# Module Directory

## HS927-7-SP-CO:Statistical Analysis

The details
2019/20
Health and Social Care (School of)
Colchester Campus
Spring
Current
Monday 13 January 2020
Friday 20 March 2020
15
07 August 2019

Requisites for this module
(none)
(none)
(none)
(none)

HS908

## Key module for

MA B99112 Health and Organisational Research

## Module description

The aim of this module is to introduce students who have no previous experience of quantitative methods to basic and intermediate statistical concepts and procedures. The emphasis is on practical applications, not mathematics although a small amount of elementary mathematics is inevitably required. The module covers the following themes:
* Principles of data analysis, description and inference, and preparation of data for statistical testing
* Conducting uni- and bivariate analysis, tests of association and tests of difference, multivariate analysis and regression modelling
* Interpreting statistical output

Module objectives:
By the end of the module you should be able to:
* Understand the logic of statistical description and inference.
* Know how to interpret basic statistics.
* Conduct elementary and intermediate quantitative data analysis using a statistical software package.

## Module aims

This module will equip students to understand, as well as develop their skills in carrying out a range of statistical tests.

## Module learning outcomes

By the end of the module the student will be able to:

Understand the logic of statistical description and inference.

Know how to interpret basic statistics.

Conduct elementary and intermediate quantitative data analysis using a statistical software package.

Students will also get the opportunity to develop the following skills:

Planning and presenting work in an appropriate manner

Writing effectively and presenting information in a clear manner.

Using information technology efficiently to access information and present written work

Using Excel to do basic analysis

Advanced use of SPSS

Enhancing self-directed learning whilst encouraging the purposive use of feedback to reflect on experiences in order to improve learning and development.

## Module information

Understanding statistical findings is key for anyone wishing to pursue an academic or Professional career. All health and social care policies and treatment recommendations should be based on evidence but in order to understand this evidence base you need to be able to understand the results of any given study and be able to ascertain whether the interpretations made on the basis of those results are appropriate. In addition, those wishing to carry out service evaluations and research within a practice based context will need to be able to demonstrate good statistical ability in addition to being able to use appropriate statistical software.

The aim of this module is to help students develop practical skills in running and interpreting statistical analysis. Students will begin with basic univariate statistics which will serve as a refresher for those already a little familiar with statistics from undergraduate studies. Then they move on to bivariate and finally multivariate analyses. The basic statistics are analysed using Excel but the majority of the module uses SPSS for the purposes of data analysis.

Please note that if insufficient numbers of students (i.e. <10) opt to take this module we may have to cancel it at short notice. If this is the case we will of course notify anyone who has applied to take this course in a particular term as soon as possible and offer an opportunity to discuss alternative options.

## Learning and teaching methods

All learning and teaching methods are provided online. There are opportunities for indivdiual face to face tutorials with the module lead. For your study on this module you will be drawing on printed material, a variety of web resources including video clips, and software. You will also engage in online discussion with fellow students. A student copy of SPSS can be obtained from IT services and you will need access to SPSS and Excel throughout the module.

## Bibliography

This module does not appear to have a published bibliography.

## Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Written Exam  In class test    100%
Exam  180 minutes during Early Exams (Main)

Coursework Exam
20% 80%

### Reassessment

Coursework Exam
20% 80%
Module supervisor and teaching staff
Dr Andrew Bateman, email: a.bateman@essex.ac.uk.
Dr Leanne Andrews
Andrew Bateman E: a.bateman@essex.ac.uk Jade D'Mello Senior Student Administrator E: jedmel@essex.ac.uk

Availability
No
No
No

## External examiner

Dr Nicola Clarke
Birmingham City University