EDUC 7011 - Introduction to Quantitative Methods

North Terrace Campus - Semester 1 - 2019

This course provides an introduction to the use of quantitative methods in research. Emphasis will be on achieving an understanding of quantitative methods and associated statistical techniques considered so that you can think critically about suitable procedures for research design, collection and analysis of data, and the usefulness of statistics. Students will gain experience with using the SPSS package on computers.

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Course Details

Course Code	EDUC 7011
Course	Introduction to Quantitative Methods
Coordinating Unit	School of Education
Term	Semester 1
Level	Postgraduate Coursework
Location/s	North Terrace Campus
Units	3
Contact	Up to 3 hours per week
Available for Study Abroad and Exchange	Y
Prerequisites	EDUC 7054
Corequisites	EDUC 7001/EDUC 7001NA or EDUC 7054/EDUC 7054NA if not meeting the prerequisite
Assessment	Practical portfolio 20%, Group presentation 30%, Report 50%

Course Staff

Course Coordinator: Dr Igusti Darmawan

Name	Dr. I Gusti Ngurah Darmawan
Location	Room 834, 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 .

Course Learning Outcomes

On successful completion of this course students will be able to:

1	Explain and discuss the researcher’s work (model)
2	Elucidate basic statistical concepts and tests used in educational research
3	Use statistics programs
4	Demonstrate their competence and confidence in using descriptive statistics
5	Demonstrate their competence and confidence in using inferential statistics in general and to the use of significance testing in particular
6	Understand and master the handling of data and employ proper analyses
7	Use output derived from statistical procedures and convert such output to understandable statements in English

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, 6, 7
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	7
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	6, 7
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
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	1, 7

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.

Workload	Total Hours
1 x 2-hour lecture per week	24 hours per semester
1 x 1-hour practical per week	12 hours per semester
4 hours reading per week	48 hours per semester
2 hours research per week	24 hours per semester
4 hours assignment preparation per week	48 hours per semester
	Total = 156 hours per semester

Learning Activities Summary

Week	Lecture Topic
1	Introduction
2	Describing set of observations and distributions
3	Measures of spread of a set of scores
4	One sample t-test
5	Paired samples t-test
6	Independent samples t-test
7	ANOVA
8	Analysis of two-way tables (Chi-square analysis)
9	Correlation
10	Simple Linear Regression
11	Multiple Regression
12	Path Analysis using multiple regression

Specific Course Requirements

N/A

Small Group Discovery Experience

In small collaborative groups (assignment 2), students will be required to develop an educational policy for a given problem. Initially, as a group, students will need to search for background information to the problem including the availability of the data required and to choose relevant and appropriate statistical procedures. Finally, each team will present their findings. Students should use their research to justify and support the strategies used in tackling the problem.

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

Assessment Task	Task Type	Due	Weighting	Learning Outcome
Practical Portfolio	Formative/Summative	Weekly assignments for the first five weeks, Sunday, 5pm	20%	1, 2, 3, 4, 5, 6, 7
Group Presentation	Summative	Week 12, during the class time	30%	1, 2, 3, 4, 5, 6, 7
Report	Summative	Week 14, Friday, 5pm	50%	1, 2, 3, 4, 5, 6, 7

Assessment Related Requirements

Students are required to attend all practicals.
Criteria that will be used to assess students’ work will be distributed and discussed in class
To gain a pass, a mark of at least 50% must be obtained on ALL assessed components as well as a total of at least 50% overall.

Assessment Detail

Assessment 1: Practical Portfolio – 20% weighting
Each session you are required to respond to a set of questions and utilise discussion board for sharing and critiquing statistical ideas as well as to reflect on what you have done for the day.
In addition, students are required to show competence in working with statistical programs by preparing a portfolio of assignment from practicals.

Assignment 2: Group Presentation – 30% weighting
In collaborative groups you will be required to develop an educational policy for a given problem. Initially, as a group, you will need to search for background information to the problem including the availability of the data required. You and your group should choose relevant and appropriate statistical procedures. A complete dataset will be provided, but you will need to make a fully informed decision on which part of the data will be used. Finally, you and your team will present your findings. Use your research to justify and support the strategies used in tackling the problem.

Assignment 3: Report – 50% weighting
The assignment involves the construction of a data file and the analysis of the data from a school that requires:
(a) calculation of descriptive statistics
(b) correlations between variables or a set of variables
(c) one-way analysis of variance
(d) multiple regression analysis
using SPSS or other computer programs.

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 .

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.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
Fraud Awareness

Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.

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Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

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