Overview
In Measurement and Evaluation in Health Science you will study and explore a range of experimental designs and statistical analyses appropriate to investigations in a wide range of fields. This unit will introduce you to both parametric and non-parametric statistical methods that will allow you to be informed, evaluate the credibility and usefulness of information, and make appropriate decisions about research data. This is a practical unit that will develop your skills in the use of statistical software to organise, analyse and report statistical outcomes.
Details
Pre-requisites or Co-requisites
There are no requisites for this unit.
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 3 - 2024
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 Self-reflection
Some of the tutorials were posted late.
It is recommended the unit coordinator post tutorials by the time posted on the university timetable.
Feedback from Student feedback
Some students would have liked the option to submit their assessments more than two weeks in advance of the due date.
It is recommended the unit coordinator attempt to post assessments earlier in the term.
Feedback from Student feedback
The lectures are interesting and practical.
It is recommended the unit coordinator attempt to keep the lectures interesting and practical.
- Identify fundamental statistical terminology and theory
- Demonstrate knowledge and ability in collating, organising and displaying research data
- Utilise descriptive and inferential statistics to inform appropriate decision making
- Apply statistical software to analyse, manage and describe statistical outcomes
Alignment of Assessment Tasks to Learning Outcomes
| Assessment Tasks | Learning Outcomes | |||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| 1 - Online Quiz(zes) - 30% | ||||
| 2 - Written Assessment - 70% | ||||
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 - First Nations Knowledges | ||||
| 11 - 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 | 11 | |
| 1 - Online Quiz(zes) - 30% | |||||||||||
| 2 - Written Assessment - 70% | |||||||||||
Textbooks
There are no required textbooks.
Additional Textbook Information
Students will be required to download Jamovi, a free open-source statistical analysis software package. This download is available for Windows and Mac operating systems. https://www.jamovi.org/download.html
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- Word
- Excel
- Jamovi (free statistics analysis program)
- Paint
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.
r.bartlett@cqu.edu.au
Week 1
Begin Date: 04 Nov 2024Module/Topic
Lecture: Unit introduction and Fundamentals of Statistics
Lab: Introduction to Excel
Chapter
Introduction to Statistics pages 231-234
Events and Submissions/Topic
Week 2
Begin Date: 11 Nov 2024Module/Topic
Lecture: Fundamentals of Statistics Continued
Lab: Introduction to Jamovi
Chapter
Introduction to Statistics pages 10-28, 34-39, 131-135
Events and Submissions/Topic
Week 3
Begin Date: 18 Nov 2024Module/Topic
Lecture: The Bell Curve and the Importance of Random Sampling
Lab: Checking Data for Normality
Chapter
Introduction to Statistics pages 44-51
Events and Submissions/Topic
Week 4
Begin Date: 25 Nov 2024Module/Topic
Lecture: Understanding Significance Testing
Lab: APA Formatting and When to Use Tables and Figures in Research
Chapter
Introduction to Statistics pages 222-224, 235-237, 238-241
Events and Submissions/Topic
Week 5
Begin Date: 02 Dec 2024Module/Topic
Lecture: Pearson's Product Moment Correlation
Lab: Understanding Pearson's Correlations
Chapter
Introduction to Statistics pages 164-174
Events and Submissions/Topic
Online Quiz 1 Due: Week 5 Friday (6 December 2024) 5:00 PM AEST
Week 6
Begin Date: 09 Dec 2024Module/Topic
Lecture: Bringing the Scientific Method and Statistics Together
Lab: No lab
Chapter
Introduction to Statistics pages 337-355, 369-376, 375-389
