Course Outline

PSY300 Advanced Methods in Psychology

Course Coordinator:Daniel Fassnacht ( School:School of Health - Psychology

2024Semester 1

UniSC Sunshine Coast

UniSC Moreton Bay

Blended learning Most of your course is on campus but you may be able to do some components of this course online.

Please go to for up to date information on the
teaching sessions and campuses where this course is usually offered.

What is this course about?


This course acquaints you with a range of advanced statistical techniques used in psychological research, including analysis of variance and covariance, correlation, and simple and hierarchical regression. You will be required to formulate null and alternative hypotheses, identify and describe appropriate statistical techniques and correctly interpret statistical results, including identifying violation of appropriate assumptions and understanding choices for alternative statistical tests or data manipulation strategies. Statistical computing using the SPSS statistical package is an essential part of the course.

How will this course be delivered?

Activity Hours Beginning Week Frequency
Blended learning
Learning materials – 1 hour online learning materials 1hr Week 1 13 times
Tutorial/Workshop 1 – 2 hour on campus computer workshop 2hrs Week 1 13 times

Course Topics

  1. Methods: Research ethics; Stats content: 2-way ANOVA
  2. Methods: Assumption testing; Stats content: 2-way ANCOVA
  3. Methods: Scales and reliability analysis; Stats content: 2-way repeated measures ANOVA
  4. Methods: NHST approach; Stats content: Standard multiple regression
  5. Methods: Bayesian approach; Stats content: ANOVA and regression
  6. Methods: Qualitative methods; Stats content: Textual analysis
  7. Methods: Power, effect size and sample size; Stats content: Odds ratio
  8. Methods: Type I error, Type II error and family-wise error, Stats content: Likelihood ratio
  9. Methods: Pre-registered studies using Bayses analyses; Stats content: Syntaxt
  10. Methods: Types of research (Clinical: OR, Sn/Sp, LR)
  11. Methods: Types of research (Observational, correlational, experimental)
  12. Methods: Research hypothesis


Summary of Course Competensies:


Design and methodology

  1. NHST testing approaches:

a. Comparing samples (experimental, quasi-experimental, group differences)

b. Relationships between variables (experimental, non-experimental)

c. Interpretative factors – power, effect size, confidence intervals, sampling, type I and II errors

  1. Non-NHST testing approaches – introductory level

  2. Qualitative approaches – introductory level


Analytical techniques (highest level of complexity reached)

  1. ANOVA

a. 2 way (within, between, interactions and mixed)

b. Covariate (ANCOVA)

c. Repeated measures

  1. Multiple regression 

a. Standard, hierarchical, stepwise, forward and backward

  1. Non-NHST approaches 

a. Odds ratio

b. likelihood ratio

  1. Qualitative – thematic analysis
  1. Non-parametric analyses

a. Chi square

  1. Effect size calculation and understanding relationship between power and sample size

What level is this course?

300 Level (Graduate)

Demonstrating coherence and breadth or depth of knowledge and skills. Independent application of knowledge and skills in unfamiliar contexts. Meeting professional requirements and AQF descriptors for the degree. May require pre-requisites where discipline specific introductory or developing knowledge or skills is necessary. Normally undertaken in the third or fourth full-time study year of an undergraduate program.

What is the unit value of this course?

12 units

How does this course contribute to my learning?

Course Learning Outcomes On successful completion of this course, you should be able to... Graduate Qualities Completing these tasks successfully will contribute to you becoming...
1 Demonstrate knowledge of a range of statistical techniques used in psychological research. Knowledgeable
2 Demonstrate knowledge and competence of SPSS. Knowledgeable
3 Select and apply statistical techniques appropriate for the analysis of specific psychological data. Creative and critical thinker
4 Justify the selection and use of appropriate statistical techniques. Knowledgeable
5 Write and present research findings in a scientific fashion. Empowered

Am I eligible to enrol in this course?

Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.


PSY200 and PSY201 OR PSY207


Not applicable


Not applicable

Specific assumed prior knowledge and skills (where applicable)

Not applicable

How am I going to be assessed?

Grading Scale

Standard Grading (GRD)

High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL).

Details of early feedback on progress

Practice quizzes, with access to answers, will be provided online in Canvas, aligned appropriately with the content material to be assessed in the first Task assessment in Week 5, in earlier weeks.

