Preliminary reading list


If you wish to do some preliminary reading in advance of your MSc, please see below for the recommended reading for each module. Please note that you are not expected to read any or all of these books before arriving but they will feature on your reading lists.     


P. Alasuutari, L. Bickman, J. Brannan & J. Brannen, The SAGE Handbook of Social Research Methods (Sage, 2008)            

W. Trochim & J. Donnelly, The Research Methods Knowledge Base (3rd Ed., Cengage Learning, 2008)            

N. Gilbert, Researching Social Life (3rd Ed., Sage, 2008)            

D. Della Porta & M. Keating, Approaches and Methodologies in the Social Sciences: A Pluralist Perspective (Cambridge, 2008)            


M. Bauer & G. Gaskell, Qualitative Researching with Text, Image and Sound (Sage, 2000); U. Flick, An Introduction to Qualitative Research (Sage, 1998)            


M. De Laine, Fieldwork, participation and practice: Ethics and dilemmas in qualitative research (Sage, 2000)
K. M. DeWalt & B R DeWalt, Participant observation: A guide for fieldworkers (AltaMira, 2002)
R. M. Emerson, R I Fretz & L.L Shaw, Writing ethnographic fieldnotes (University of Chicago, 1995)            


S. Pink, Doing Sensory Ethnography (Sage, 2009)
M. Bull and L. Back (eds), Auditory Culture Reader (Berg, 2003)
G. Rose, Visual Methodologies (2nd Ed., Sage, 2006)
D. Massey, For Space (Sage, 2005)
B. Adam, Timewatch: The Social Analysis of Time (Polity, 1995)            


Many introductory statistics books are available but we particularly recommend the following:            

A. Agresti & C Franklin, Statistics: The Art and Science of Learning from Data (Pearson Education, 2009)            

A. Agresti & B Finlay, Statistical Methods for the Social Sciences (4th Ed., Pearson Education, 2009)

Please note that the second book is more advanced and is particularly useful if you are planning to do MY451 and MY452.            


A. Agresti & B Finlay, Statistical Methods for the Social Sciences (Pearson Education, 2009)            

M. Lewis-Beck, Applied Regression: An Introduction (Sage, 1980)            

J. Aldrich & F D Nelson, Linear Probability, Logit, and Probit Models (Sage, 1985)            

A. course pack will be provided at the beginning of the course and additional reading will be recommended.            


D. J. Bartholomew, F. Steele, I Moustaki & J. I Galbraith, Analysis of Multivariate Social Science Data (2nd Ed., CRC, 2008)            


R. M. Groves, F. J. Fowler, M. P. Couper, J. M. Lepkowski, E. Singer & R. Tourangeau, Survey Methodology (2nd Ed., Wiley, 2009)            


S. L. Morgan & C. Winship, Counterfactuals and Causal Inference (CUP, 2007)
J. D. Angrist & J-S Pischke, Mostly Harmless Econometrics (Princeton University, 2009)            


J. S. Long, Regression Models for Categorical and Limited Dependent Variables (Sage, 1997)            

A. Agresti, Categorical Data Analysis (2nd Ed., Wiley, 2002)            

J. S. Long & J. Freese, Regression Models for Categorical and Limited Dependent Variables using Stata (2nd Ed., Stata Press, 2006)