SC385-6-AU-CO:
Models and Measurement in Quantitative Sociology

The details
2020/21
Sociology
Colchester Campus
Autumn
Undergraduate: Level 6
Current
Thursday 08 October 2020
Friday 18 December 2020
15
29 June 2020

 

Requisites for this module
SC203 or GV200 or GV207 or SC208
(none)
(none)
(none)

 

(none)

Key module for

(none)

Module description

The first term of the module begins with simple OLS regression and provides a framework for modelling strategy and variable selection. Students are then taken through extensions to the basic OLS model, with categorical predictors, interactions and non-linear terms. Next, we introduce models for categorical outcomes: binary logistic and multinomial logit. The term concludes with a discussion of practical topics in data analysis - how to deal with complex sample designs, weighting and non-response adjustments.

Module aims

This module will develop students' understanding of quantitative analysis and impart the practical skills necessary for carrying out advanced statistical analysis of social data using modern statistical software.

Module learning outcomes

By the end of course students should be able to:

understand the principles and practice of statistical modelling
critically evaluate research articles that use statistics
understand the link between substantive theory, measurement and statistical models
carry out intermediate and advanced statistical analysis using SPSS and other software

Module information

If you wish to take this module but have not taken the second year module 'Researching Social Life II' (SC203-5-FY), please contact the module supervisor to see if you have the appropriate background in statistics.

Please note that assessment information is currently showing for 2019-20 and will be updated in September.

Learning and teaching methods

No information available.

Bibliography*

This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework   Class Test     30% 
Coursework   Data Analysis exercise    70% 

Overall assessment

Coursework Exam
100% 0%

Reassessment

Coursework Exam
100% 0%
Module supervisor and teaching staff
Prof Nick Allum, email: nallum@essex.ac.uk.
Professor Nick Allum
Jane Harper, Undergraduate Administrator, Telephone: 01206 873052 E-mail: socugrad@essex.ac.uk

 

Availability
Yes
Yes
No

External examiner

No external examiner information available for this module.
Resources
Available via Moodle
Of 32 hours, 11 (34.4%) hours available to students:
21 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information
Sociology

* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.

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