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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).