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Department: Doctor of Philosophy in Project Management
Module Description: This module introduces students to, and familiarises them with, a wide range of methods of data collection, analysis and interpretation. It will consider the strengths and weaknesses of experimental, quasi-experimental approaches, the proposal and testing of hypotheses and the suitability of such methods. It will introduce students to a range of descriptive and inferential statistical techniques used for interpreting numerical data.
Key indicative readings
- Barrett, P. S. and Barrett, L. C. (2003). Research as a kaleidoscope on practice, Construction Management and Economics, vol. 21, pp. 755-766.
- Carter, G. (2001). Learning research methods with SPSS. Australia: Hartcourt College Publishers.
- Creswell, J.W. (2018). Research design: qualitative, quantitative, and mixed methods approaches. 5th edn. Los Angeles, CA: Sage.
- Kinnear, P. R. and Gray, C. D. (2008). SPSS 15 made simple. New York: Psychology Press.
- Mann, P. S. (2015). Introductory statistics. 9th edn. New Jersey: John Wiley & Sons.
- Milosevic, D. Z. & Arnold, J. C. (2003). Introduction to probability and statistics: principles and applications for engineering and the computing sciences. 4th edn. Boston: McGraw-Hill.
- VanderStoep, S.W. & Johnstond, D. D. (2009). Research methods for everyday life: blending qualitative and quantitative approaches. New Jersey: John Wiley & Sons.