Quantitative Research Methods (SOCS0035)

Key information

Faculty: IOE
Teaching department: Social Research Institute
Credit value: 15

Restrictions: This module is only available to students on BSc Social Sciences and BSc Sociology.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

The module aims to give students a solid understanding of the principles and practice of quantitative research methods. The emphasis is on the application of statistical models to large-scale datasets and the interpretation of the results. It builds on the first-year modules Introduction to Social Science Research and Discovering Qualitative and Quantitative Methods. During the first six weeks, the module introduces the principles and practice of data handling, a review of probability and statistics, comparison of two groups with t- and non-parametric tests, comparison of multiple groups with ANOVA/ANCOVA, and measures of association. The last four weeks treat the regression framework which is a generalization of the methods discussed in the first six weeks. Within the regression framework, the analysis of binary outcomes is also discussed (i.e., logistic regression). Through weekly tutorials, students gain hands-on experience with the data analysis software (SPSS) and of applying quantitative methods to real-world datasets.听

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 听听听 Undergraduate (FHEQ Level 5)

Teaching and assessment

Mode of study: In person
Methods of assessment: 50% Coursework

50% Exam
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 100
Module leader: Professor David Frost
Who to contact for more information: bsc-socsciences@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.

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