Statistical Research
Wai-Ching Leung(Author)
Teach Yourself Books (Publisher)
Published on 26. December 2003
Book
Paperback/Softback
192 pages
978-0-340-84517-2 (ISBN)
Description
Although it is easy to write and administer questionnaires or to carry out interviews, there are so many potential pitfalls in the design, execution and analysis processes that few surveys give valid results in practice. In order to carry out statistical research properly, the principles behind the design, choice of study population, sampling, sample size, dealing with non-response, questionnaires or interview designs and analysis must be thoroughly understood. Unfortunately, few of those who supervise or carry out statistical research understand these principles. TEACH YOURSELF STATISTICAL RESEARCH is written for those who are new to the topic or need to improve their skills. It outlines the key principles in simple language and provides plenty of opportunity for practice.
More details
Series
Language
English
Place of publication
United Kingdom
Publishing group
John Murray Press
Product notice
Paperback (UK-B)
Illustrations
Diagrams
Dimensions
Height: 198 mm
Width: 129 mm
ISBN-13
978-0-340-84517-2 (9780340845172)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Person
Wai-Ching Leung is Lecturer in Public Health Medicine, UEA, a former secondary school teacher and teacher of research design at Newcastle University and UEA
Content
Introduction to surveys; Survey design; Selecting a study population; Sampling; What information should we collect?; Measuring what we want to collect; Collecting the information; Designing the questionnaires and interview protocols; Recording results; How to avoid potential bias; Basic Principles; Distinguishing between types of numerical data; Describing "averages" and "spread" of data; Putting data into pictures; Are there real differences between groups?; Detecting the relationship between two factors; Predicting using data available; Part A - Surveys; Part B - Making Sense of Numerical Data