EUN693 Quantitative Research in Education
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | EUN693 |
|---|---|
| Prerequisite(s): | EUN691. EUN691 can be enrolled in the same teaching period as EUN693. |
| Equivalent(s): | EUZ693 |
| Assumed Knowledge: | It is assumed that students understand educational practices in education settings and have practitioner experiences within a related education field or support profession. |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $592 |
| Domestic tuition unit fee | $3,468 |
| International unit fee | $4,740 |
Unit Outline: Semester 2 2026, Kelvin Grove, Internal
| Unit code: | EUN693 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | EUN691. EUN691 can be enrolled in the same teaching period as EUN693. |
| Equivalent: | EUZ693 |
| Assumed Knowledge: | It is assumed that students understand educational practices in education settings and have practitioner experiences within a related education field or support profession. |
| Coordinator: | Emma Carpendale | e.carpendale@qut.edu.au |
Overview
This unit is designed to give you an introduction to a range of quantitative research methods and their application to different research questions and types of quantitative data and analysis of data. You will gain a foundational understanding of various quantitative research methods and their practical applications to diverse educational research questions. You will learn to design effective surveys, collect and analyse data, and apply statistical techniques such as univariate, bivariate, and multivariate analyses. Additionally, you will develop skills in organising and managing datasets, which is a vital component of ensuring high-quality, ethical educational research.
Learning Outcomes
On successful completion of this unit you will be able to:
- Analyse quantitative research data and interpret the results in relation to educational contexts and research problems.
- Conduct ethical quantitative research related to educational issues and practices.
- Design and justify surveys and associated plans and protocols to address problems of educational practice through the application of quantitative research methodologies.
- Reflect on survey feedback and testing to improve quantitative research practice.
- Critique survey instruments used in the field of education.
Content
This unit covers the following:
- Examples of quantitative research methods in education, and principles of ethical quantitative research
- Quantitative research questions, data collection methods and data types, including surveys
- Understanding types of descriptive and inferential statistical analyses (univariate, bivariate and multivariate)
- Principles to inform the selection of quantitative methods (data collection and statistical analysis)
- Organising and working with datasets to enable analysis focused on a research question
Learning Approaches
In this unit you will learn through engaging in the following:
- pre-recorded online videos
- tutorials (online and on-campus)
- online learning activities
- readings
- authentic assessment tasks in which you will apply scholarly knowledge to real world scenarios and in your own context.
This unit employs interactive and discussion-based learning and critical reflection on the intersection of theory and experience.
Feedback on Learning and Assessment
Feedback in this unit is provided to you in the following ways:
- a range of formative exercises discussed and undertaken throughout the unit
- feedback from peers as you investigate and discuss issues raised throughout the unit
- comments about summative assessment work included with your grade.
Assessment
Overview
There are two assessments in this unit:
1. Data Project - this task draws on quantitative analysis techniques to analyse existing research data.
2. Survey Design - this task builds on quantitative data collection methods to design and test a survey.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Data Project
You will work with existing research data to undertake quantitative analysis and critique the process. Guided by a research question, you will prepare and analyse a data set. As part of the analysis, you will critique how the data has been collected and suggest improvements for future data collection.
The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Survey Design
You will write a survey proposal that includes a scholarly background and detailed methods description. Your proposal will include your survey instrument, proposed methodological procedures.
You will test your survey instrument with peers, and then participate in a video-recorded conversation about your survey with your peers. You will reflect on the test and feedback to propose changes to the survey instrument. You will also reflect on ethical research principles, and how you used these in designing your survey. Record yourself presenting your survey proposal and reflection.
The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
There are no resources that are required to be purchased for this unit. Resources will be available in the unit's Canvas site.
Risk Assessment Statement
There are no out-of-the-ordinary risks associated with the general conduct of this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.EU74 Master of Education
- Reflect on and reflexively analyse own practice, integrating theoretical frameworks to improve professional knowledge and practice.
Relates to: ULO4, Survey Design - Critically analyse and evaluate complex activities, contexts and phenomena related to professional practice and scholarship in the discipline of education.
