Introduction to Statistics for Nurses
By John Maltby,et al
May 2007
Pearson Education 
ISBN: 9780131967533
268 pages, Illustrated, 7 3/8 x 9 1/4"
$67.50 Paper Original
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. "Introduction to Statistics for Nurses" is
an essential introductory text for all nursing students coming to statistics
for the first time.
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.
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