• 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.

Data Management
Data management
Introduction

Once the data are entered into SPSS, it is inevitable that some degree of data management or manipulation will be necessary before analysing data. It is much better do this using SPSS than ‘by hand’. It is inevitable that mistakes, such as errors in entering the data or transposing between columns will occur if data management is done ‘by hand’. Moreover, if the dataset is large, carrying out such manipulations will be time consuming. Additionally, if syntax is being utilised, a record of the data management is made so that the process can be replicated in the future and others using the dataset know the logic behind the changes made. Data management functions may include recoding variables that are already present in ...

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