Available in 2013
| Callaghan Campus | Trimester 1, Trimester 3 |
|---|---|
| HKMA - Hong Kong | Block 5 |
| WebLearn GradSchool | Trimester 1, Trimester 3 |
Previously offered in 2012, 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. |
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| 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 |
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| 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 |
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| Teaching Methods | Lecture | ||||||||
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| Contact Hours | Lecture: for 3 hour(s) per Week for Full Term | ||||||||
| Timetables | 2013 Course Timetables for GSBR6202 |