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Unit outline_

EDPK5002: Quantitative Methods

Semester 2, 2023 [Online] - Camperdown/Darlington, Sydney

This unit introduces students to the major issues underpinning quantitative research in applied fields such as education and social work. It examines the relationship between research questions and appropriate study designs, as well as ethical considerations. Students will develop a broad-based understanding of a range of quantitative methods and their strengths and limitations.

Unit details and rules

Academic unit Education
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Nicole Mockler, nicole.mockler@sydney.edu.au
Type Description Weight Due Length
Assignment Assignment 1: Critical Appraisal
Critical appraisal of quantitative research related to students' research.
40% Week 07
Due date: 15 Sep 2023 at 23:59
2500 words
Outcomes assessed: LO1 LO2 LO3
Assignment Assignment 2: Methdological Overview and Rationale
Methodological overview and rationale for proposed research study.
60% Week 13
Due date: 03 Nov 2023 at 23:59
3500 words
Outcomes assessed: LO1 LO2 LO3 LO4

Assessment summary

Students are required to complete a critical appraisal of self-identified peer reviewed research relevant to their research interests, and to complete a methodological overview and rationale for their proposed study. Detailed information for each assessment task can be found on Canvas.

Assessment criteria

Result name

Mark range

Description

High distinction

85 - 100

Learning outcomes of the unit are met to an exceptional standard.

Distinction

75 - 84

Learning outcomes of the unit are met to a very high standard.

Credit

65 - 74

Learning outcomes of the unit are met to a good standard.

Pass

50 - 64

Learning outcomes of the unit are met to an acceptable standard.

Fail

0 - 49

Learning outcomes of the unit are not met to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website  provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.  

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Introduction to quantitative methods in social research Online class (2 hr) LO1 LO2 LO3 LO4
Week 02 Experimental and quasi-experimental design Online class (2 hr) LO1 LO2 LO3 LO4
Week 03 Survey Design Online class (2 hr) LO1 LO2 LO3 LO4
Week 04 Quantitative analysis of large textual and administrative data sets Online class (2 hr) LO1 LO2 LO3 LO4
Week 05 Single subject design Online class (2 hr) LO1 LO2 LO3 LO4
Week 06 Scale development using exploratory and confirmatory factor analysis Online class (2 hr) LO1 LO2 LO3 LO4
Week 07 Introduction to Rasch theory Online class (2 hr) LO1 LO2 LO3 LO4
Week 08 Structural equation modelling Online class (2 hr) LO1 LO2 LO3 LO4
Week 10 Person-centred analyses: cluster and latent profile analyses Online class (2 hr) LO1 LO2 LO3 LO4
Week 11 Growth models Online class (2 hr) LO1 LO2 LO3 LO4
Week 12 Meta-analysis Online class (2 hr) LO1 LO2 LO3 LO4
Week 13 Making methodological decisions in your research Online class (2 hr) LO1 LO2 LO3 LO4

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Reading List, available on Canvas.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. Understand how researchers make critical decisions about research methods, including the role of researchers' ontological and epistemological perspectives, conceptual and theoretical frameworks, and research questions
  • LO2. Understand the strengths and limitations of a range of different quantitative research methods and approaches
  • LO3. Understand the ethical implications of different research methods and researchers’ corresponding responsibilities
  • LO4. Apply a broad appreciation of quantitative methods to your own proposed research study

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

This unit was completely redesigned for 2020, specifically with the needs and requirements of Higher Degree by Research Students in mind. It has undergone minor scheduling revisions for 2023.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.