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GSBR6202

Research Methods II

10 Units 6000 Level Course

Available in 2012

Callaghan CampusSemester 1, Semester 2
HKMA - Hong KongBlock 5
WebLearn GradSchoolTrimester 2

Previously offered in 2013, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004

Examines theoretical and practical aspects of quantitative methods in business research. The purpose of this course is to equip students with skills necessary for the development and implementation of their own research dissertation based on quantitative methods. Students will have the opportunity to use state-of-the-art statistical software and apply established quantitative methods, thus gaining some experience in data analysis techniques. The course emphasises the critical evaluation of survey research designs and data analysis techniques to enable students to better appreciate the strengths and weaknesses of quantitative research strategies.

Objectives
The objectives of this course are to enable students to:
1. Demonstrate a sound understanding of the scientific method as it relates to quantitative research;
2. Outline and apply the principles of hypothesis testing;
3. Develop appropriate analytical strategies to test specific hypothesis;
4. Use the statistical software package PASW to support and enrich quantitative research
5. Report statistical findings, their meaning, and related recommendations in a clear and concise fashion.
Content
Module 1 Introduction to Quantitative Research
1. Data and Variables
2. The Nature of Quantitative Research
3. Descriptive and Influential Statistics
4. Sampling
5. Designing and Coding Questionnaires
6. Data Entry and Screening

Module 2 Basic Tests of Association and Difference
1. Hypothesis Testing
2. Association: Correlation Coefficients
3. Bivariate Regression
4. Association - Chi-square Tests
5. Difference: t-tests
6. Difference: ANOVA
7. Reliability, Validity and Rigour
8. Reporting a Quantitative Study

Module 3 Multivariate Analysis
1. Multiple Linear Regression Factor Analysis
2. Moderation
3. Mediation
4. If appropriate, other multivariate techniques as selected by the lecturer
Replacing Course(s)
N/A
Transition
N/A
Industrial Experience
0
Assumed Knowledge
Appropriate undergraduate degree or 60 units of the DBA program.
Modes of Delivery
Distance Learning : IT Based
Flexible Delivery / Student Centred Learning
Internal Mode
Teaching Methods
Lecture
Assessment Items
Essays / Written Assignments
Examination: Formal
Laboratory Exercises
Quiz - On-line
For online students only
Contact Hours
Lecture: for 3 hour(s) per Week for Full Term

Timetables