EDUC 7065 - Mixed Methods Research

North Terrace Campus - Semester 2 - 2021

In Introduction to Education Research students will be introduced to qualitative and quantitative methodologies, theoretical perspectives and methods. Emphasis will be on understanding the suitability of various qualitative and quantitative methods used to collect and analyse data. The course will enable student to critically evaluate the suitability of various approaches to the design of their own research projects.

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Course Details

Course Code	EDUC 7065
Course	Mixed Methods Research
Coordinating Unit	School of Education
Term	Semester 2
Level	Postgraduate Coursework
Location/s	North Terrace Campus
Units	3
Contact	36 hours intensive
Available for Study Abroad and Exchange	N
Incompatible	EDUC 7011
Assessment	Short answer question 40%; Quiz 10%; Report 50%

Course Staff

Course Coordinator: Dr Igusti Darmawan

Name : Dr. I Gusti Ngurah Darmawan
Location : Room 834, Level 8, 10 Pulteney Street
Telephone : +618 8313 5788 (work)
Email : igusti.darmawan@adelaide.edu.au

Course Timetable

The full timetable of all activities for this course can be accessed from .

Course Learning Outcomes

Explain and discuss the qualitative and Quantitative Research Design
Elucidate basic Qualitative and Quantitative analytical concepts used in educational research
Use computer programs associated with Qualitative or Quantitative data analysis
Demonstrate their competence and confidence in collecting, organising, and analysing both Qualitative and Quantitative data
Demonstrate the ability to work in group and to communicate the findings in multiple formats to different stakeholders.

最新糖心Vlog Graduate Attribute	Course Learning Outcome(s)
Deep discipline knowledge informed and infused by cutting edge research, scaffolded throughout their program of studies acquired from personal interaction with research active educators, from year 1 accredited or validated against national or international standards (for relevant programs)	1,2,3,4,5
Critical thinking and problem solving steeped in research methods and rigor based on empirical evidence and the scientific approach to knowledge development demonstrated through appropriate and relevant assessment	1,2,3,4,5
Teamwork and communication skills developed from, with, and via the SGDE honed through assessment and practice throughout the program of studies encouraged and valued in all aspects of learning	5
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	5
Intercultural and ethical competency adept at operating in other cultures comfortable with different nationalities and social contexts able to determine and contribute to desirable social outcomes demonstrated by study abroad or with an understanding of indigenous knowledges	1,5
Self-awareness and emotional intelligence a capacity for self-reflection and a willingness to engage in self-appraisal open to objective and constructive feedback from supervisors and peers able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate	5

Learning & Teaching Modes

No information currently available.

Workload

No information currently available.

Learning Activities Summary

Assessment Summary
Week	Topic	Tasks
1	Preparation for Intensive 1	Discussion Forum: Qualitative Research Papers
2	Preparation for Intensive 1	Discussion Forum: Qualitative Methods
Intensive 1	Day 1: What is Research Qualitative Methods (1) Day 2: What are Theoretical Perspective Qualitative Methods (2)
4	Post Intensive 1 activities	Assignment 1: Qualitative Report
5	Preparation for Intensive 2	Assignment 2a: Working with SPSS
Intensive 2	Day 1 Descriptive Statistics: categorical and continuous data Making Comparison: using t-tests and ANOVA Day 2: Examining Association: Chi-Square and Correlation Making Prediction: Regression
7	Post Intensive 2 activities	Assignment 2b: Descriptive Statistics
8		Assignment 2c: Making Comparison
9		Assignment 2d: Examining Association
10		Assignment 2e: Making Predictions
11		Assignment 3: Quantitative Report
12		Assignment 3: Quantitative Report submission

The 最新糖心Vlog's policy on Assessment for Coursework Programs is based on the following four principles:

Assessment must encourage and reinforce learning.
Assessment must enable robust and fair judgements about student performance.
Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
Assessment must maintain academic standards.

Assessment Summary

Assignment 1 : Qualitative Research Report
Type : Summative
Due Date : Week 5
Weighting : 40%
Learning objectives : 1, 2, 3, 4, 5

Assignment 2 : Practical portfolio
Type : Formative and Summative
Due Date : Weeks, 5, 6, 7, 8, 9
Weighting : 10%
Learning objectives : 1, 2, 3, 4, 5

Assignment 3 : Quantitative Report
Type : Summative
Due Date : Week 12
Weighting : 50%
Learning objectives : 1, 2, 3, 4, 5

Assessment Detail

Assignment 2: Qualitative Research Report (40%)
This assessment is in 2 parts. Write approximately 1,000 words (excluding references) on each topic.
1. Define and compare two different types of data analysis methods used in qualitative research.
The Discussion Forum in Week 2 on Qualitative Methods, and the Presentations on Qualitative Methods in Intensive 1 are intended to assist you with this question.
2. What are the advantages and disadvantages of qualitative methodology in educational research?
The Discussion Forum in Week 1 on Qualitative Research Papers is intended to help you to answer this question.

Assessment 2: Practical Portfolio (10%)
You are required to respond to 5 set of questions to show your competence in working with statistical programs by preparing a portfolio of assignment from practicals

Assignment 3: Quantitative Report (50%)
The assignment involves the construction of a data file and the analysis of the data from that requires:
a) calculation of descriptive statistics
b) making comparisons using t-tests or the analysis of variance
c) examining associations utilising correlations between variables or a set of variables
d) making predictions with multiple regression analysis
using SPSS or other computer programs.
In addition, students are expected to discuss the results obtained from their analyses.

Submission

Students must retain a copy of all assignments submitted.
All individual assignments must be attached to an Assignment Cover Sheet which must be signed and dated by the student before submission.
All group assignments must be attached to a Group Assignment Cover Sheet which must be signed and dated by all group members before submission. All team members are expected to contribute approximately equally to a group assignment.
Markers can refuse to accept assignments which do not have a signed acknowledgement of the 最新糖心Vlog’s policy on plagiarism (refer to policy on plagiarism above).
Requests for extensions will be considered only if they are made three days before the due date for which the extension is being sought. Students must apply to the lecturer concerned on the ‘Application for Extension’ form at the back of the Academic Program Handbook.

Course Grading

Grades for your performance in this course will be awarded in accordance with the following scheme:

M10 (Coursework Mark Scheme)
Grade	Mark	Description
FNS		Fail No Submission
F	1-49	Fail
P	50-64	Pass
C	65-74	Credit
D	75-84	Distinction
HD	85-100	High Distinction
CN		Continuing
NFE		No Formal Examination
RP		Result Pending

Further details of the grades/results can be obtained from Examinations.

Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

Final results for this course will be made available through .

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