- Code PSYC3018
- Unit Value 6 units
- Offered by Research School of Psychology
- ANU College ANU Joint Colleges of Science
- Course subject Psychology
- Areas of interest Psychology
- Academic career UGRD
- Dr Yiyun Shou
- Seamus Donnelly
- Mode of delivery In Person
Second Semester 2018
See Future Offerings
A consolidation and extension of the methods and analysis techniques introduced in PSYC2009. Topics include the measurement of psychological constructs, experiments and survey designs; analysis of variance for one- and two-way between- and within-subjects designs, planned and post-hoc contrasts, integration of ANOVA and regression as an introduction to the general linear model, searching and analysing the psychological literature, using SPSS ANOVA and Regression models to analyse data, reporting analyses. Examples are extrapolated from published studies in the psychological literature. The course will be taught at a level appropriate for intending honours students.
This is an Honours Pathway Course.
Upon successful completion, students will have the knowledge and skills to:
Training of psychologists in Australia and internationally is structured around a number of generic skills that are referred to as Graduate Attributes. PSYC3018 is structured in such a way that it provides the opportunity for students to develop these skills. In addition, it will provide students with generalised and transferable skills that will also be useful in careers outside psychology. More particularly, the following graduate attributes and student learning outcomes will be developed through lectures, practicals and assessment activities in particular:
1. Knowledge and Understanding of the application of statistics within
2. Critical Thinking Skills in Psychological research 3. Knowledge and Understanding of research methods within Psychology 4. Communication Skills in statistics and research methods in
1. Knowledge and Understanding of the application of statistics within Psychology
2. Critical Thinking Skills in Psychological research
3. Knowledge and Understanding of research methods within Psychology
4. Communication Skills in statistics and research methods in Psychology
Other InformationThis is an Honours Pathway Course.
Indicative AssessmentAssessment consists of a Midterm exam (35%) a Final Exam (45%) and Lab Exercises (20%)
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
WorkloadTwo hours of lectures, a one hour workshop and 20 hours of laboratories spread across the semester.
Requisite and Incompatibility
Prescribed TextsStatistical Methods for Psychology 8th Edition Professor David C Howell ISBN-13:9780495597841 ISBN-10:0495597848 - Available at the ANU Bookshop.
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7414||23 Jul 2018||30 Jul 2018||31 Aug 2018||26 Oct 2018||In Person||N/A|