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PSYC13015 - Advanced Methods in Psychology

General Information

Unit Synopsis

This unit will give you the analytic skills necessary to carry out advanced applied research. There is both theory and computer 'hands-on' experiential exercises. The primary aim of the unit is to introduce you to a variety of univariate and multivariate analytic techniques (e.g., t-test, ANOVA, ANCOVA, Regression, GLM) as well as developing skills in applying appropriate analyses relevant to a specific research design. It builds on earlier units by introducing more advanced statistical techniques and requires the use of industry standard software packages such as SPSS. Online tutorial sessions allow the chance to practice core SPSS skills.

Details

Level Undergraduate
Unit Level 3
Credit Points 6
Student Contribution Band 2
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites

PSYC12047 and PSYC12048.

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 1 - 2020

Term 2 - 2020 Profile
Adelaide
Bundaberg
Cairns
Online
Rockhampton
Townsville
Term 2 - 2021 Profile
Adelaide
Bundaberg
Cairns
Online
Rockhampton
Townsville

Attendance Requirements

All on-campus students are expected to attend scheduled classes – in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Assessment Overview

Recommended Student Time Commitment

Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Assessment Tasks

Assessment Task Weighting
1. Written Assessment 40%
2. Portfolio 20%
3. Practical Assessment 40%

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University’s Grades and Results Policy for more details of interim results and final grades

Past Exams

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Previous Feedback

No previous feedback available

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Source: Moodle, email, chats after class
Feedback
Textbook too detailed
Recommendation
Main textbook will be reviewed to see if still suitable for theoretical and practical aspects of running SPSS analyses. A supplemental 'step by step' textbook will be recommended to help with practical aspects.
Action Taken
Retained existing textbook, but recommended a supplementary textbook.
Source: Moodle, email, chats after class
Feedback
Lecture content not focused enough
Recommendation
Produce more concise lectures that give students less data analysis options.
Action Taken
More use of pre-recorded 'step by step' lectures. Less data analysis options were given in live Zoom workshops.
Source: Moodle, email, chats after class
Feedback
Major assignment requirements clearer
Recommendation
Produce more detailed and explicit requirements that give students less data analysis options.
Action Taken
Major data analysis assignment had the number of sub-questions reduced and guidelines made more explicit.
Source: Moodle, email
Feedback
Local Tutor support helpful
Recommendation
Have a support Tutor on campuses where PSYC13015 lectures are offered by ISL
Action Taken
Local support Tutor was offered for on-campus students across the ISL locations.
Source: Moodle, email, chats after class
Feedback
Unit Coordinator is enthusiastic about students grasping a difficult subject
Recommendation
Maintain Lecturer enthusiasm and time to interact live, through marking and local Tutor support
Action Taken
Live interaction was maintained through lectures and Zoom. Lecturer maintained enthusiasm, especially in smaller group Zoom workshops.
Source: Staff self-reflection, students via Moodle and email.
Feedback
Two Zoom workshops per week were positively received.
Recommendation
Maintain this level of interaction to negate the need for a residential school.
Action Taken
Nil.
Source: Staff self reflection, students via Moodle and email.
Feedback
Present less analysis options, focus on need to know, versus nice to know.
Recommendation
Clearly signpost what is essential to know and provide step-by-step instructional materials for this. Identify what is nice to know (e.g. for students going on to honours) and provide some advanced extra materials for students wanting more depth.
Action Taken
Nil.
Source: Staff self reflection, students via Moodle and email.
Feedback
Main textbook continues to polarize opinions, with many students really liking it, but others finding the content too detailed.
Recommendation
The main textbook will be retained as many students find it helpful for understanding statistical theory. Moreover, it is used in similar units across Australian universities. A supplemental textbook will be recommended, providing more step-by-step instructions on using SPSS.
Action Taken
Nil.
Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Prepare data sets suitable for analysis in SPSS
  2. Utilise advanced working knowledge of appropriate statistical tests for analyses in SPSS
  3. Write-up the results of advanced analyses in scientific APA style.

The external accrediting body is Australian Psychology Accreditation Council (APAC). The unit fulfills one of the key foundational competencies outlined in the accreditation document for students completing a 3 year psychology degree, i.e. they will acquire a depth of
understanding of underlying principles, theories and concepts in the discipline, using a scientific approach to research methods and statistics. This is a compulsory (level 3) unit required to successfully complete the course. 

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3
1 - Written Assessment
2 - Portfolio
3 - Practical Assessment
Alignment of Graduate Attributes to Learning Outcomes
Introductory Level
Intermediate Level
Graduate Level
Graduate Attributes Learning Outcomes
1 2 3
1 - Communication
2 - Problem Solving
3 - Critical Thinking
4 - Information Literacy
6 - Information Technology Competence
Alignment of Assessment Tasks to Graduate Attributes
Introductory Level
Intermediate Level
Graduate Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 9
1 - Written Assessment
2 - Portfolio
3 - Practical Assessment