The University of Southampton
Courses

# RESM6004 Quantitative Methods 1

## Module Overview

The emphasis will be on the practical application of statistical methods and the interpretation of results using the statistical computer software SPSS. The module will draw on a range of international and UK data sources. One of the pre-requisites for RESM6007 and STAT6108 This module is a pre-requisite for GEOG6110

### Aims and Objectives

#### Learning Outcomes

##### Learning Outcomes

Having successfully completed this module you will be able to:

• Demonstrate knowledge and understanding of core methods of descriptive and inferential statistics used in the social sciences and other disciplines
• Use computers to perform statistical analyses
• Use computers to handle and manipulate quantitative data
• Write reports of data analysis.
• Analyse and solve problems
• Select appropriate statistical methods in order to answer specific research questions
• Enter quantitative data into SPSS files
• Carry out and interpret statistical analyses (including hypothesis tests about means and proportions, the chi-squared test of independence, and linear regression) using SPSS

### Syllabus

This module gives a broad introduction to quantitative methods of analysis. Indicative content includes: descriptive statistics, presentation of data using tables and graphs, the Normal distribution, sampling distributions and the central limit theorem, confidence intervals, hypothesis tests for means and proportions, chi-squared test of independence, two sample t-tests, correlation and simple linear regression, multiple linear regression, regression with categorical covariates and interactions, the measurement and interpretation of effect sizes. In addition, some key international and UK data sources will be introduced.

### Learning and Teaching

#### Teaching and learning methods

Teaching will be delivered by a mixture of synchronous and asynchronous online methods, which may include lectures, quizzes, discussion boards, workshop activities, exercises, and videos. A range of resources will also be provided for further self-directed study. Face-to-face teaching opportunities will be explored depending on circumstances and feasbility.

TypeHours
Independent Study78
Teaching22
Total study time100

Field, A. (2009). Discovering Statistics Using SPSS.

Other. A variety of relevant e-learning resources will be available on Blackboard. These include recordings of lectures, exercise/tutorial sheets, computer workshop sheets, datasets for analysis, reading lists, and links to online statistics textbooks and other useful websites. Resources to support the production of these blended learning materials will be made available by the Doctoral Training Centre

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

### Assessment

#### Assessment Strategy

The module will be assessed by coursework assignment.

#### Summative

MethodPercentage contribution
Coursework assignment(s)  () 100%

#### Referral

MethodPercentage contribution
Coursework assignment(s) 100%

#### Repeat Information

Repeat type: Internal & External

### Costs

#### Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

##### Books and Stationery equipment

Recommended texts for this module may be available in limited supply in the University Library and students may wish to purchase reading texts as appropriate.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.