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Faculty Training Programme
FASS512 Quantitative Research Methods 2 (online distance learning)
Aims and objectives
To provide students with the opportunity to acquire:
On successful completion of this module students will be able to:
FASS508, FASS509, or an equivalent introduction to statistics. Students not taking FASS508 or FASS509 in the preceding term should contact the convenor in advance, as additional preparatory reading may be required of them.
Altman, D.G. et al. (2000), Statistics With Confidence, 2nd Ed. London, BMJ Books.
Dalgaard, P. (2008), Introductory Statistics with R, 2nd Ed. New York, Springer.
Everitt, B. (2008), Chance Rules: An Informal Guide to Probability, Risk and Statistics, 2nd Ed. New York, Springer.
Franklin, J. (2009), What Science Knows and How It Knows It, New York, Encounter Books.
Gigerenzer, G. (2002), Reckoning with Risk: Learning to Live with Uncertainty, London, Penguin.
Hubbard, D.W. (2010), How to Measure Anything: Finding the Value of Intangibles in Business, 2nd Ed. Hoboken, NJ, John Wiley.
McGrayne, S.B. (2011), The Theory That Would Not Die: How Bayes' Rule Cracked The Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy, New Haven, Yale University Press.
Paulos, J.A. (1995), A Mathematician Reads the Newspaper: Making Sense of The Numbers in the Headlines, London, Penguin.
Savage, S.L. (2009), The Flaw of Averages: Why We Underestimate Risk in the Face of Uncertainty, Hoboken, NJ, John Wiley.
Verzani, J. (2004), Using R for Introductory Statistics, Boca Raton, FL, Chapman & Hall/CRC.
NB these are not required texts - this is a background reading list.
Timing and Location
Minimum quota: 6
Maximum quota: 30
Charge to non-FASS departments: £425
Coursework and Assessment
Three short assignments (2 x 1,500; 1 x 2,000) based on analysing and interpreting data from real studies in the social sciences and humanities. The assignments will assess students' ability to input and analyse a data set in "R", choose appropriate methods for the given data set, and interpret the output from "R", having applied the chosen methods correctly and with relevance to the specific questions of interest.
Latest RTP News
New module - FASS621: Research Impact and User Engagement
The key aim of this module is to support students in their consideration of how research impact and user engagement relates to their chosen research field.
Teaching development opportunities for postgraduates
Applications are now welcomed for the teaching development opportunities for postgraduates, researchers and others involved in teaching in 2012-13. More>>
FASS Enterprise Centre events, Michaelmas Term 2012
The FASS Enterprise Centre is running a variety of events in Michaelmas Term 2012.
The RTP Administrator is located in Room C09 FASS Building. She is available to talk to students at the following times: 10.00-12.00, Monday, Wednesday and Friday. More>>
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