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Introduction to Quantitative Methods for Social Sciences (EDPS0232)

Key information

Faculty
IOE
Teaching department
Education, Practice and Society
Credit value
30
Restrictions
N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

The aim of this module is to give an introduction to quantitative techniques that are commonly used in education and social sciences research, while using one of the major statistical software packages – SPSS. The module is aimed at students with little or no background in statistics. After an introduction to univariate analysis (one variable) and descriptive bivariate analysis (two variables), the module focuses on regression analysis, which is a powerful method to examine the effect of one or more variables on an outcome variable. We will cover both linear and logistic regression models, regression diagnostics, multilevel analysis and interaction effects analysis. Statistical procedures will be applied to real-world examples to aid our ability to draw conclusions about the social world. Lectures are complemented with computer classes to give 'hands-on' training in SPSS computer-aided statistical techniques for social and education research.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Dissertations, extended projects and projects
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
1
Module leader
Dr Fiona Victory
Who to contact for more information
ioe.ma.comparative@ucl.ac.uk

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Dissertations, extended projects and projects
Mark scheme
Letter Grade

Other information

Number of students on module in previous year
12
Module leader
Dr Fiona Victory
Who to contact for more information
ioe.ma.comparative@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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