• Summary
  • Contents
  • Subject index

With the inclusion of real-world data and a host of health-related examples, this is an impressive introductory statistics text ideal for all health science and nursing students. Health and nursing students can be anxious and lacking in confidence when it comes to handling statistics. This book has been developed with this readership in mind. This accessible text avoids using long and off-putting statistical formulae in favor of non-daunting practical and SPSS-based examples. What’s more, its content will fit ideally with the common course content of stats courses in the field.

Comparing Two Categorical Variables
Comparing two categorical variables

Many variables from health surveys and questionnaires produce categorical data such as gender, age group or smoking status. Initial analysis using frequencies as in Chapter 6 should be the starting point with this type of data. Following that, the simplest analyses of these is to determine how many participants and what percentage fall into the groups created by the two variables.

Once an analysis plan has been established, then significance tests can be set up. This chapter will explain the general process involved in setting up significance tests. Where one variable is the outcome (for example survival status, died versus survived) and the other is a possible explanatory variable (for example gender, male versus female) then the most appropriate ...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles