CQUniversity Unit Profile
PSYC13015 Advanced Methods in Psychology
Advanced Methods in Psychology
All details in this unit profile for PSYC13015 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

Overview

This unit provides students with analytic skills necessary for carrying out advanced applied research. The unit provides for both theoretical input and a component of computer 'hands-on' experiential exercises. It is a requirement of this enrolment that students have access to the CQU website via the Internet. The primary aim of the unit is to introduce students to a variety of univariate and multivariate analytic techniques (e.g., t-test, ANOVA, GLM) as well as a choice of appropriate analyses relevant to the specific design. A practical workshop will be provided in the unit to assist in development of core skills.

Details

Career Level: Undergraduate
Unit Level: Level 3
Credit Points: 6
Student Contribution Band: 7
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).

Offerings For Term 2 - 2017

Bundaberg
Distance
Rockhampton

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).

Class and 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.

Class Timetable

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

1. Practical Assessment
Weighting: 20%
2. Portfolio
Weighting: 20%
3. Practical and Written Assessment
Weighting: 30%
4. Examination
Weighting: 30%

Assessment Grading

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.

Previous Student Feedback

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.

Feedback from post-residential school survey, course evaluation

Feedback

Lack of on campus support for on campus students - especially in Rockhampton and Bundeburg

Recommendation

Consider a second residential school in Rockhampton or an on campus tutor in Bundeburg and Rockhampton to run the collaborates

Feedback from Student feedback

Feedback

The textbook is overwhelming

Recommendation

Consider options for changing or supplementing the currently subscribed textbook.

Feedback from Student feedback, post-residential school survey

Feedback

The residential school should have more face to face time

Recommendation

Increase face-to-face time either by having a supporting teacher and running concurrent sessions, or running the residential school over 3 days instead of 2

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Prepare data sets suitable for analysis in SPSS.
  2. Choose and demonstrate working knowledge of appropriate statistical tools for analyses.
  3. Analyse data using SPSS.
  4. Write-up the results of an analysis in clear and concise APA style.
Alignment of Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

Alignment of Assessment Tasks to Learning Outcomes

Assessment Tasks Learning Outcomes
1 2 3 4
1 - Practical Assessment - 20%
2 - Portfolio - 20%
3 - Practical and Written Assessment - 30%
4 - Examination - 30%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4
1 - Communication
2 - Problem Solving
3 - Critical Thinking
4 - Information Literacy
5 - Team Work
6 - Information Technology Competence
7 - Cross Cultural Competence
8 - Ethical practice
9 - Social Innovation

Alignment of Assessment Tasks to Graduate Attributes

Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 9
1 - Practical Assessment - 20%
2 - Portfolio - 20%
3 - Practical and Written Assessment - 30%
4 - Examination - 30%
Textbooks and Resources

Textbooks

Prescribed

Discovering Statistics using IBM SPSS Statistics 4th Edition (2013)

Authors: Andy Field
Sage
London London , UK
ISBN:
Binding: Paperback
Prescribed

SPSS Statistics software (2013)

Authors: IBM
IBM
USA
ISBN:
Binding: Hardcover

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • IBM SPSS Statistics Graduate Pack edition. Preferably the latest version 24
Referencing Style

All submissions for this unit must use the referencing style: American Psychological Association 6th Edition (APA 6th edition)

For further information, see the Assessment Tasks.

Teaching Contacts
Darren Walker Unit Coordinator
d.j.walker@cqu.edu.au
Schedule
Week 1 Begin Date: 10 Jul 2017

Module/Topic

Introduction to Statistics

Chapter

Field Ch 1-5

Events and Submissions/Topic

Week 2 Begin Date: 17 Jul 2017

Module/Topic

T-tests

Chapter

Field Ch 9

Events and Submissions/Topic

Week 3 Begin Date: 24 Jul 2017

Module/Topic

One-way ANOVA

Chapter

Field Ch 11

Events and Submissions/Topic

Week 4 Begin Date: 31 Jul 2017

Module/Topic

Factorial ANOVA (Introduction)

Chapter

Field Ch 13

Events and Submissions/Topic

Week 5 Begin Date: 07 Aug 2017

Module/Topic

Further ANOVA (Mixed designs)

Chapter

Field Ch 15

Events and Submissions/Topic

Vacation Week Begin Date: 14 Aug 2017

Module/Topic

Chapter

Events and Submissions/Topic

Week 6 Begin Date: 21 Aug 2017

Module/Topic

Recap and Refresh

Chapter

Events and Submissions/Topic

Week 7 Begin Date: 28 Aug 2017

Module/Topic

Correlation and regression

Chapter

Field Ch 7 & 8

Events and Submissions/Topic

Practical Assessment Due: Week 7 Friday (1 Sept 2017) 5:30 am AEST
Week 8 Begin Date: 04 Sep 2017

Module/Topic

ANCOVA

Chapter

Field Ch 12

Events and Submissions/Topic

Week 9 Begin Date: 11 Sep 2017

Module/Topic

Non-parametric tests

Chapter

Field Ch 6

Events and Submissions/Topic

Week 10 Begin Date: 18 Sep 2017

Module/Topic

Categorical data

Chapter

Field Ch 18

Events and Submissions/Topic

Week 11 Begin Date: 25 Sep 2017

Module/Topic

Recap and refresh

Chapter

Events and Submissions/Topic

Practical and Written Assessment Due: Week 11 Friday (29 Sept 2017) 5:30 pm AEST
Week 12 Begin Date: 02 Oct 2017

