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.
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.
Contents Chapter 1 An introduction to statistics Chapter 2 Variables Chapter 3 Descriptive statistics: the FlorenceNightingale way Chapter 4 Effective data cleaning and management Chapter 5 Critical appraisal of analysis and reporting of descriptive statistics Chapter 6 An introduction to inferential statistics Chapter 7 Correlational statistics Chapter 8 Comparing average scores: statistics for all sorts of groups and occasions Chapter 9 Critical appraisal of analysis and reporting of inferential statistics Chapter 10 Advanced thinking with probability and significance. Where to next? References Glossary