Relates to: ULO5, Survey Design - Design and justify innovative solutions to authentic problems of educational practice, drawing on discipline-specific knowledge and skills to lead and influence positive change.
Relates to: ULO3, Survey Design - Apply theories and research methods to ethically explore educational issues/phenomena and practices.
Relates to: ULO1, ULO2, Data Project, Survey Design
Unit Outline: Semester 2 2026, Online
| Unit code: | EUN693 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | EUN691. EUN691 can be enrolled in the same teaching period as EUN693. |
| Equivalent: | EUZ693 |
| Assumed Knowledge: | It is assumed that students understand educational practices in education settings and have practitioner experiences within a related education field or support profession. |
Overview
This unit is designed to give you an introduction to a range of quantitative research methods and their application to different research questions and types of quantitative data and analysis of data. You will gain a foundational understanding of various quantitative research methods and their practical applications to diverse educational research questions. You will learn to design effective surveys, collect and analyse data, and apply statistical techniques such as univariate, bivariate, and multivariate analyses. Additionally, you will develop skills in organising and managing datasets, which is a vital component of ensuring high-quality, ethical educational research.
Learning Outcomes
On successful completion of this unit you will be able to:
- Analyse quantitative research data and interpret the results in relation to educational contexts and research problems.
- Conduct ethical quantitative research related to educational issues and practices.
- Design and justify surveys and associated plans and protocols to address problems of educational practice through the application of quantitative research methodologies.
- Reflect on survey feedback and testing to improve quantitative research practice.
- Critique survey instruments used in the field of education.
Content
This unit covers the following:
- Examples of quantitative research methods in education, and principles of ethical quantitative research
- Quantitative research questions, data collection methods and data types, including surveys
- Understanding types of descriptive and inferential statistical analyses (univariate, bivariate and multivariate)
- Principles to inform the selection of quantitative methods (data collection and statistical analysis)
- Organising and working with datasets to enable analysis focused on a research question
Learning Approaches
In this unit you will learn through engaging in the following:
- pre-recorded online videos
- tutorials (online and on-campus)
- online learning activities
- readings
- authentic assessment tasks in which you will apply scholarly knowledge to real world scenarios and in your own context.
This unit employs interactive and discussion-based learning and critical reflection on the intersection of theory and experience.
Feedback on Learning and Assessment
Feedback in this unit is provided to you in the following ways:
- a range of formative exercises discussed and undertaken throughout the unit
- feedback from peers as you investigate and discuss issues raised throughout the unit
- comments about summative assessment work included with your grade.
Assessment
Overview
There are two assessments in this unit:
1. Data Project - this task draws on quantitative analysis techniques to analyse existing research data.
2. Survey Design - this task builds on quantitative data collection methods to design and test a survey.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Data Project
You will work with existing research data to undertake quantitative analysis and critique the process. Guided by a research question, you will prepare and analyse a data set. As part of the analysis, you will critique how the data has been collected and suggest improvements for future data collection.
The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Survey Design
You will write a survey proposal that includes a scholarly background and detailed methods description. Your proposal will include your survey instrument, proposed methodological procedures.
You will test your survey instrument with peers, and then participate in a video-recorded conversation about your survey with your peers. You will reflect on the test and feedback to propose changes to the survey instrument. You will also reflect on ethical research principles, and how you used these in designing your survey. Record yourself presenting your survey proposal and reflection.
The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
There are no resources that are required to be purchased for this unit. Resources will be available in the unit's Canvas site.
Risk Assessment Statement
There are no out-of-the-ordinary risks associated with the general conduct of this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.EU74 Master of Education
- Reflect on and reflexively analyse own practice, integrating theoretical frameworks to improve professional knowledge and practice.
Relates to: ULO4, Survey Design - Critically analyse and evaluate complex activities, contexts and phenomena related to professional practice and scholarship in the discipline of education.
Relates to: ULO5, Survey Design - Design and justify innovative solutions to authentic problems of educational practice, drawing on discipline-specific knowledge and skills to lead and influence positive change.
Relates to: ULO3, Survey Design - Apply theories and research methods to ethically explore educational issues/phenomena and practices.
Relates to: ULO1, ULO2, Data Project, Survey Design