Advanced Quantitative Methods
Duration
- 1 Semester
Contact hours
- 36 hours
On-campus unit delivery combines face-to-face and digital learning.
Prerequisites
Admission into BH-PSY1 Bachelor of Psychology (Honours) Graduate Entry
OR
300 Credit Points in BH-PSY Bachelor of Psychology (Honours) Standard Entry
OR
Admission into BH-PSYSC Bachelor of Psychological Sciences (Honours)
Corequisites
NilAims and objectives
Students who successfully complete this unit will be able to:
1. Perform multivariate data analyses using SPSS and AMOS and accurately evaluate statistic outputs
2. Identify and select appropriate multivariate data analyses to assess specific hypotheses and/or research questions
3. Appraise and convey statistical results that conform to the standards of the American Psychological Association
4. Demonstrate the ability to design research studies by appraising the strengths, weaknesses, and assumptions of relevant multivariate data analysis techniques
Unit information in detail
- Teaching methods, assessment, general skills outcomes and content.
Teaching methods
This unit involves up to 150 hours of work including:
Type (On-campus) | Hours per week | Number of Weeks | Total |
Live Online Lecture |
1 |
12 |
12 |
Online Contact | 2 | 12 | 24 |
Specified Activities Various |
2 |
12 |
24 |
Unspecified Activities Various | 7.5 | 12 |
90 |
TOTAL |
|
| 150 hours |
Assessment
Types | Individual or Group task | Weighting | Assesses attainment of these ULOs |
Examination | Individual | 50% | 1, 2 |
Reflective Journal | Individual | 20% | 1, 2, 3 |
Assignment | Individual | 30% | 1, 2, 3, 4 |
General skills outcomes
Communication skills
Analysis skills
Ability to work independently
Ability to tackle unfamiliar problems
Problem solving skills
Content
- Overview of data analysis, screening and missing values
- Basic and advanced forms of multiple regression analyses
- Basic and advanced forms of Analysis of Variance (ANOVA)
- Exploratory and Confirmatory Factor Analyses
- Path Analysis and Structural Equation Modelling (SEM)
- Meta-analysis
- Graduate Attribute 2 (Communication 2 - Communicating using different media)
- Graduate Attribute 5 (Digital Literacies 1 - Information literacy)
- Graduate Attribute 6 (Digital Literacies 2 - Technical literacy)
Study resources
- Reading materials.