Undergraduate Module Descriptor

SOC2094: Data Analysis in Social Science III

This module descriptor refers to the 2016/7 academic year.

How this Module is Assessed

In the tables below, you will see reference to 'ILO's. An ILO is an Intended Learning Outcome - see Aims and Learning Outcomes for details of the ILOs for this module.

Formative Assessment

A formative assessment is designed to give you feedback on your understanding of the module content but it will not count towards your mark for the module.

Form of assessment	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
Formative statistical assignments in class	About 20 minutes each	1-5, 7	Peer and tutor verbal feedback

Summative Assessment

A summative assessment counts towards your mark for the module. The table below tells you what percentage of your mark will come from which type of assessment.

Coursework	Written exams	Practical exams
100	0	0

...and this table provides further details on the summative assessments for this module.

Form of assessment	% of credit	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
Final statistical report	100	4,000 words + tables and figures	1-7	Written feedback
	0
	0

Re-assessment

Re-assessment takes place when the summative assessment has not been completed by the original deadline, and the student has been allowed to refer or defer it to a later date (this only happens following certain criteria and is always subject to exam board approval). For obvious reasons, re-assessments cannot be the same as the original assessment and so these alternatives are set. In cases where the form of assessment is the same, the content will nevertheless be different.

Original form of assessment	Form of re-assessment	ILOs re-assessed	Timescale for re-assessment
Statistical report	Statistical report (4,000 words)	1-7	August/September assessment period

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, 4^th ed., Pearson (2009).~~

D.J.Bartholomew et al., Analysis of Multivariate Social Science Data, 2^nd ed, Chapman and Hall/CRC (2008).

Supplementary reading:

~~John Fox, Applied Regression Analysis and Generalized Linear Models, 2^nd ed., Sage (2008).~~

~~John Fox and Sanford Weisberg, An R Companion to Applied Regression, 2^nd 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, 5^th 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, 2^nd ed., Chapmand and Hall/CRC (2011).

S.A.Mulaik, Foundations of Factor Analysis, 2^nd 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).