THIS THIRD edition is detailed and introduces the reader to the majority of statistical techniques required to analyse data sets. It is structured around the discussion of descriptive data first, which is always a good principle. Step by step the student is shown how to consider the findings within his or her data.
THIS BOOK contains a lot of information in a slim volume. on the one hand this is a bonus because it allows readers to focus on the main issues quickly. The downside is a rather brisk style of writing which crams a lot of information into a small space.
A regular look at recent publications relevant to health care and nursing research
The world of research can certainly be confusing. The new researcher is exposed to complex methodological issues, inexact or conflicting terminology, and frequently to research authors who pursue their own foibles at the expense of comprehension. book. There are a number of issues which are touched upon, but not really explored, for example, triangulation. Now this is a large topic in itself, and it would be unreasonable to suggest that a slim volume such as this can cover all topics relevant to social science/nursing research, nor that any author should try to do this. What this does highlight, though, is that, although this book may be a useful point of departure, the students will still have to read widely and be in a position to compare and contrast sources to justify their choices of methodology and methods. This is particularly true for students aiming for higher degrees. Similarly, topics such as choice of paradigms, which are largely mandatory for higher degrees, are not included here.
A regular look at recent publications and forthcoming events, courses and information relevant to health care and nursing research