Course Title: Advanced Statistical Analysis
Part A: Course Overview
Course Title: Advanced Statistical Analysis
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
MATH1233 |
Bundoora Campus |
Undergraduate |
145H Mathematical & Geospatial Sciences |
Face-to-Face |
Sem 2 2006, Sem 2 2007, Sem 2 2008, Sem 2 2009, Sem 2 2010, Sem 2 2011, Sem 2 2013 |
MATH2214 |
City Campus |
Undergraduate |
145H Mathematical & Geospatial Sciences |
Face-to-Face |
Sem 2 2014, Sem 2 2015, Sem 2 2016 |
MATH2214 |
City Campus |
Undergraduate |
171H School of Science |
Face-to-Face |
Sem 2 2017, Sem 2 2018, Sem 2 2019, Sem 2 2020 |
Course Coordinator: Assoc. Prof. Cliff da Costa
Course Coordinator Phone: +61 3 9925 6114
Course Coordinator Email: cliff.dacosta@rmit.edu.au
Course Coordinator Location: 251.2.67, Bundoora East Campus
Pre-requisite Courses and Assumed Knowledge and Capabilities
Third year psychology students should have obtained at least a credit in all of the following: MATH1275/1276, MATH1277/1278, MATH1279/1280, MATH1281/1282
Non-psychology students must have obtained at least a credit on an equivalent 2nd year level statistics course.
Above requirements need to be fulfilled prior to enrolling in the course.
If in doubt, contact the course coordinator.
Students intending to enrol should be familiar with the use of the statistical package spss or its equivalent
Course Description
This course is geared towards applying advanced multivariate statistical methods to data in the fields of Psychology and the Health Sciences.
It is offered to students in their third year of study in Psychology and the Health Sciences who intend to do an Honours/Masters/PhD on completion of their Undergraduate Program.
Tentative Topics Covered: Repeated measures anova including mixed designs, manova, discriminant analysis, ancova, logistic regression, multilevel modelling, assessing reliability of items in a rating scale, factor analysis, meta-analysis
Objectives/Learning Outcomes/Capability Development
This course is a student option offered to students completing the undergraduate Psychology course (BP154) and other Health Sciences students enrolled in a 3rd Year Program at RMIT. As such it contributes to various Program Learning Outcomes related to the acquisition of knowledge, skills and their application in the field of statistical analysis.
On completion of this course you should be able to:
- Apply a range of multivariate statistical methods to data in psychology and the health sciences
- Use a statistical package such as SPSS to implement these statistical methods
- Interpret the statistical output produced by SPSS in implementing these statistical methods
- Write a report using APA format on the statistical analysis
- Interpret and explain the use of multivariate statistical techniques in the Psychology and Health Sciences literature
Overview of Learning Activities
Learning in this course will be facilitated by interactive discussion during lectures, use of SPSS in computer lab sessions and oral group presentations. Researching the Psychology and Health Sciences literature on the applications of advanced statistical techniques will enhance understanding of these techniques. Data analysis assignments will enable students to self-assess their own learning.
Overview of Learning Resources
Online notes, power point presentations on Canvas
Online Journal articles relevant to topics taught in Lectures
SPSS software.
http://rmit.libguides.com/mathstats
Overview of Assessment
Assessment Tasks:
Early Assessment Task: Revision Exercise
Review Exercise on past topics covered in MATH1279/1280, MATH1281/1282 to be done online in Week 1
Weighting = 10%
(CLOs 1-3)
Assessment Tasks 2 – 6: Data Analysis Reports (x5)
A data analysis report of 5 - 6 pages to be done and submitted every second week of the semester on topics covered in the previous week
Each of the reports will be assessed on all of the Course learning Outcomes listed in this Course Guide
Total weighting = 90% (5x18%)
(CLOs 1 – 5)