EDUC 7011 - Introduction to Quantitative Educational Methods
North Terrace Campus - Semester 1 - 2014
General Course Information
Course Code EDUC 7011 Course Introduction to Quantitative Educational Methods Coordinating Unit School of Education Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 2 hours per week Corequisites EDUC 7001 Educational Inquiry Course Description This course will provide students with an introduction to the use of statistics in educational research. Emphasis will be placed on students achieving an understanding of the statistical procedures considered so that they can think critically about suitable procedures for the collection and analysis of data, and about the educational usefulness of calculated statistics. Students will gain experience with using the SPSS package on computers.
Course Coordinator: Dr Igusti Darmawan
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning Outcomes
- Foster students’ understanding of the researcher’s work (model)
- Introduce students to statistics and tests used in educational research
- Introduce students to statistics programs
- Promote students’ competence and confidence in using descriptive statistics
- Promote students’ competence and confidence in using inferential statistics in general and to the use of significance in testing hypotheses in particular
- Familiarize students with some more complicated statistical tests
- Develop students’ ability to understand and master the handling of data and employ proper analyses
- Develop students’ understanding of output derived from statistical procedures and to converting such output to understandable statements in English.
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) Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. 1, 2, 3, 4, 5, 6 The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 7, 8 An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 1, 2, 3 ,4 ,5 , 6, 7 Skills of a high order in interpersonal understanding, teamwork and communication. 8 A proficiency in the appropriate use of contemporary technologies. 3 A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life. 7, 8 A commitment to the highest standards of professional endeavour and the ability to take a leadership role in the community. 1, 2, 3, 4, 5, 6, 7, 8 An awareness of ethical, social and cultural issues within a global context and their importance in the exercise of professional skills and responsibilities. 2, 5, 6, 8
Required ResourcesGreen, S.B. and Salkind, N.J. (2010) Using SPSS for Windows and Macintosh: Analyzing and Understanding Data, 6e, Boston, Prentice Hall
Recommended ResourcesThis course also consists of additional readings from a book of notes, of the statistical concepts and tests, prepared by Prof. John P. Keeves and Dr. I Gusti Ngurah Darmawan and of a set of exercises arising from the notes.
Online LearningOccasionally, the instructor may assign readings of selected chapters from statistic textbooks, which will be made available online via MyUni.
Learning & Teaching Activities
Learning & Teaching ModesA 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.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Contact time : 24 hours (12 hours lectures, 12 hours practicals)
Non-contact time : 120 hours (readings, home works, and assignments)
Learning Activities Summary
Schedule Week 1 Introduction
Assessments and Requirements
Introduction to Statistics
Data manipulation Week 2 Describing Sets of Observations and Distributions Frequencies
Week 3 Mesures of Central Tendency of a Set of Scores Descriptive Statistics part 1 Week 4 Measures of Spread of a Set of Scores Descriptive Statistics part 2 Week 5 Experimentation
The mean procedure - comparison of Groups
Week 6 Analysis of Variance Paired-Samples t-test
Week 7 Probability and inference
Analysis of Two-way Tables
Cross tabulation & Chi-square analysis Week 8 Correlation and the Association between Two Variables Scatter plots
Week 9 Linear Regression and Least Squares Analysis Simple Linear Regresion Week 10 Multiple regression analysis Multiple Linear Regression Week 11 Sampling and Estimating Error Use of AM Week 12 Presentations
Specific Course RequirementsN/A
Small Group Discovery ExperienceIn small 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. Finally, you and your team will present your findings. Use your research to justify and support the strategies used in tackling the problem.
The University'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 SummaryAssignment 1 : Practical portfolio
Type : Formative and Summative (Individual)
Due Date : at the beginning of each session
Weighting : 20%
Learning objectives : 1, 2, 3, 4, 5, 6
Assignment 2 : Group Presentation
Type : Summative (Group)
Due Date : Week 12
Weighting : 30%
Learning objectives : 3, 7, 8
Assignment 3 : Report
Type : Summative (Individual)
Due Date : Week 14
Weighting : 50%
Learning objectives : 1, 2, 3, 4, 5, 6, 7, 8
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 DetailAssessment 1: Practical Portfolio
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
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
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.
In addition, students are expected to discuss the results obtained from their analyses.
- 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 University’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.
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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