CQUniversity Unit Profile
PSYC14047 Advanced Data Analysis
Advanced Data Analysis
All details in this unit profile for PSYC14047 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

In this unit you will develop the analytical skills that are necessary for understanding and carrying out quantitative psychological research. You will examine theoretical information as well as develop in-depth practical knowledge and skills in using a computer-based statistical package through hands-on exercises.

Details

Career Level: Undergraduate
Unit Level: Level 4
Credit Points: 6
Student Contribution Band: 10
Fraction of Full-Time Student Load: 0.125

Pre-requisites or Co-requisites

Students must be enrolled in CC42 Bachelor of Psychological Science (Honours)

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 1 - 2021

Online

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. Online Quiz(zes)
Weighting: 20%
2. Practical Assessment
Weighting: 60%
3. Online Test
Weighting: 20%

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 Email, Moodle, Zoom sessions

Feedback

Assessment quizzes contain errors

Recommendation

Assessment quizzes will be continually reviewed and adjusted based on feedback.

Feedback from Student evaluations, forums

Feedback

SPSS demos could be rerecorded, as screenshots are out of date

Recommendation

SPSS demos will be rerecorded by the Unit Coordinator before Term 1 2021.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Demonstrate an indepth knowledge of a variety of advanced statistical analytic techniques
  2. Demonstrate the correct implementation of a variety of advanced statistical analytic techniques
  3. Choose appropriate statistical analyses relevant to specific research designs.

Learning outcomes fulfil the level 2 pre-professional core competencies required by the updated Australian Psychology Accreditation Council (APAC) guidelines. The learning outcomes also meet the study criteria as specified by the Psychology Board of Australia (PsyBA) as appropriate for study at level 8 as stated by the Australian Qualifications Framework (AQF).

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
1 - Online Quiz(zes) - 20%
2 - Practical Assessment - 60%
3 - Online Test - 20%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3
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 - Online Quiz(zes) - 20%
2 - Practical Assessment - 60%
3 - Online Test - 20%
Textbooks and Resources

Textbooks

Prescribed

Discovering statistics using IBM SPSS statistics 5th (2018)

Authors: Andy Field
Sage
London London , UK
ISBN: 9781526419521
Binding: Paperback
Supplementary

SPSS Survival Manual 6th (2016)

Authors: Julie Pallant
Allen and Unwin
Berkshire Berkshire , England
ISBN: 9781760291952
Binding: Paperback

Additional Textbook Information

You can use other editions of the textbooks for this unit - just be aware that the Chapters/page numbers may not align with the information provided in the Unit Profile.

If there are e-versions of these textbooks they are likely to be cheaper than the hardcopy versions.   

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • IBM SPSS Statistics GradPack. Ideally buy the latest version (v27) and either the Standard or Premium edition. This course requires the Standard feature set, but some of you may need Premium features for your thesis. I suggest discussing with your thesis supervisor.
Referencing Style

All submissions for this unit must use the referencing style: American Psychological Association 7th Edition (APA 7th edition)

For further information, see the Assessment Tasks.

Teaching Contacts
Alex Russell Unit Coordinator
a.m.russell@cqu.edu.au
Tina McAdie Unit Coordinator
t.mcadie@cqu.edu.au
Schedule
Week 1 Begin Date: 08 Mar 2021

Module/Topic

Elements of advanced statistics  

Chapter

Field, Version 4, Chapters 1 and 2

Field, Version 5, Chapters 1, 2 and 3  

Events and Submissions/Topic

eFil Quiz (not graded)

SPSS practical (not graded)

Week 2 Begin Date: 15 Mar 2021

Module/Topic

Model bias

Chapter

Field, Version 4, Chapter 5

Field, Version 5, Chapter 6

Events and Submissions/Topic

eFil quiz

SPSS practical

Week 3 Begin Date: 22 Mar 2021

Module/Topic

Correlation

Chapter

Field, Version 4, Chapter 7

Field, Version 5, Chapter 8

Events and Submissions/Topic

eFil quiz

SPSS practical

Week 4 Begin Date: 29 Mar 2021

Module/Topic

Regression

Chapter

Field, Version 4, Chapter 8

Field, Version 5, Chapter 9

Events and Submissions/Topic

eFil quiz

SPSS practical

Week 5 Begin Date: 05 Apr 2021

Module/Topic

Comparing means (GLM1)

