Models and Measurement in Quantitative Sociology
Undergraduate: Level 6
Thursday 08 October 2020
Friday 18 December 2020
29 June 2020
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.
Please note that assessment information is currently showing for 2019-20 and will be updated in September.
No information available.
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
||Data Analysis exercise
Module supervisor and teaching staff
Prof Nick Allum, email: email@example.com.
Professor Nick Allum
Jane Harper, Undergraduate Administrator, Telephone: 01206 873052
No external examiner information available for this module.
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).
* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.
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