CQUniversity Unit Profile
ESSC11002 Measurement and Evaluation in Health Science
Measurement and Evaluation in Health Science
All details in this unit profile for ESSC11002 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 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

Career Level: Undergraduate
Unit Level: Level 1
Credit Points: 6
Student Contribution Band: 10
Fraction of Full-Time Student Load: 0.125

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 - 2022

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: 30%
2. Written Assessment
Weighting: 70%

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 Have Your Say

Feedback

Increase the visual quality of the tutorials.

Recommendation

It is recommended to improve the visuals of the tutorials for students.

Feedback from Have Your Say

Feedback

Change the weighting of the Written assessment Part A and B.

Recommendation

It is recommended that Part A and Part B weightings for the Written assessment be modified to reflect the assessment items.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Identify fundamental statistical terminology and theory
  2. Demonstrate knowledge and ability in collating, organising and displaying research data
  3. Utilise descriptive and inferential statistics to inform appropriate decision making
  4. Apply statistical software to analyse, manage and describe statistical outcomes
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 - 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 - 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) - 30%
2 - Written Assessment - 70%
Textbooks and Resources

Textbooks

Prescribed

Statistics for people who (think they) hate statistics using microsoft excel

Edition: 4th (2016)
Authors: Neil Salkind
Sage
London London , United Kingdom
ISBN: 9781483374086
Binding: Paperback

Additional Textbook Information

The Fourth edition is now Out of Print. It is available online at the Library website, but anyone ordering a paper copy will receive the 5th edition.

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • Adobe Acrobat Reader (or similar) software for viewing PDF documents
  • Excel 2016 (onwards) with Data Analysis Toolpak
  • ZOOM Videoconferencing software. A ZOOM account is available with your student credentials. We will use this software for review meetings.
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
Mandy Plumb Unit Coordinator
a.plumb@cqu.edu.au
Schedule
Week 1 Begin Date: 07 Nov 2022

Module/Topic

Introduction to Statistics and the
Wonderful World of Excel

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 1 Statistics or Sadistics? It's Up to You

Chapter 6 Just the Truth: An Introduction to Understanding Reliability and Validity
Appendix A Excel-erate Your
Learning

Events and Submissions/Topic

Week 2 Begin Date: 14 Nov 2022

Module/Topic

Descriptive Statistics and How to
Present Them

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 2 Computing and  Understanding Averages: Means to an End
Chapter 3 Vive la Difference: Understanding Variability
Chapter 4 A Picture Really Is Worth a Thousand Words

Events and Submissions/Topic

Week 3 Begin Date: 21 Nov 2022

Module/Topic

So You Want to Be a Scientist?
Introduction to Research and
Hypothesis Testing

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 7 Hypotheticals and You: Testing Your Questions

Events and Submissions/Topic

Week 4 Begin Date: 28 Nov 2022

Module/Topic

Testing Your Research Question:
Importance of Normal Distribution and
Introduction to Inferential Statistics

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 8 Are Your Curves Normal? Probability and Why It Counts
Chapter 9 Significantly Significant: What It Means for You and Me

Events and Submissions/Topic

Vacation Week Begin Date: 05 Dec 2022

Module/Topic


Chapter


Events and Submissions/Topic


Week 5 Begin Date: 12 Dec 2022

Module/Topic

Analysing Categorical Data

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 17 What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Events and Submissions/Topic

Online Quiz 1 opens: 

Week 5 Monday (12 Dec, 2022) 9:00 am AEST and will be available until Week 6 Monday (19 Dec, 2022) 9:00 am AEST. 

