Key Features

  • Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability.
  • Reader-friendly writing style
  • t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula
  • Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.

Table of Contents

Chapter 1: A Fool-Resistant Introduction to statistics

Chapter 2: Statistics as information

Chapter 3: Descriptive statistics

Chapter 4: Probability

Chapter 5: Inferential statistics, sampling and hypothesis testing

Chapter 6: Significance testing, beyond significance testing and experimental design

Chapter 7: Measures of differences (1): t-tests and the chi-square test

Chapter 8: Measures of differences (2): analysis of variance (ANOVA)

Chapter 9: Measures of association (1): correlation

Chapter 10: Measures of association (2): regression

Chapter 11: Qualitative research methods

Chapter 12: Statistics in the health sciences

Chapter 13: Reliability, validity and norms

Chapter 14: Statistics and the computer

Details

No. of pages:
244
Language:
English
Copyright:
© 2013
Published:
Imprint:
Churchill Livingstone
eBook ISBN:
9780729581493
Print ISBN:
9780729541497

About the author

Stephen McKenzie

Affiliations and Expertise

Research and Evaluation Officer to the City of Greater Geelong’s implementation of the federal, state and local governments’ Healthy Together preventive health initiative. Previously Lecturer and Research Fellow at the School of Psychology, Deakin University