs 1

Assessment Task 2:  Research Methods Assignment

Weighting 30%

This assessment task supports CLOs 1-3

Assessment Task 3: Exam

Weighting 50%

This assessment task supports CLO 1