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
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
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).
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
Assessment Overview
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.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure – Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure – International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback – Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
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
Lack of on campus support for on campus students - especially in Rockhampton and Bundeburg
Consider a second residential school in Rockhampton or an on campus tutor in Bundeburg and Rockhampton to run the collaborates
Feedback from Student feedback
The textbook is overwhelming
Consider options for changing or supplementing the currently subscribed textbook.
Feedback from Student feedback, post-residential school survey
The residential school should have more face to face time
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
- 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.
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 | ||||
| 10 - Aboriginal and Torres Strait Islander Cultures | ||||
Alignment of Assessment Tasks to Graduate Attributes
| Assessment Tasks | Graduate Attributes | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
| 1 - Practical Assessment - 20% | ||||||||||
| 2 - Portfolio - 20% | ||||||||||
| 3 - Practical and Written Assessment - 30% | ||||||||||
| 4 - Examination - 30% | ||||||||||
Textbooks
Discovering Statistics using IBM SPSS Statistics
4th Edition (2013)
Authors: Andy Field
Sage
London London , UK
Binding: Paperback
SPSS Statistics software
(2013)
Authors: IBM
IBM
USA
Binding: Hardcover
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- IBM SPSS Statistics Graduate Pack edition. Preferably the latest version 24
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.
d.j.walker@cqu.edu.au
Module/Topic
Introduction to Statistics
Chapter
Field Ch 1-5
Events and Submissions/Topic
Module/Topic
T-tests
Chapter
Field Ch 9
Events and Submissions/Topic
Module/Topic
One-way ANOVA
Chapter
Field Ch 11
Events and Submissions/Topic
Module/Topic
Factorial ANOVA (Introduction)
Chapter
Field Ch 13
Events and Submissions/Topic
Module/Topic
Further ANOVA (Mixed designs)
Chapter
Field Ch 15
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Recap and Refresh
Chapter
Events and Submissions/Topic
Module/Topic
Correlation and regression
Chapter
Field Ch 7 & 8
Events and Submissions/Topic
Module/Topic
ANCOVA
Chapter
Field Ch 12
Events and Submissions/Topic
Module/Topic
Non-parametric tests
Chapter
Field Ch 6
Events and Submissions/Topic
Module/Topic
Categorical data
Chapter
Field Ch 18
Events and Submissions/Topic
Module/Topic
Recap and refresh
Chapter
Events and Submissions/Topic
Module/Topic
Exam preparation
Chapter
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
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.
1 Practical Assessment
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.
Week 7 Friday (1 Sept 2017) 5:30 am AEST
Week 9 Friday (15 Sept 2017)
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.
- 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.
- Communication
- Problem Solving
- Critical Thinking
- Information Technology Competence
2 Portfolio
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.
Week 12 Friday (6 Oct 2017) 5:30 am AEST
Exam Week Friday (20 Oct 2017)
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.
- 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.
- Communication
- Information Technology Competence
3 Practical and Written Assessment
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.
Week 11 Friday (29 Sept 2017) 5:30 pm AEST
Review/Exam Week Friday (13 Oct 2017)
- 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%)
- 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.
- Communication
- Problem Solving
- Critical Thinking
- Information Technology Competence
Examination
Dictionary - non-electronic, concise, direct translation only (dictionary must not contain any notes or comments).
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?
