EDUC 7021 - Quantitative Approaches to Research
North Terrace Campus - Semester 1 - 2024
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General Course Information
Course Details
Course Code EDUC 7021 Course Quantitative Approaches to Research Coordinating Unit School of Education Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Two intensive blocks of 15 hours each plus structured online activities Available for Study Abroad and Exchange Y Assumed Knowledge EDUC 7065 Assessment Practical portfolio 30%, Report 1 35%, Report 2 35% Course Staff
Course Coordinator: Dr Igusti Darmawan
Name Dr. I Gusti Ngurah Darmawan Location Room 831, Level 8, 10 Pulteney Street Telephone 8313 5788 Email igusti.darmawan@adelaide.edu.au Course Website Course Timetable
The full timetable of all activities for this course can be accessed from .
Intensive #1
Friday 23 February 2024 in Nexus10, 228, Computer Suite 9am - 5pm
Saturday 24 February 2023 in Nexus10, 228, Computer Suite 9am - 5pm
Intensive #2Friday 24 May 2024 in Nexus10, 228, Computer Suite 9am - 5pm
Saturday 25 May 2024 in Nexus10, 228, Computer Suite 9am - 5pm -
Learning Outcomes
Course Learning Outcomes
1 Foster students’ understanding of the researcher’s work (model) 2 Introduce students to procedures for collecting and storing of data in educational research 3 Introduce students to procedures for analysis of multivariate and multilevel data 4 Promote students’ competence and confidence in using computer based procedures for the data analysis 5 Develop students’ ability to understand and master the handling of data and employ proper analyses 6 Develop students’ understanding of output derived from statistical procedures and to converting such output to understandable statements in English 最新糖心Vlog Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
最新糖心Vlog 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.
4,5,6 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.
6 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.
1,4,6 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.
5,6 Attribute 6: 最新糖心Vlogn Aboriginal and Torres Strait Islander cultural competency
Graduates have an understanding of, and respect for, 最新糖心Vlogn Aboriginal and Torres Strait Islander values, culture and knowledge.
6 Attribute 7: Digital capabilities
Graduates are well prepared for living, learning and working in a digital society.
4 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.
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Learning Resources
Required Resources
No Specific text book is required.Recommended Resources
Keeves, J.P. (ed.) (1997) Educational Research, Methodology, and Measurement: An International Handbook. (2nd Edn) Oxford: Pergamon
Hair, J.F., Black, W.C., Babin, B.J., and Anderson, R.E. (2018) Multivariate Data Analysis: Pearson New International Edition (8th edition), England: United Kingdom, CENGAGEOnline Learning
Each week, the instructor will assign readings of selected chapters from statistic textbooks, which will be made available online via MyUni. -
Learning & Teaching Activities
Learning & Teaching Modes
A balance between ‘student centred’ and ‘teacher centred’ approaches to learning with emphasis on fostering an engaging learning pedagogy will be used in this course. Lectures will be supported by discussions and problem-solving practicals using statistical programs which will require active participation from students.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Contact time : 30 hours
Non-contact time : 100 hours (readings, home works, and assignments)Learning Activities Summary
Please note Intensive 1 will be held on Friday 28 February 2020 and Saturday 29 February 2020 9 am - 5 pm.
Class Day Topic Practical 1 Day1: Session 1 Introduction to Multivariate and Multilevel Analysis
Correlational Procedures in Data AnalysisAggregation and disaggregation effects on Descriptive Statistics and Correlation coefficients 2 Day1 : Session 2 Handling of missing values SPSS:
Single Imputation
Multiple Imputation3 Day 1: Session 3 Least Square Analysis vs Maximum Likelihood
The use of AMOSIntroduction to AMOS
SPSS: Regression
AMOS: Regression4 Day 2: Session 1 Cluster Analysis SPSS: Cluster Analysis 5 Day 2: Session 2 Exploratory Factor Analysis SPSS EFA 6 Day 2: Session 3 Confirmatory Factor Analysis AMOS: CFA 7 Day 3: Session 1 Path Analysis 1 SPSS: Path Analysis 8 Day 3: Session 2 Path Analysis 2 AMOS: Path Analysis 9 Day 3: Session 3 Structural Equation Modelling AMOS: SEM 10 Day 4: Session 1 Hierarchical Linear Modelling 1 HLM 11 Day 4: Session 2 Hierarchical Linear Modelling 2 HLM 12 Day 4: Session 3 Growth Modelling HLM Specific Course Requirements
N/A -
Assessment
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 : Practical portfolio
Type : Formative and Summative (Individual)
Due Date : The following session
Weighting : 20%
Learning objectives : 1, 2, 4, 6
Assignment 2 : Report 1
Type : Summative (Individual)
Due Date : After Intensive 1
Weighting : 40%
Learning objectives : 1, 3, 5, 6
Assignment 3 : Report 2
Type : Summative (Individual)
Due Date : After Intensive 2
Weighting : 40%
Learning objectives : 1, 3, 5, 6Assessment Detail
Assessment 1: Practical Portfolio
Students are required to show competence in working with multivariate and multilevel data. There will be hands-on activities every week, and students are required to submit their works by the beginning of the next class.
Assignments 2 and 3: Reports 2 and 3
You are required to show competence in analysing data using at least two data analysis procedures. You can use your own dataset or one of those made available in the course, or with special permission, a dataset of your choosing. You will need to:
• Formulate one or more research questions to address
• Specify hypotheses that you will test empirically
• Identify statistical methods appropriate for your data and analysis
• Conduct the analyses
• Interpret the results of your statistical analyses in terms of the research questions and hypotheses you defined at the onset of the study.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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Student Feedback
The 最新糖心Vlog places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
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 最新糖心Vlog 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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Student Support
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
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- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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