Models and Measurement in Quantitative Sociology
Undergraduate: Level 6
Thursday 08 October 2020
Friday 18 December 2020
14 May 2021
Requisites for this module
SC203 or GV200 or GV207 or SC208
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.
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.
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
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.
No information available.
- Field, Andy P. (2018) Discovering statistics using IBM SPSS statistics, London: SAGE.
- Field, Andy P. (2018) 'Correlation', in Discovering statistics using IBM SPSS statistics, London: SAGE.
The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.
Assessment items, weightings and deadlines
|Coursework / exam
||Data Analysis Report
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Module supervisor and teaching staff
Prof Nick Allum, email: email@example.com.
Professor Nick Allum
Jane Harper, Undergraduate Administrator, Telephone: 01206 873052
Dr Jennifer Fleetwood
Goldsmiths, University of London
Senior Lecturer in Criminology
Available via Moodle
Of 1339 hours, 0 (0%) hours available to students:
1339 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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