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 2 - 2020

Cairns
Mackay
Online
Rockhampton

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. Written Assessment
Weighting: 45%
2. Written Assessment
Weighting: 55%

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 Moodle

Feedback

Students appreciate the video tutorials and found them very beneficial to understanding the statistical content

Recommendation

The Excel video tutorials will continue to be developed for this unit. Additional video tutorials will be included to develop a broader library of statistical analyses.

Feedback from Email

Feedback

Students commented about lecture content and the large amount of information.

Recommendation

With the modification of the unit learning outcomes and assessment for this unit the lecture content and delivery style will also be improved to reflect these changes.

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 - Written Assessment - 45%
2 - Written Assessment - 55%

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 - Written Assessment - 45%
2 - Written Assessment - 55%
Textbooks and Resources

Textbooks

Prescribed

Statistics for People Who (Think They) Hate Statistics :Using Microsoft Excel 2016

Edition: 4th edn (2016)
Authors: Salkind , Neil
Sage Publications
London London , UK
ISBN: 9781483374086
Binding: Paperback

Additional Textbook Information

Accessing editions four (4) onwards for this textbook is acceptable. If you prefer to study with a paper copy, they are available at the CQUni Bookshop here: http://bookshop.cqu.edu.au (search on the Unit code). eBooks are available at the publisher's website.

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
Sam Fien Unit Coordinator
s.fien@cqu.edu.au
Schedule
Week 1 Begin Date: 13 Jul 2020

Module/Topic

Introduction to Statistics and the
Wonderful World of Excel

Chapter

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: 20 Jul 2020

Module/Topic

Descriptive Statistics and How to
Present Them

Chapter

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: 27 Jul 2020

Module/Topic

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

Chapter

Chapter 7 Hypotheticals and You:
Testing Your Questions
Online Material

Events and Submissions/Topic

Week 4 Begin Date: 03 Aug 2020

Module/Topic

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

Chapter

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

Week 5 Begin Date: 10 Aug 2020

Module/Topic

Analysing Categorical Data

Chapter

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

Events and Submissions/Topic

Vacation Week Begin Date: 17 Aug 2020

Module/Topic


Chapter


Events and Submissions/Topic


Week 6 Begin Date: 24 Aug 2020

Module/Topic

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

Chapter

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

Events and Submissions/Topic

Week 7 Begin Date: 31 Aug 2020

Module/Topic

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

Chapter

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
Online Material

Events and Submissions/Topic

Week 8 Begin Date: 07 Sep 2020

Module/Topic

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

Chapter

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
Online Material

Events and Submissions/Topic

Statistical Analysis #1 Due: Week 8 Thursday (10 Sept 2020) 5:00 pm AEST
Week 9 Begin Date: 14 Sep 2020

Module/Topic

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

Chapter

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
Online Material

Events and Submissions/Topic

Week 10 Begin Date: 21 Sep 2020

Module/Topic

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

Chapter

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
Online Material

Events and Submissions/Topic

Week 11 Begin Date: 28 Sep 2020

Module/Topic

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

Chapter

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
Online Material

Events and Submissions/Topic

Week 12 Begin Date: 05 Oct 2020

Module/Topic

Unit Wrap-up

Chapter

Events and Submissions/Topic

Review/Exam Week Begin Date: 12 Oct 2020

Module/Topic

Chapter

Events and Submissions/Topic

Statistical Analysis #2 Due: Review/Exam Week Monday (12 Oct 2020) 5:00 pm AEST
Exam Week Begin Date: 19 Oct 2020

Module/Topic

Chapter

Events and Submissions/Topic


Term Specific Information

Due to COVID-19 restrictions there will be no face-to-face on-campus lectures. Lectures will be delivered through a combination of live Zoom sessions and pre-recorded lecture videos.


Assessment Tasks

1 Written Assessment

Assessment Title
Statistical Analysis #1

Task Description

You will be provided with an Excel file that will contain a set of data 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 7 (inclusive) and will include the following:
1. Statistical Terminology and Knowledge
2. Use of Built-in Excel Functions
3. Construction of a Frequency Distribution Table and Histograms
4. Calculating and Summarising Descriptive Statistics
5. Statistical Analysis of Categorical Data and Summarising Findings of the Analysis
6. Conducting a Single Sample Statistical Test and Summarising Findings of the Analysis
7. Conducting a Statistical Test of Differences and Summarising Findings of the Analysis

To complete this assessment, you must answer the questions on the provided Excel file. Answers must be clearly organised and using APA formatting as required. This task is to be completed individually. You may use multiple resources to help answer the questions. A copy of the data sets and questions for this assessment will be made available (as an Excel file) at the start of Week 3 on the unit Moodle site. Each question will provide a breakdown of marks available for the correct answers. A marking rubric is available on the assessment task. 


Assessment Due Date

Week 8 Thursday (10 Sept 2020) 5:00 pm AEST

The completed Excel file will be submitted via the Moodle Online Assignment upload link.


Return Date to Students

Week 10 Thursday (24 Sept 2020)

Feedback and grade will be returned via the unit Moodle site.


Weighting
45%

Assessment Criteria

Marking will be based on the following criteria:
1. Appropriate use and presentation of Excel functions and statistical analyses
2. Appropriate summary of statistical findings including APA formatting


Referencing Style

Submission
Online

Submission Instructions
Assessments are to be completed on the provided Excel file and submitted as an Excel file (.xls or .xlsx) via the 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
  • Cross Cultural Competence
  • Ethical practice

2 Written Assessment

Assessment Title
Statistical Analysis #2

Task Description

For this assessment item, you will be provided an Excel file with a set of data and six (6) research scenarios/questions. For each research scenario 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 also provide a written summary detailing the analysis that was completed and the results of the statistical analysis using APA formatting as required.


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/organised 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. NOTE: Simply copying data from the Excel spreadsheet and embedding into the Word file will NOT suffice for this assessment piece.
This task is to be completed individually. You may use multiple resources to help answer the questions. A copy of the data sets and research questions for this assessment will be made available (as an Excel file) at the start of Week 6 on the unit Moodle site. Please note, the analyses required for this assessment will be based on material covered in Week 7 to Week 11 (inclusive). Each question will provide a breakdown of marks available for the correct answers. A marking rubric is available on the assessment task. 


Assessment Due Date

Review/Exam Week Monday (12 Oct 2020) 5:00 pm AEST

Both the Excel and Word files will be submitted via the Moodle Online Assignment upload link.


Return Date to Students

Assessment results will be returned upon certification of grades.


Weighting
55%

Assessment Criteria

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 including APA formatting (including tables and figures)


Referencing Style

Submission
Online

Submission Instructions
You are to submit two files (one Excel file (.xls or .xlsx) and one Word file (.doc or .docx)) via the 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
  • Cross Cultural 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?