CQUniversity Unit Profile
PSYC14047 Advanced Data Analysis
Advanced Data Analysis
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The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
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General Information

Overview

This module develops the analytic skills necessary for implementing applied psychological research and analysis. As such, the module provides for both theoretical input and a heavy component of computer based experiential exercises using the SPSS statistics package.

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

Academic Course = CU77 or CA44 or CC42

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 - 2019

Bundaberg
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).

Residential Schools

This unit has a Optional Residential School for distance mode students and the details are:
Click here to see your Residential School Timetable.

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. Examination
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 Formal and informal textbooks

Feedback

Update unit content to reflect current MACROs and the new Field textbook

Recommendation

With the introduction of the new PROCESS macro, new instructions for installing and using the macro will be required. Lecture content will need to be updated to support the new textbook.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Employ statistical writing skills to the level required for fourth-year psychology
  2. Implement applied psychological research analysis
  3. Demonstrate an in-depth knowledge of a variety of advanced analytic techniques
  4. Choose appropriate analyses relevant to specific research designs
  5. Write and present findings in a scientific format
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 5
1 - Online Quiz(zes) - 20%
2 - Practical Assessment - 60%
3 - Examination - 20%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4 5
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 - Online Quiz(zes) - 20%
2 - Practical Assessment - 60%
3 - Examination - 20%
Textbooks and Resources

Textbooks

Prescribed

Discovering statistics using IBM SPSS statistics

Edition: 5th (2018)
Authors: Andy Field
Sage
London London , UK
ISBN: 9781526419521
Binding: Paperback
Supplementary

SPSS Survival Manual

Edition: 6th (2016)
Authors: Julie Pallant
Allen and Unwin
Berkshire Berkshire , England
ISBN: 9781760291952
Binding: Paperback

Additional Textbook Information

Students with the previous versions are advised to access the new edition wherever possible due to differences/revisions in Field's text for 2018.

Copies of both texts can be purchased at the CQUni Bookshop here: http://bookshop.cqu.edu.au (search on the Unit code)

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 25
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
Tina McAdie Unit Coordinator
t.mcadie@cqu.edu.au
Amy Reynolds Unit Coordinator
a.reynolds@cqu.edu.au
Schedule
Week 1 Begin Date: 11 Mar 2019

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: 18 Mar 2019

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: 25 Mar 2019

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: 01 Apr 2019

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: 08 Apr 2019

Module/Topic

Comparing means (GLM1)

Chapter

Field, Version 4, Chapters 9 and 11

Field, Version 5, Chapters 10 and 11

Events and Submissions/Topic

eFil quiz

SPSS practical

Vacation Week Begin Date: 15 Apr 2019

Module/Topic

Chapter

Events and Submissions/Topic

Week 6 Begin Date: 22 Apr 2019

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: 29 Apr 2019

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: 06 May 2019

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: 13 May 2019

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: 20 May 2019

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: 27 May 2019

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: 03 Jun 2019

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: 10 Jun 2019

Module/Topic

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 17 Jun 2019

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 modules 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 students 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. Students 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 students with the opportunity to discuss their answers with a small group of students online, just as if they were in a classroom tutorial session. Every week, after the first quiz attempt has been made, students will be able to enter a forum as part of a small group of students, where they will have the opportunity to discuss their answers and the reasons for these answers. All students 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. Only the second quiz attempt is graded.

IMPORTANT: It is strongly encouraged that students 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.


Number of Quizzes

10


Frequency of Quizzes

Weekly


Assessment Due Date

Each weekly eFIL activity closes at 11:59pm on the Monday of the following calendar week (e.g. Week 1 eFIL closes on teh 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 in-depth knowledge of a variety of advanced analytic techniques
  • Choose appropriate analyses relevant to specific research designs


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Team Work
  • Information Technology Competence
  • Ethical practice

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, students should ensure they 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, students should complete all the Smart Alex's tasks for chapters 1 and 2 in week 1 before attempting the quiz. Student should also complete their 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, students should ensure they 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 students 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 11:59pm on the Monday of the following calendar week (e.g. Week 1 SPSS Practical Exercise closees 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 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
  • Employ statistical writing skills to the level required for fourth-year psychology
  • Implement applied psychological research analysis
  • Choose appropriate analyses relevant to specific research designs
  • Write and present findings in a scientific format


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

Examination

Outline
Complete an invigilated examination

Date
During the examination period at a CQUniversity examination centre

Weighting
20%

Length
150 minutes

Exam Conditions
Closed Book

Materials
Dictionary - non-electronic, concise, direct translation only (dictionary must not contain any notes or comments).
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?