Chapter

Field, Version 4, Chapters 9 and 11

Field, Version 5, Chapter 10 and 12

Events and Submissions/Topic

eFil quiz

SPSS practical

Vacation Week Begin Date: 12 Apr 2021

Module/Topic

Chapter

Events and Submissions/Topic

Week 6 Begin Date: 19 Apr 2021

Module/Topic

Moderation and mediation    

Chapter

Field, Version 4, Chapter 10

Field, Version 5, Chapter 11

Events and Submissions/Topic

eFil quiz (not graded)

SPSS practical (not graded)

Week 7 Begin Date: 26 Apr 2021

Module/Topic

Analysis of covariance (GLM2)

Chapter

Field, Version 4, Chapter 12

Field, Version 5, Chapter 13

Events and Submissions/Topic

eFil quiz

SPSS practical

Week 8 Begin Date: 03 May 2021

Module/Topic

Factorial ANOVA (GLM3)  

Chapter

Field, Version 4, Chapter 13

Field, Version 5, Chapter 14

Events and Submissions/Topic

eFil quiz

SPSS practical

Week 9 Begin Date: 10 May 2021

Module/Topic

Repeated measures designs (GLM4)

Chapter

Field, Version 4, Chapter 14

Field, Version 5, Chapter 15

Events and Submissions/Topic

eFil quiz

SPSS practical

Week 10 Begin Date: 17 May 2021

Module/Topic

Mixed design ANOVA (GLM5)

Chapter

Field, Version 4, Chapter 15

Field, Version 5, Chapter 16

Events and Submissions/Topic

eFil quiz

SPSS practical

Week 11 Begin Date: 24 May 2021

Module/Topic

Exploratory factor analysis

Chapter

Field, Version 4, Chapter 17

Field, Version 5, Chapter 18

Events and Submissions/Topic

eFil quiz

SPSS practical

Week 12 Begin Date: 31 May 2021

Module/Topic

Logistic regression    

Chapter

Field, Version 4, Chapter 19

Field, Version 5, Chapter 20

Events and Submissions/Topic

eFil quiz

SPSS practical

Review/Exam Week Begin Date: 07 Jun 2021

Module/Topic

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 14 Jun 2021

Module/Topic

Chapter

Events and Submissions/Topic

Assessment Tasks

1 Online Quiz(zes)

Assessment Title
eFIL EXERCISES (10 assessed + 2 non-assessed)

Task Description

eFIL (electronic Focused Interactive Learning) is an innovative method of assessment that encourages active learning and communication among students, irrespective of location. eFIL activities are incorporated into weeks 2-5 and 7-12.

Each eFIL exercise will comprise a weighted 2% of the unit grade. eFIL exercises also occur in weeks 1 and 6 but these do not contribute to your final unit grade.

What’s Involved?

Each week you will complete a multiple choice quiz containing 5 ‘complex-reasoning’ and content-knowledge questions. The quiz will be open from Monday morning 9:00 until the following Monday night 23:59 and questions will be based on that week’s unit content. You need to attempt the quiz twice, with the second attempt being graded.

After the first attempt you will have access to an eFIL Discussion forum for that week, which allows you to discuss the quiz with a small group of other students, before taking your second (and graded) attempt at the quiz. Each quiz is open for 20 minutes.

How is eFIL different from a normal quiz?

eFIL assessment provides you with the opportunity to discuss your answers with a small group of students online, just as if you were in a classroom tutorial session. Every week, after the first quiz attempt has been made, you will be able to enter a forum as part of a small group of students, where you will have the opportunity to discuss their answers and the reasons for these answers. You will then take the quiz a second time; open until a following Monday night deadline; with the benefits of knowing the views of other students. Your highest grade of the two will count.

IMPORTANT: It is strongly encouraged that you keep up to date with iterative assessments. In extenuating circumstances (and in accordance with assessment policy and procedure) an alternative question bank and dataset can be arranged; however please note that this is unlikely to be approved if close to the due date, so you need to plan their time accordingly.


Number of Quizzes

10


Frequency of Quizzes

Weekly


Assessment Due Date

Each weekly eFIL activity closes at 11:55pm on the Monday of the following calendar week (e.g. Week 1 eFIL closes on the Monday of Week 2).


Return Date to Students

Marked answers with solutions are available when the quiz closes and further feedback is provided via forums and weekly consultation sessions.


Weighting
20%

Assessment Criteria

Each quiz question is in multiple choice format and are weighted equally. Each individual eFIL activity is worth 2%. There are five (5) questions in each activity, and each question is weighted equally.


Referencing Style

Submission
Online

Submission Instructions
Quiz is completed via the moodle site.

