EDUC 7065 - Mixed Methods Research

North Terrace Campus - Semester 2 - 2022

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.

  • General Course Information
    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
    Course Description 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.
    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 Planner.

  • Learning Outcomes
    Course Learning Outcomes
    1. Explain and discuss the qualitative and Quantitative Research Design
    2. Elucidate basic Qualitative and Quantitative analytical concepts used in educational research
    3. Use computer programs associated with Qualitative or Quantitative data analysis
    4. Demonstrate their competence and confidence in collecting, organising, and analysing both Qualitative and Quantitative data
    5. Demonstrate the ability to work in group and to communicate the findings in multiple formats to different stakeholders.
    University Graduate Attributes

    This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

    University Graduate Attribute Course Learning Outcome(s)

    Attribute 1: Deep discipline knowledge and intellectual breadth

    Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.

    1,2,3,4,5

    Attribute 2: Creative and critical thinking, and problem solving

    Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.

    1,4,5

    Attribute 3: Teamwork and communication skills

    Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.

    5

    Attribute 4: Professionalism and leadership readiness

    Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.

    4,5

    Attribute 5: Intercultural and ethical competency

    Graduates are responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society.

    5

    Attribute 6: Australian Aboriginal and Torres Strait Islander cultural competency

    Graduates have an understanding of, and respect for, Australian Aboriginal and Torres Strait Islander values, culture and knowledge.

    4

    Attribute 7: Digital capabilities

    Graduates are well prepared for living, learning and working in a digital society.

    3

    Attribute 8: Self-awareness and emotional intelligence

    Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.

    1,4,5
  • Learning & Teaching Activities
    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


  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. 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
    1. Students must retain a copy of all assignments submitted.
    2. All individual assignments must be attached to an Assignment Cover Sheet which must be signed and dated by the student before submission.
    3. 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.
    4. Markers can refuse to accept assignments which do not have a signed acknowledgement of the University’s policy on plagiarism (refer to policy on plagiarism above).
    5. 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 Access Adelaide.

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    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

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