Week 6 Begin Date: 19 Dec 2022

Module/Topic

Analysing Interval/Ratio Data Part 1:
Testing for Differences with a Single
Sample

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 10 Only the Lonely: The One-Sample Z-Test

Events and Submissions/Topic

Written Assessment Part A Due: 

Week 6 Monday (19 Dec, 2022) 9:00 am AEST 

Vacation Week Begin Date: 26 Dec 2022

Module/Topic


Chapter


Events and Submissions/Topic


Week 7 Begin Date: 02 Jan 2023

Module/Topic

Analysing Interval/Ratio Data Part 2:
Testing for Differences between Two
Independent Samples – Parametric
and Nonparametric Tests

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 11 T(ea) for Two: Tests Between the Means of Different Groups

Chapter 17 What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Events and Submissions/Topic

Week 8 Begin Date: 09 Jan 2023

Module/Topic

Analysing Interval/Ratio Data Part 3:
Testing for Differences between Two
Dependent Samples – Parametric and
Nonparametric Tests

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 12 T(ea) for Two: Tests Between the Means of Related Groups
Chapter 17 What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Events and Submissions/Topic

Week 9 Begin Date: 16 Jan 2023

Module/Topic

Analysing Interval/Ratio Data Part 4:
Testing for Differences between More
Than Two Independent Samples –
Parametric and Nonparametric Tests

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 13 Two Groups Too Many? Try Analysis of Variance
Chapter 17 What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Events and Submissions/Topic

Online Quiz 2 opens:

Week 9 Monday (16 Jan, 2023) 9:00 am AEST and will be available until Week 10 Monday (23 Jan, 2023) 9:00 am AEST.

Week 10 Begin Date: 23 Jan 2023

Module/Topic

Analysing Interval/Ratio Data Part 5:
Testing for Differences between More
Than Two Dependent Samples –
Parametric vs Nonparametric Tests

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 13 Two Groups Too Many? Try Analysis of Variance

Chapter 17 What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Events and Submissions/Topic

Week 11 Begin Date: 30 Jan 2023

Module/Topic

Analysing Interval/Ratio Data Part 6:
Testing for Associations and
Predictions – Parametric and
Nonparametric Tests

Chapter

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 (4th ed.).


Chapter 5 Ice Cream and Crime: Computing Correlation Coefficients
Chapter 15 Cousins or Just Good Friends? Testing Relationships Using Correlation Coefficient
Chapter 16 Predicting Who’ll Win the Super Bowl: Using Linear Regression

Events and Submissions/Topic

Week 12 Begin Date: 06 Feb 2023

Module/Topic

Unit Wrap-up

Chapter

Events and Submissions/Topic

Online Quiz 3 opens:

Week 12 Monday (6 Feb, 2023) 9:00 am AEST and will be available until Review/Exam Week Monday (13 Feb, 2023) 9:00 am AEST.

Written Assessment Part B Due:

Week 12 Monday (6 Feb, 2023) 9:00 am AEST

Exam Week Begin Date: 13 Feb 2023

Module/Topic

Chapter

Events and Submissions/Topic

Assessment Tasks

1 Online Quiz(zes)

Assessment Title
Online Quizzes

Task Description

The online quizzes will comprise three (3) separate Online Quizzes made up of multiple-choice and fill-in-the-blank questions.

Each Online Quiz is to be completed on your own using multiple resources to help you answer the questions. You are responsible for logging onto Moodle and completing each Online Quiz when the quiz is available. In the absence of an approved extension, no late submissions will be allowed for any of the Online Quizzes that make up this assessment item. Once you start the quiz you must complete the quiz in one attempt.

Online Quiz 1 (Weighting: 10% of final grade)

Online Quiz 1 will be available during the following times:

Opening date: Online Quiz 1 will open Week 5 Monday (12 Dec, 2022) at 09:00 am AEST.

Closing date: Online Quiz 1 will close Week 6  Monday (19 Dec, 2022) at 09:00 am AEST.

You must log onto Moodle during this time period to complete Online Quiz 1. Online Quiz 1 will contain 20 questions associated with weeks 1 - 4 (inclusive) and you will have 40 minutes to complete this Online Quiz.

Online Quiz 2 (Weighting: 10% of final grade)

Online Quiz 2 will be available during the following times:

Opening date: Online Quiz 2 will open Week 9 Monday (16 Jan, 2023) at 09:00 am AEST.

Closing date: Online Quiz 2 will close Week 10 Monday (23 Jan, 2023) at 09:00 am AEST.

You must log onto Moodle during this time period to complete Online Quiz 2. Online Quiz 2 will contain 20 questions associated with weeks 5 - 8 (inclusive) and you will have 40 minutes to complete this Online Quiz.

