Module SOC2094 for 2016/7
- Overview
- Aims and Learning Outcomes
- Module Content
- Indicative Reading List
- Assessment
Undergraduate Module Descriptor
SOC2094: Data Analysis in Social Science III
This module descriptor refers to the 2016/7 academic year.
Indicative Reading List
This reading list is indicative - i.e. it provides an idea of texts that may be useful to you on this module, but it is not considered to be a confirmed or compulsory reading list for this module.
Basic reading:
D.J.Bartholomew et al., Analysis of Multivariate Social Science Data, 2nd ed, Chapman and Hall/CRC (2008).
Supplementary reading:
I.Borg & P.Groenen, Modern Multidimensional Scaling: Theory and Applications, 2nd ed, Springer (2005).
B.Everitt & T.Hothorn, An Introduction to Applied Multivariate Analysis with R, Springer (2011)
M.Greenacre, Correspondence Analysis in Practice, 2nd ed., Chapmand and Hall/CRC (2011).
S.A.Mulaik, Foundations of Factor Analysis, 2nd ed. Chapman and Hall/CRC (2010).
P.Spector, Data Manipulation with R, Springer (2008).
A.Unwin, Graphical Data Analysis with R, CRC Press (2015).
N.Matloff, The Art of R Programming, No Starch Press (2011).
W.Chang, R Graphics Cookbook, O’Reilly (2013).
Basic reading:
Alan Agresti and Barbara Finlay, Statistical Methods for the Social Sciences, 4th ed., Pearson (2009).
D.J.Bartholomew et al., Analysis of Multivariate Social Science Data, 2nd ed, Chapman and Hall/CRC (2008).
Supplementary reading:
John Fox, Applied Regression Analysis and Generalized Linear Models, 2nd ed., Sage (2008).
John Fox and Sanford Weisberg, An R Companion to Applied Regression, 2nd ed., Sage (2011).
Andrew Gelman and Jennifer Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press (2007).
Jeffrey Wooldridge, Introductory Econometrics: A Modern Approach, 5th ed., Cengage (2013).Donald J. Treiman, Quantitative Data Analysis: Doing Social Research to Test Ideas, John Wiley and Sons (2009).
I.Borg & P.Groenen, Modern Multidimensional Scaling: Theory and Applications, 2nd ed, Springer (2005).
B.Everitt & T.Hothorn, An Introduction to Applied Multivariate Analysis with R, Springer (2011)
M.Greenacre, Correspondence Analysis in Practice, 2nd ed., Chapmand and Hall/CRC (2011).
S.A.Mulaik, Foundations of Factor Analysis, 2nd ed. Chapman and Hall/CRC (2010).
P.Spector, Data Manipulation with R, Springer (2008).
A.Unwin, Graphical Data Analysis with R, CRC Press (2015).
N.Matloff, The Art of R Programming, No Starch Press (2011).
W.Chang, R Graphics Cookbook, O’Reilly (2013).