Quantitative Research Methods in Education

Unit Outline (Higher Education)

   
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Effective Term: 2024/05
Institute / School :Institute of Education, Arts & Community
Unit Title: Quantitative Research Methods in Education
Unit ID: EDMED7057
Credit Points: 15.00
Prerequisite(s): Nil
Co-requisite(s): Nil
Exclusion(s): Nil
ASCED: 070303
Other Change:  
Brief description of the Unit

This unit introduces students to the core quantitative research methodologies within educational research. At the end of the unit, students will be able to apply the processes involved in conducting quantitative and mixed methods research, in particular forming a hypothesis, selecting and justifying methods of data collection, analysis and interpretation, specifically data generated in the context of Australian education sectors. Core research methods covered include experimental and correlational research designs. Students will acquire an understanding of the use of statistics in research. Ethical considerations from initial data collection through to data analysis and transparency in reporting are emphasised and guidelines considered. Students will be able to identify and access existing statistical data sets relevant to educational research. They will understand the purpose of undertaking a literature review before commencing a research project, develop literature search skills and examine literature for its assumptions and biases. Student will learn about the  peer review process – how it works and why it is important. Students will also develop their academic reading and writing ability to a graduate standard through critical reading of quantitative research in the field of education and writing tasks preparing them for their Professional Inquiry or Minor Thesis projects.

Grade Scheme: Graded (HD, D, C, P, MF, F, XF)
Work Experience Indicator:
No work experience
Placement Component: No
Supplementary Assessment:Yes
Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment
Course Level:
Level of Unit in CourseAQF Level(s) of Course
5678910
Introductory                                                
Intermediate                                        
Advanced                                                
Learning Outcomes:
Knowledge:
K1.

Examine and apply the conventions of academic reading and writing in quantitative educational research

K2.

Distinguish how research questions and research designs are linked

K3.

Connect data collection and types to their appropriate statistical analysis

K4.

Prioritise ethical approaches in quantitative research with reference to published guidelines

K5.

Evaluate research designs often used in educational research, e.g. correlational research, interventions with treatments, controls, instruments and model development

Skills:
S1.

Analyse data using inferential and descriptive statistics, including evaluations of effect size

S2.

Critically engage with existing bodies of knowledge in a specialist field of education

S3.

Develop initial research skills, e.g. forming a hypothesis and research question, finding relevant research

Application of knowledge and skills:
A1.

Read and write academically at a high level, e.g. on a research topic in a chosen area of educational specialisation

A2.

Critically evaluate published research in a specialised field of education

A3.

Collect data via a quantitative instrument (e.g. survey) and apply appropriate statistical analysis

A4.

Analyse and present findings honestly and transparently

Unit Content:

Topics may include:           The structure of research papers Academic reading and writing The relationship between research, theory and practice How to develop a ‘researchable’ question or topic When to choose a quantitative technique How to collect statistical data via surveys Sampling techniques Drawing conclusions from statistical analyses and acknowledging limitations.   What constitutes research (e.g. the ARC definition) and what counts as sound evidence in the development of policy and practice The responsibility of researchers to present their findings honestly

Graduate Attributes:
 Learning Outcomes AssessedAssessment TasksAssessment TypeWeighting
1.K1, K2, K3, S1, S2, S3, A2

Mid-term quiz

Quiz

30-40%

2.K1, K2, K3, K4, K5, S1, S2, S3, A1, A2, A3, A4

Construct a short survey on a chosen research question, administer amongst classmates, and analyse the data using appropriate statistical analyses.

Written report

60-70%

Adopted Reference Style:
APA  ()

Professional Standards / Competencies:
 Standard / Competency