Online Quiz 3 (Weighting: 10% of final grade)

Online Quiz 3 will be available during the following times:

Opening date: Online Quiz 3 will open Week 12 Monday (6 Feb, 2023) at 09:00 am AEST.

Closing date: Online Quiz 3 will close Review/Exam Week (13 Feb, 2023) at 09:00 am AEST.

You must log onto Moodle during this time period to complete Online Quiz 3. Online Quiz 3 will contain 20 questions associated with weeks 9 - 11 (inclusive) and you will have 40 minutes to complete this Online Quiz.


Number of Quizzes

3


Frequency of Quizzes

Other


Assessment Due Date

The three (3) online quizzes will be administered at various time point as described in the Task Description.


Return Date to Students

Quiz results will be available to students at the close of each quiz.


Weighting
30%

Assessment Criteria

Responses to Online Quizzes will be marked as correct or incorrect by the Moodle Online Quiz System, and tabulated to give a mark for each Online Quiz. For questions with text-based responses (e.g. fill in the blank) you should take care with spelling (Australian English) and grammar, as answers are spelling and grammar sensitive.


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • 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


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking

2 Written Assessment

Assessment Title
Written Assessment

Task Description

This assessment task comprises two (2) parts: Part A, and Part B

Part A Due date: Week 6 Monday (19 Dec, 2022) 09:00 am AEST.

Part A: Weighting is 20% of overall grade.

For Part A, you will be provided with an Excel file that will contain a data set for which you will need to perform a series of analyses. The assessment questions will be based on material covered in Week 1 to Week 5 (inclusive). To complete the assessment you must answer the questions on the provided Excel file. The task is to be completed individually. A copy of the data sets and questions for this assessment will be available on the Moodle site as an Excel file. Each question will be accompanied by a breakdown of the available marks. A marking rubric for the assessment task is available on Moodle.

Part B Due date: Week 12 Monday (6 Feb, 2023) 09:00 am AEST.

Part B: Weighting is 50% of overall grade.

For Part B, you will be provided with a different Excel file to Part A with a set of data and research questions. For each research question, you will be required to conduct an appropriate statistical analysis to answer the proposed question. You may also need to conduct some preliminary analyses to determine the appropriate statistical analysis necessary to answer the question. In addition to the statistical analysis, you will provide a written summary detailing the analysis and the results of the statistical analysis using the APA formatting as required (see Word document template). This task is to be completed individually. A copy of the data sets and research questions for this assessment is available on the unit Moodle site. Please note the analyses required for this assessment will be based on material covered in Week 1 to Week 11 (inclusive). A marking rubric for this assessment task is available on Moodle. To complete this assessment, you must upload two (2) files - one (1) Excel file and one (1) Word file.

1. Excel File - For each data set and associated research question, you must conduct the appropriate analyses on the provided Excel file. Your data and analyses must be clearly formatted/organized and labelled.

2. Word File - For each data set and associated research question, you must write a brief summary reporting the statistical analysis and the findings (along with any requested tables or figures) in APA format. The summary for each data set and associated research question should be no more than 150 words. 


Assessment Due Date

Part A is due Week 6 Monday (19 Dec, 2022) at 09:00 am AEST. Part B is due Week 12 Monday (6 Feb, 2023) at 09:00 am AEST


Return Date to Students

Marks for Part A will be available two (2) working weeks after submission date and will be on Monday (9 Jan, 2023). Marks for Part B will be available on release of final grades.


Weighting
70%

Minimum mark or grade
Overall, a minimum grade of 50% is required to be met for the Written Assessment item (Part A and B).

Assessment Criteria

Part A

Marking will be based on the following criteria:

1. Appropriate use of Excel functions and statistical analysis.

Part B

Marking will be based on the following criteria:

1. Appropriate use and presentation of Excel statistical analyses to answer each proposed research question.

2. Appropriate summary and interpretation of statistical findings.


Referencing Style

Submission
Online

Submission Instructions
Assessments (Part A and Part B) are to be completed on the provided file/s and submitted as an Excel (.xls or .xlsx) and Word file (.doc or .docx) via the respective Moodle Online Assignment upload link.

Learning Outcomes Assessed
  • 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


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

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?