Availabilities:
| Location | Domestic | International |
|---|---|---|
| Coffs Harbour | Session 1 | Session 1 |
| Online | Session 1 | N/A |
Unit aim
Equips students with a range of advanced methodological and data-analysis techniques likely to be utilised in psychological research at honours level. Introduces students to the conceptual basis and practical use of the General Linear Model. Students will learn to use the SPSS computer program for the analysis of complex data using ANOVA, multiple regression, factor analysis and other routines. The treatment of potential threats to interpretation (outlying data points, failures to meet relevant assumptions) will be stressed.
Unit content
Topic 1 :Overview of basic statistical concepts, especially variance and parametric statistics
Topic 2: Introduction to the Analysis of Variance:
- How variance may be partitioned into between subjects and within subjects variance and
- The basic model
Topic 3: Assumptions of the analysis of variance
Topic 4: Performing multiple comparisons to follow up an ANOVA
Topic 5: Effect size and statistical power
Topic 6: Introduction to Factorial ANOVA
Topic 7: Following up a significant factorial ANOVA
Topic 8: Repeated measures ANOVA
Topic 9: Factorial designs involving repeated measures
Topic 10: Linear regression and introduction to multivariate statistics
Topic 11: Multiple regression
Topic 12: Factor analysis
Learning outcomes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
Learning outcomes and graduate attributes
| On completion of this unit, students should be able to: | GA1 | GA2 | GA3 | GA4 | GA5 | GA6 | GA7 | |
|---|---|---|---|---|---|---|---|---|
| 1 | demonstrate an understanding of variance and how it is partitioned during analysis of variance | Knowledge of a discipline | ||||||
| 2 | demonstrate an understanding of research methodology and appropriate methods of data analysis | Intellectual rigour | Knowledge of a discipline | |||||
| 3 | demonstrate an awareness of problems with data interpretation, and know how to detect outliers and lack of conformity with statistical assumptions | Intellectual rigour | Knowledge of a discipline | |||||
| 4 | demonstrate an understanding of the difference between statistical significance and practical significance (treatment effect) | Knowledge of a discipline | ||||||
| 5 | use SPSS to perform statistical analyses | Knowledge of a discipline | ||||||
| 6 | report the outcome of statistical analyses in the format required by the American Psychological Association. | Knowledge of a discipline | Communication and social skills | |||||
Prescribed texts
Session 1
- Field, A, 2013, Discovering Statistics using IBM SPSS Statistics, 4th edn, Sage Publications, London. ISBN: 978-4462-4918-5.
Teaching and assessment
Coffs Harbour
| Teaching method |
| Lecture on-site 2 hour (12 weeks) |
| Laboratory session 2 hours (11 weeks) |
| Assessment | |
| Short written response | 20% |
| Essay | 30% |
| Exam: closed book | 50% |
Online
| Teaching method |
| Lecture online 2 hour (12 weeks) |
| Workshop online 2 hours (11 weeks) |
| Assessment | |
| Short written response | 20% |
| Essay | 30% |
| Exam: closed book | 50% |
Fee information
Domestic
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Commencing 2019 Commonwealth Supported only. Student contribution band: 2
Fee paying courses
For POSTGRADUATE or UNDERGRADUATE full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees
International
Please check the international course and fee list to determine the relevant fees.