Introduction to Statistics for Nurses - Softcover

Maltby, John; Day, Liz; Williams, Glenn

Softcover

ISBN 10: 0131967533 ISBN 13: 9780131967533

Publisher: Routledge, 2007

Synopsis

Take the fear out of statistics with this straightforward, practical and applied book on the ‘how and why’ of using statistics.

Introduction to Statistics for Nurses is an essential introductory text for all nursing students coming to statistics for the first time. The nursing profession involves the use of statistics every day, for example in the cases of mortality rates, average life expectancies, percentage recovery rates, average remission times, and the findings of which drugs work best with which illnesses. In fact, all of the policies that surround this job, the treatment strategies, and all the facts described above are derived from the use of statistics.

This book will help students to understand the use of statistics in nursing literature, and shows how to use statistics effectively in answering research questions. Case studies throughout show how statistics are applied in nursing research and frequent exercises help to test the reader's knowledge as they progress. 

About this title

About the Author

John Maltby is a lecturer in Psychology at the University of Leicester. He is, with Liz Day, one of the authors of ‘Personality, Individual Differences and Intelligence’, also published by Pearson Education.

Liz Day is a lecturer in Psychology at Sheffield Hallam University. Her work is in an applied setting, looking at how positive beliefs influence positive well-being.

Glenn Williams is a Senior Lecturer in Psychology at Nottingham Trent University. He has worked in the National Health Service and has been involved with the education and training of nurses, particularly in the use of quantitative research methods.

From the Back Cover

Introduction to Statistics for Nurses
John Maltby
Liz Day
Glenn Williams

Take the fear out of statistics with this straightforward, practical and applied book on the ‘how and why’ of using statistics.

In your profession as a nurse, you’ll be presented with statistics every day: mortality rates, average life expectancy, percentage recovery rate, average remission time, the findings of which drugs work best with which illnesses. In fact, most of your job, the policies that surround it, the treatment strategies, and all the facts described above are derived from the use of statistics.

This book will help you to understand the use of statistics in nursing literature, and show you how to use statistics effectively in answering your own research questions. Case studies throughout show how statistics are applied in nursing research and frequent exercises help you to test your own knowledge as you progress. 

The book is compatible with the latest versions of SPSS – a commonly used statistical package among nurses and other health professionals. It is accompanied by a website where you can practise the exercises in the book online with data relevant to the adult, child, mental health and learning disability branches of nursing (www.pearsoned.co.uk/maltby).

Introduction to Statistics for Nurses is an essential introductory text for all nursing students coming to statistics for the first time.

About the authors

John Maltby is a lecturer in Psychology at the University of Leicester. He is, with Liz Day, one of the authors of ‘Personality, Individual Differences and Intelligence’, also published by Pearson Education.

Liz Day is a lecturer in Psychology at Sheffield Hallam University. Her work is in an applied setting, looking at how positive beliefs influence positive well-being.

Glenn Williams is a Senior Lecturer in Psychology at Nottingham Trent University. He has worked in the National Health Service and has been involved with the education and training of nurses, particularly in the use of quantitative research methods.

 

 

 

 

 

 

 

Edition details

• Publisher: Routledge
• Publication date: 2007
• Language: English
• ISBN 10: 0131967533
• ISBN 13: 9780131967533
• Binding: Paperback
• Edition number: 1
• Number of pages: 286