Learning Outcomes Assessed
  • Demonstrate an indepth knowledge of a variety of advanced statistical analytic techniques
  • Demonstrate the correct implementation of a variety of advanced statistical analytic techniques


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

2 Practical Assessment

Assessment Title
SPSS Practical Exercises (10 Assessed + 2 Non-assessed)

Task Description

Practical proficiency in analysing data will be assessed via the completion of data analysis exercises in SPSS. Due to the unit being offered by distance, data-sets and questions will be provided for analysis via Moodle in weeks 2, 3, 4, 5, 7, 8, 9, 10, 11 and 12. As in the case of the eFIL exercises, SPSS practicals also occur in weeks 1 and 6 but these do not contribute to your final unit grade.

Content Covered

Each SPSS practical exercise will cover material for that teaching week: i.e. SPSS practical 1 will cover material from teaching week 1. Importantly, the SPSS practical exercises will be based heavily on the 'Smart Alex's tasks' at the end of each chapter in the text. Therefore, you should ensure that you complete and then read the feedback (available as supporting content from the publisher’s website) for the relevant Smart Alex's tasks before attempting the practical exercise. For example, you should complete all the Smart Alex's tasks for chapters 1 and 2 in week 1 before attempting the quiz. You should also complete your review of the chapter content for that week before attempting the SPSS practical.

Timing

Each SPSS practical will open in the morning on the Monday of the current teaching week, and close at 11:59 on the following Monday. Note that the window for completing each assessment is the same as the eFIL quizzes. In contrast to eFIL, the SPSS practicals are not intended as group discussion exercises are and rather focused on developing your confidence to independently conduct and interpret statistical analysis. A time-limit of 2 hours is enforced for entering the answers of each SPSS practical. Therefore, you should ensure that you take steps to avoid technical issues, are fully prepared, and have sufficient time to complete the questions before beginning the assessment.

IMPORTANT: It is strongly encouraged that you keep up to date with iterative assessments. In extenuating circumstances (and in accordance with assessment policy and procedure) an alternative question bank and dataset can be arranged; however please note that this is unlikely to be approved if close to the due date, so students need to plan their time accordingly.


Assessment Due Date

Each weekly SPSS practical activity closes at 11:55pm on the Monday of the following calendar week (e.g. Week 1 SPSS Practical Exercise closes on the Monday of Week 2)


Return Date to Students

Fully detailed feedback and walkthroughs of each data analysis task will be made available immediately after the activity closes.


Weighting
60%

Assessment Criteria

Each SPSS practical exercise is worth 6% of your unit grade, and will involve analysing data using SPSS. Grades are determined by answering 5-6 specific questions regarding the data, analysis and results via Moodle. Questions will be in a variety of formats. Some questions will be quite concrete (e.g. stating an item of SPSS output) whilst others will require interpretation and judgement. Answers will be entered by students in a variety of formats, including entering a numeric value and selecting one or more statements from a list. Most questions are marked either correct (full marks for that item) or incorrect (no marks for that item). However questions that involve selecting one or more correct statements from a list will provide credit for partially correct answers. See document Guidelines for the eFIL & SPSS Practicals on Moodle website for further details.


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • Demonstrate the correct implementation of a variety of advanced statistical analytic techniques
  • Choose appropriate statistical analyses relevant to specific research designs.


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

3 Online Test

Assessment Title
FINAL ASSESSMENT/"EXAM"

Task Description

The final assessment for the course is an online assessment, which will be held during examination week. Previously, this unit had an offline exam, but due to COVID-19, this has changed. The final assessment is worth 20% and is an online quiz, where you will be given a scenario, and will then answer 2-3 short questions on each one. A practice example of the exam will be available on Moodle throughout the semester, so you can see its format. Answers will generally be short answers, in some cases a single word or number will be required, while in other cases, you may be required to write a sentence or two. The replacement assessment is open-book, and three hours are allowed for completion. You will not be allowed to consult with other students during the examination period.


Assessment Due Date

Return Date to Students

Weighting
20%

Assessment Criteria

This assessment covers the entire content of the course, and is worth 20% of your final mark. While you will get feedback on your eFIL and SPSS prac assessments, for this final assessment, you will not get feedback apart from your mark. The assessment is marked manually by the unit coordinator, so marks will not be immediately available when the assessment is completed.


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • Demonstrate an indepth knowledge of a variety of advanced statistical analytic techniques
  • Choose appropriate statistical analyses relevant to specific research designs.


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking

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?