Interpreting Statistical Findings: A Guide for Health Professionals and Students
The randomised controlled trial
The Health survey
Part 2 Interpreting statistical concepts
 
Measuring variables: continuous, ordinal and categorical data
 
Describing continuous data: The normal distribution
 
Describing nonparametric data
Measuring concepts: Validity and reliability
 
Sampling data: Probability and non-probability samples
 
Sample size: criteria for judging adequacy
 
Testing hypotheses: what does p actually mean?
Part 3 Statistical tests
 
Introduction to inferential statistics
 
Comparing two independent (unrelated) groups: independent (unrelated) t test, Mann-Whitney U test, contingency analysis- Fisher's exact test and Chi-square test
 
Comparing three or more independent (unrelated) groups: One-way ANOVA, Kruskal Wallis test and Chi-square test
 
Comparing two sets of related data: Matched pairs or single-sample repeated measures- related (paired) t test, Wilcoxon signed rank test, sign test and McNemar's test
 
Complex group comparisons: ANOVA / ANCOVA, Friedman two-way ANOVA by ranks and Cochrane Q test
 
Simple tests of association: Correlation and linear regression
 
complex associations: Multiple and logistic regression
Part 4 Quick reference guide
I Framework for statistical review
 
II Glossary of terms
III Guide to statistical symbols
 
IV Overview of common statistical tests
 
V Guide to the assumptions that underpin statistical tests
 
VI Summary of statistical test selection and results
 
VII Extracts from statistical tables
 
                
Conor Hamilton, Student Nurse, Queen’s University Belfast, UK
Need help interpreting other people's health research?
This book offers guidance for students undertaking a critical review of quantitative research papers and will also help health professionals to understand and interpret statistical results within health-related research papers.
The book requires little knowledge of statistics, includes worked examples and is broken into the following sections:
- A worked example of a published RCT and a health survey
- Explanations of basic statistical concepts
- Explanations of common statistical tests
- A quick guide to statistical terms and concepts
Interpreting Statistical Research Findings is key reading for nursing and health care students and will help make this area of research much easier to tackle!
