Quantitative Data Analysis Using SPSS : An Introduction for Health and Social Science

by Greasley

• ISBN13: 9780335223060
• ISBN10: 0335223060
• Edition: 1st
• Format: Hardcover
• Copyright: 2008-01-01
• Publisher: Open University Press

Summary

"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, IrelandThis 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 SPSSis helpful for any students in health and social sciences with little or no experience of quantitative data analysis and statistics.

Author Biography

Pete Greasley is a lecturer at the School of Health Studies, University of Bradford, UK..

Table of Contents

Introduction	p. 1
A questionnaire and what to do with it: types of data and relevant analyses	p. 5
The questionnaire	p. 5
What types of analyses can we perform on this questionnaire?	p. 7
Descriptive statistics	p. 7
Relationships and differences in the data	p. 13
Summary	p. 16
Exercises	p. 17
Notes	p. 18
Coding the data for SPSS, setting up an SPSS database and entering the data	p. 19
The dataset	p. 19
Coding the data for SPSS	p. 20
Setting up an SPSS database	p. 21
Defining the variables	p. 22
Adding value labels	p. 25
Entering the data	p. 27
Exercises	p. 28
Notes	p. 31
Descriptive statistics: frequencies, measures of central tendency and illustrating the data using graphs	p. 33
Frequencies	p. 33
Measures of central tendency for interval variables	p. 38
Using graphs to visually illustrate the data	p. 41
Bar charts	p. 41
Histograms	p. 45
Editing a chart	p. 46
Boxplots	p. 50
Copying charts and tables into a Microsoft Word document	p. 52
Navigating the Output Viewer	p. 56
Summary	p. 57
Ending the SPSS session	p. 58
Exercises	p. 58
Notes	p. 60
Cross-tabulation and the chi-square statistic	p. 61
Introduction	p. 61
Cross-tabulating data in the questionnaire	p. 61
The chi-square statistical test	p. 63
Levels of statistical significance	p. 67
Re-coding interval variables into categorical variables	p. 69
Summary	p. 73
Exercises	p. 73
Notes	p. 75
Correlation: examining relationships between interval data	p. 77
Introduction	p. 77
Examining correlations in the questionnaire	p. 77
Producing a scatterplot in SPSS	p. 78
The strength of a correlation	p. 80
The coefficient of determination	p. 82
Summary	p. 83
Exercises	p. 84
Notes	p. 85
Examining differences between two sets of scores	p. 86
Introduction	p. 86
Comparing satisfaction ratings for the two counsellors	p. 88
Independent or related samples?	p. 88
Parametric or non-parametric test?	p. 88
Comparing the number of sessions for each counsellor	p. 95
Summary	p. 100
Exercises	p. 101
Notes	p. 102
Reporting the results and presenting the data	p. 103
Introduction	p. 103
Structuring the report	p. 103
How not to present data	p. 107
Concluding remarks	p. 109
Answers to the quiz and exercises	p. 110
Glossary	p. 130
References	p. 133
Index	p. 135
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