Module/Topic

Exam preparation

Chapter

Events and Submissions/Topic

Portfolio Due: Week 12 Friday (6 Oct 2017) 5:30 am AEST
Review/Exam Week Begin Date: 09 Oct 2017

Module/Topic

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 16 Oct 2017

Module/Topic

Chapter

Events and Submissions/Topic

Term Specific Information

Note:

1) A valid license (for the entire term) of IBM SPSS is required to complete this unit, unless you intend gaining access on a physical campus. The software may be purchased from the bookshop or online from the Australian distributor - Hearne Software (http://www.hearne.software). If you currently have a license of SPSS, please check when the license will expire and renew if necessary. Version 24 is the latest (you should obtain the 'Graduate Pack' edition, the cheaper 'Base' edition is not suitable) and this software is also used in higher level honours data analysis courses.

2) There is no 'optional' residential school for this Unit in 2017. There will be wide usage of Zoom tutorials and video based demonstrations to teach SPSS and associated statistical techniques.

Assessment Tasks

1 Practical Assessment

Assessment Title
Practical Assessment

Task Description

The assignment will be provided in week 4. You will be asked to answer a series of short answer questions. You will need to enter data into SPSS, run statistical tests and analyse the data in order to find the answers for these questions.


Assessment Due Date

Week 7 Friday (1 Sept 2017) 5:30 am AEST


Return Date to Students

Week 9 Friday (15 Sept 2017)


Weighting
20%

Assessment Criteria

Each of the short answer questions will be worth a proportion of the total marks for this assessment. The amount each question is worth will be explicitly stated on the assessment.


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • Prepare data sets suitable for analysis in SPSS.
  • Choose and demonstrate working knowledge of appropriate statistical tools for analyses.
  • Analyse data using SPSS.
  • Write-up the results of an analysis in clear and concise APA style.


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Information Technology Competence

2 Portfolio

Assessment Title
Portfolio

Task Description

You will be given data sets for each statistical test covered in the unit. You will be required to enter the data into SPSS, analyse these data and write up their analysis in brief APA style. There will be ten data sets. You will be required to submit five (5) with each worth 4% of your total grade. You can submit these throughout the unit and receive feedback (please allow two weeks for feedback on each submission) or you can do them all at once. All five need to be submitted by the end of week 12.


Assessment Due Date

Week 12 Friday (6 Oct 2017) 5:30 am AEST


Return Date to Students

Exam Week Friday (20 Oct 2017)


Weighting
20%

Assessment Criteria

Each piece will be worth 4% of your total grade (4% x 5 = 20%). Students will be awarded 2 marks (2/4) for conducting the analysis correctly (entering the data into SPSS and performing the analysis) and 2 marks (2/4) for correct APA write up.


Referencing Style

Submission
Online

Submission Instructions
You can submit the portfolio throughout the unit or as one assessment item in week 12.

Learning Outcomes Assessed
  • Prepare data sets suitable for analysis in SPSS.
  • Choose and demonstrate working knowledge of appropriate statistical tools for analyses.
  • Analyse data using SPSS.
  • Write-up the results of an analysis in clear and concise APA style.


Graduate Attributes
  • Communication
  • Information Technology Competence

3 Practical and Written Assessment

Assessment Title
Practical and Written Assessment

Task Description

A synopsis of a research problem with accompanying data set(s) will be provided in week 7. You are to select the appropriate procedures from the material taught in the unit, and analyze the data using SPSS. You will write up a report on the results, using graphs and tables as required. You will also interpret and discuss the results in light of the research problem provided. The submission will be in the form of an abbreviated APA-style report, with a 'Results' and 'Discussion' section.


Assessment Due Date

Week 11 Friday (29 Sept 2017) 5:30 pm AEST


Return Date to Students

Review/Exam Week Friday (13 Oct 2017)


Weighting
30%

Assessment Criteria

  • Appropriate selection and application of the relevant statistical procedures and techniques, including any required screening and/or data pre-processing. (20%)
  • Appropriate presentation and interpretation of the results, including the use of well-formatted graphs and tables as appropriate (40%)
  • Appropriate critical discussion and explanation of the results in light of the research question(s), including an acknowledgement (if required) of any strengths and weaknesses of the analysis(40%)


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • Prepare data sets suitable for analysis in SPSS.
  • Choose and demonstrate working knowledge of appropriate statistical tools for analyses.
  • Analyse data using SPSS.
  • Write-up the results of an analysis in clear and concise APA style.


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Information Technology Competence

Examination

Outline
Complete an invigilated examination

Date
During the examination period, at a CQUniversity examination centre

Weighting
30%

Length
180 minutes

Details
Calculator - non-programmable, no text retrieval, silent only
Dictionary - non-electronic, concise, direct translation only (dictionary must not contain any notes or comments).
Closed Book
Academic Integrity Statement

As a CQUniversity student you are expected to act honestly in all aspects of your academic work.

Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.

When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.

Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.

As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.

What is a breach of academic integrity?

A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.

Why is academic integrity important?

A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.

Where can I get assistance?

For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.

What can you do to act with integrity?