Research Methods II

10 Units

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.

Faculty Faculty of Business and Law
School Newcastle Business School
Availability Trimester 1 - 2016 (WebLearn GradSchool)
Trimester 3 - 2016 (WebLearn GradSchool)
Learning Outcomes

On successful completion of this course, students will be able 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.

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
Assumed Knowledge Appropriate undergraduate degree or 60 units of the DBA program.
Assessment Items
  • Report: Report on inferential statistics and hypothesis testing
  • Written Assignment: Quantitative Research Study
  • Formal Examination: Final Examination
Contact Hours
  • Lecture: for 3 hour(s) per Week for Full Term (Online: as per course requirements)
Timetable 2016 Course Timetables for GSBR6202
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