Events and Submissions/Topic
Written Assessment Part A Due: Week 6 Friday (13 December 2024) 5:00 PM AEST
Week 7
Begin Date: 16 Dec 2024Module/Topic
Lecture: Dependent t-tests
Lab: Understanding Dependent t-tests
Chapter
Events and Submissions/Topic
Vacation Week
Begin Date: 23 Dec 2024Module/Topic
Chapter
Events and Submissions/Topic
Vacation Week
Begin Date: 30 Dec 2024Module/Topic
Chapter
Events and Submissions/Topic
Week 8
Begin Date: 06 Jan 2025Module/Topic
Lecture: Independent t-tests
Lab: Understanding Independent t-tests
Chapter
Introduction to Statistics pages 406-411
Events and Submissions/Topic
Week 9
Begin Date: 13 Jan 2025Module/Topic
Lecture: Within group ANOVAs
Lab: Understanding Within Group ANOVA
Chapter
Events and Submissions/Topic
Online Quiz 2 Due: Week 9 Friday (17 January 2025) 5:00 PM AEST
Week 10
Begin Date: 20 Jan 2025Module/Topic
Lecture: Between group ANOVAs
Lab: Understanding Between Group ANOVA
Chapter
Events and Submissions/Topic
Week 11
Begin Date: 27 Jan 2025Module/Topic
Lecture: RM ANOVAs
Lab: Understanding RM ANOVA
Chapter
Events and Submissions/Topic
Online Quiz 3 Due: Week 11 Friday (31 January 2025) 5:00 PM AEST
Week 12
Begin Date: 03 Feb 2025Module/Topic
Lecture: No Lecture
Lab: No lab
Chapter
Events and Submissions/Topic
Written Assessment Part B Due: Week 12 Friday (7 February 2025) 5:00 PM AEST
Exam Week
Begin Date: 10 Feb 2025Module/Topic
Chapter
Events and Submissions/Topic
1 Online Quiz(zes)
There will be three (3) online quizzes comprised of multiple-choice questions. Each online quiz is to be completed on your own, using resources presented in this class. You are responsible for logging into Moodle and completing each online quiz while each online quiz is available. In the absence of an approved extension no late submissions will be allowed for any of the online quizzes that comprise this assessment item. Each online quiz must be completed in a single session (i.e., once you open an online quiz you will not be able to open it again) and you only have one (1) attempt on each online quiz. Online quizzes should be completed on a computer as attempting the quiz on a smartphone can result in your session being ended in the event of a phone call notification.
Online Quiz 1 (10% of final grade)
This quiz will cover unit content including lectures, labs, and readings from weeks 1-4. It is your responsibility to log into Moodle and complete the quiz within the given time period.
Opening date: Week 4 Friday at 5:00 PM AEST
Closing date: Week 5 Friday at at 5:00 PM AEST
Online Quiz 2 (10% of final grade)
This quiz will cover unit content including lectures, labs, and readings from weeks 1-8. It is your responsibility to log into Moodle and complete the quiz within the given time period.
Opening date: Week 8 Friday at 5:00 PM AEST
Closing date: Week 9 Friday at at 5:00 PM AEST
Online Quiz 3 (10% of final grade)
This quiz will cover unit content including lectures, labs, and readings from weeks 1-10. It is your responsibility to log into Moodle and complete the quiz within the given time period.
Opening date: Week 10 Friday at 5:00 PM AEST
Closing date: Week 11 Friday at at 5:00 PM AEST
3
Other
The three (3) Online Quizzes will be administered at various timepoints as described in the task description.
Results for each Online Quiz will be available to students after the each quiz closes.
Questions will be graded as correct or incorrect via the Moodle online quiz system. All quiz questions are equally weighted.
- Identify fundamental statistical terminology and theory
- Demonstrate knowledge and ability in collating, organising and displaying research data
- Utilise descriptive and inferential statistics to inform appropriate decision making
- Communication
- Problem Solving
- Critical Thinking
2 Written Assessment
This assessment task is composed of two parts: Part A and Part B.
