""This is an ideal introductory book for budding researchers who
are embarking on the development and then analysis of data, and in
this case, more specifically questionnaires using partly or
exclusively closed questions amenable to statistical
analysis."
Primary Health Care Research and Development"
""The text is a welcome addition for nursing students at both
undergraduate and postgraduate level research. Having reviewed the
text I can only inform you how a student described a chapter in the
book recently when she borrowed it. 'The language is clear and
unambiguous'. I will be strongly encouraging students to either
purchase the text ... with the purpose of giving them a foundation
in statistics.""
William Evans, Institute of Technology Tralee, Ireland
This accessible book is essential reading for those looking for
a short and simple guide to basic data analysis. Written for the
complete beginner, the book is the ideal companion when undertaking
quantitative data analysis for the first time using SPSS.
The book uses a simple example of quantitative data analysis
that would be typical to the health field to take you through the
process of data analysis step by step. The example used is a doctor
who conducts a questionnaire survey of 30 patients to assess a
specific service. The data from these questionnaires is given to
you for analysis, and the book leads you through the process
required to analyse this data.
Handy screenshots illustrate each step of the process so you can
try out the analysis for yourself, and apply it to your own
research with ease.
Topics covered include: Questionnaires and how to analyse them
Coding the data for SPSS, setting up an SPSS database and entering
the data Descriptive statistics and illustrating the data using
graphs Cross-tabulation and the Chi-square statistic Correlation:
examining relationships between interval data Examining differences
between two sets of scores Reporting the results and presenting the
data "Quantitative Data Analysis Using SPSS" is helpful for any
students in health and social sciences with little or no experience
of quantitative data analysis and statistics.
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