Assessment tasks

Delivery mode Task No. Assessment Product Individual or Group Weighting % What is the duration / length? When should I submit? Where should I submit it?
All 1 Quiz/zes Individual 20%
50 minutes
Week 5 Online Test (Quiz)
All 2 Practical / Laboratory Skills, and Written Piece Individual 30%
Data analysis and short answer questions (provide the correct statistical result), interpretation through correct response choice.
Week 11 Online Submission
All 3 Examination - Centrally Scheduled Individual 50%
2 hours
Exam Period Exam Venue
All - Assessment Task 1:Class test
Demonstrate an understanding of hypothesis testing, statistical techniques and interpretation of statistical results. You will be required to formulate null and alternative hypotheses, identify and describe appropriate statistical techniques and correctly interpret statistical results, including identification of violations of appropriate statistical assumptions
Product: Quiz/zes
The multiple choice test will be open in week 5 through Canvas, Assessments. Once begun, the test will have a limit of 50 minutes for completion. The test will comprise 20 multiple choice questions relating to the coursework presented during weeks 1 to 5.
No. Learning Outcome assessed
Correct formulation of null and alternative hypotheses.
1 4
Identification of appropriate statistical techniques.
Correct interpretation of statistical results.
All - Assessment Task 2:Data Analysis Assignment
Demonstrate the ability to conduct data analysis using SPSS and interpret the findings
Product: Practical / Laboratory Skills, and Written Piece
You will be provided with a data set and instructions via Canvas and required to answer structured questions worth a total of 30 percent of the total marks for the course. Each of the questions/sub-questions will require you to analyse data, provide answers in correct APA format and to interpret the results appropriately. The Assignment instructions and data set will be provided in Week 8.
No. Learning Outcome assessed
Selection of the correct statistical analyses.
Correct application of analyses chosen.
2 3
Correct interpretation of the results of the analyses.
4 5
All - Assessment Task 3:Final examination
Demonstrate the ability to select appropriate statistical techniques to data types; demonstrate the ability to interpret statistical output provided. The exam will require the selection of appropriate statistical techniques for analysing different types of data, and the interpretation of statistical output. The examination will cover material drawn from all lectures and computer workshops.
Product: Examination - Centrally Scheduled
You will sit a two-hour examination during the end of semester examination period.
No. Learning Outcome assessed
Selection of the correct statistical analyses.
1 4
Correct interpretation of the results of the analyses.
3 4

Directed study hours

A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.

What resources do I need to undertake this course?

Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.

Prescribed text(s) or course reader

There are no required/recommended resources for this course.

Specific requirements

Access to UniSC laboratories to use SPSS or access to a stable internet connection to use the online laboratory to access SPSS from outside UniSC

How are risks managed in this course?

Health and safety risks for this course have been assessed as low. It is your responsibility to review course material, search online, discuss with lecturers and peers and understand the health and safety risks associated with your specific course of study and to familiarise yourself with the University’s general health and safety principles by reviewing the online induction training for students, and following the instructions of the University staff.

What administrative information is relevant to this course?

Assessment: Academic Integrity

Academic integrity is the ethical standard of university participation.  It ensures that students graduate as a result of proving they are competent in their discipline.  This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.

Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person.  You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.

In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin.  This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.

Assessment: Additional Requirements

Your eligibility for supplementary assessment in a course is dependent of the following conditions applying:

The final mark is in the percentage range 47% to 49.4%
The course is graded using the Standard Grading scale
You have not failed an assessment task in the course due to academic misconduct.

Assessment: Submission penalties

Late submission of assessment tasks may be penalised at the following maximum rate: 
- 5% (of the assessment task's identified value) per day for the first two days from the date identified as the due date for the assessment task. 
- 10% (of the assessment task's identified value) for the third day - 20% (of the assessment task's identified value) for the fourth day and subsequent days up to and including seven days from the date identified as the due date for the assessment task. 
- A result of zero is awarded for an assessment task submitted after seven days from the date identified as the due date for the assessment task. Weekdays and weekends are included in the calculation of days late. To request an extension you must contact your course coordinator to negotiate an outcome.


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Study help

For help with course-specific advice, for example what information to include in your assessment, you should first contact your tutor, then your course coordinator, if needed.

If you require additional assistance, the Learning Advisers are trained professionals who are ready to help you develop a wide range of academic skills. Visit the Learning Advisers web page for more information, or contact Student Central for further assistance: +61 7 5430 2890 or

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Links to relevant University policy and procedures

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  • Assessment: Courses and Coursework Programs
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  • Supplementary Assessment
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General Enquiries

  • In person:
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    • UniSC Moreton Bay - Service Centre, Ground Floor, Foundation Building, Gympie Road, Petrie
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