Written Assessment Part A
Due date: Week 6 Friday at at 5:00 PM AEST
Weighting: 30% of overall grade
Description: Written Assessment Part A will cover unit content including lectures, labs, and readings from Weeks 1-5. Questions will assess your understanding of unit content (e.g., why is random sampling important?) and your ability to work with data (e.g., correctly set up a data sheet, or given a set of data run the proper analysis and properly interpret the results). Submit your answers to the assessment questions on the Word document provided to you on Moodle. Do not change the provided template (e.g., move or remove the rubrics) and keep all text provided in red font. Type your answers using black font. Put your name and student number on the top of the first page of your assessment.
Plagiarism: The assessment submission will be checked for plagiarism. You are advised to familiarise yourself with CQUniversity's Academic Integrity Policy and Procedure. Any assessments suspected of plagiarism or any other type of academic misconduct will be addressed in accordance to the relevant policies noted in the unit profile.
Word count: If applicable a word count will be provided for the specific question. Words exceeding the word count will not be read.
References: References are not required as questions should be answered using unit content.
Artificial intelligence (AI) statement: The use of generative AI is not allowed for this assessment task. The assessment must be completed, individually, by each student.
Extensions: Extensions will only be granted in accordance with CQUniversity policy. Extensions must be submitted prior to the assessment due date and must be submitted through Moodle.
Late submissions: Assessments submitted late will incur penalties in accordance with CQUniversity policy.
File submission: Upload your file (answers) in a Word format (.doc or .docx). The instructor must receive an acceptable file that is readable. If an unacceptable/corrupt file is submitted your assessment will be considered late until an acceptable file is submitted. Late penalties will be incurred in accordance with CQUniversity policy.
Written Assessment Part B
Due date: Week 12 Friday at at 5:00 PM AEST
Weighting: 40% of overall grade
Description: Written Assessment Part B will cover unit content including lectures, labs, and readings from Weeks 1-12. Questions will assess your understanding of unit content and your ability to work with data. Submit your answers to the assessment questions on the Word document provided to you on Moodle. Do not change the provided template (e.g., move or remove the rubrics) and keep all text provided in red font. Type your answers using black font. Put your name and student number on the top of the first page of your assessment.
Plagiarism: The assessment submission will be checked for plagiarism. You are advised to familiarise yourself with CQUniversity's Academic Integrity Policy and Procedure. Any assessments suspected of plagiarism or any other type of academic misconduct will be addressed in accordance to the relevant policies noted in the unit profile.
Word count: If applicable a word count will be provided for the specific question. Words exceeding the word count will not be read.
References: References are not required as questions should be answered using unit content.
Artificial intelligence (AI) statement: The use of generative AI is not allowed for this assessment task. The assessment must be completed, individually, by each student.
Extensions: Extensions will only be granted in accordance with CQUniversity policy. Extensions must be submitted prior to the assessment due date and must be submitted through Moodle.
Late submissions: Assessments submitted late will incur penalties in accordance with CQUniversity policy.
File submission: Upload your file (answers) in a Word format (.doc or .docx). The instructor must receive an acceptable file that is readable. If an unacceptable/corrupt file is submitted your assessment will be considered late until an acceptable file is submitted. Late penalties will be incurred in accordance with CQUniversity policy.
Written Assessment Part A: Week 6 Friday at at 5:00 PM AEST; Written Assessment Part B: Week 12 Friday at at 5:00 PM AEST
Written Assessment Part A: Week 8 Friday at at 5:00 PM AEST; Written Assessment Part B: Exam Week Friday at at 5:00 PM AEST
Points will be awarded on your ability to correctly answer the assessment questions. Points will not be allocated to sections that are plagiarised in accordance with CQUniversity policy. A detailed marking rubric is available on Moodle.
- Identify fundamental statistical terminology and theory
- Demonstrate knowledge and ability in collating, organising and displaying research data
- Utilise descriptive and inferential statistics to inform appropriate decision making
- Apply statistical software to analyse, manage and describe statistical outcomes
- Communication
- Problem Solving
- Critical Thinking
- Information Literacy
- Information Technology Competence
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?
