• Offered by Research School of Psychology
  • ANU College ANU Joint Colleges of Science
  • Course subject Psychology
  • Areas of interest Psychology
  • Academic career UGRD
  • Course convener
    • Dr Yiyun Shou
  • Mode of delivery In Person
  • Offered in First Semester 2020
    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.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  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

Indicative Assessment

  1. Mid Semester Exam (35) [LO 1,2,3,4]
  2. End of Semester exam (45) [LO 1,2,3]
  3. Lab Exercises (20) [LO 1,2,3]

In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle. 

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.

Workload

The expected workload will consist of approximately 130 hours throughout the semester including:

  • Face-to face component which will consist of 1 x 2 hour lecture per week plus 16 hours of labs spread across the semester.
  • Approximately 90 hours of self-study which will include preparation for lectures, laboratory classes and other assessment tasks.

Inherent Requirements

To be determined

Requisite and Incompatibility

To enrol in this course you must have successfully completed PSYC2009

Prescribed Texts

Statistical Methods for Psychology 8th Edition Professor David C Howell ISBN-13:9780495597841 ISBN-10:0495597848.

Majors

Specialisations

Fees

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:
1
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.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2020 $4050
International fee paying students
Year Fee
2020 $5760
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4101 24 Feb 2020 02 Mar 2020 08 May 2020 05 Jun 2020 In Person View

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