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STAT1010 Quantitative Methods

Module Overview

This module introduces you to a range of basic quantitative methods used throughout the social sciences. This includes simple graphical methods and descriptive statistics, and also some elementary inferential statistics. Emphasis is on applying these methods to real data using Excel and the statistical software SPSS, and then interpreting and presenting the results.

Aims and Objectives

Module Aims

This module aims to enable you to undertake analysis of quantitative social science data using a range of basic quantitative methods, and also to understand the uses of these methods made by researchers in the social sciences. It will also introduce you to some key sources of United Kingdom and international social science data.

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • demonstrate knowledge and understanding of basic methods of descriptive and inferential statistics;
  • use Excel and/or SPSS to produce appropriate graphs;
  • analyse social science data by applying basic quantitative methods using Excel and SPSS and interpret the findings;
  • improve writing skills (in writing up your work for the coursework assignment);

Syllabus

This module covers a broad range of basic quantitative methods of analysis commonly used in the social sciences. The following topics are covered: Descriptive Statistics, including: - Types of data and making/using tables - Graphical methods - Averages and percentiles - Measures of spread and inequality - Transforming data - Correlation - The Normal distribution Inferential Statistics, including: - Samples and sampling distributions - Confidence intervals - Hypothesis tests for means and proportions (one-sample and two-sample tests) - Chi-squared test for independence using tables of counts - Simple linear regression

Learning and Teaching

Teaching and learning methods

This module is delivered through a combination of lectures, tutorials and computer workshops. Learning activities will include learning in lectures, discussing problems during tutorials, as well as by independent study. The computer workshops provide hands-on experience of applying basic quantitative methods to data using Excel and SPSS.

TypeHours
Lecture22
Tutorial10
Wider reading or practice10
Practical classes and workshops8
Revision35
Follow-up work20
Preparation for scheduled sessions10
Completion of assessment task35
Total study time150

Resources & Reading list

Marsh, C (2008). Exploring Data. 

Rowntree, D (2004). Statistics without Tears. 

Jaisingh, L (2000). Statistics for the Utterly Confused. 

Salkind, N (2008). Statistics for People who (think they) Hate Statistics. 

Foster, L., Diamond, I. and Jefferies, J. (2015). Beginning Statistics: An introduction for Social Scientists. 

Field, A (2013). Discovering Statistics Using IBM SPSS Statistics. 

SPSS software. You will require access to the SPSS software, which is available on the University’s computer workstations. Note that this software is available for download to your own computer for use with your studies. Other than that, no special resources are required for this module.

Clegg, F (1990). Simple Statistics. 

Assessment

Summative

MethodPercentage contribution
Coursework  (1200 words) 25%
Exam  (2 hours) 60%
Weekly online exercises 15%

Referral

MethodPercentage contribution
Coursework 12.5%
Exam  (2 hours) 80%
Weekly online exercises 7.5%

Repeat Information

Repeat type: Internal & External

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