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

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  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2008-01-01
  • Publisher: Open University Press
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"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

Introductionp. 1
A questionnaire and what to do with it: types of data and relevant analysesp. 5
The questionnairep. 5
What types of analyses can we perform on this questionnaire?p. 7
Descriptive statisticsp. 7
Relationships and differences in the datap. 13
Summaryp. 16
Exercisesp. 17
Notesp. 18
Coding the data for SPSS, setting up an SPSS database and entering the datap. 19
The datasetp. 19
Coding the data for SPSSp. 20
Setting up an SPSS databasep. 21
Defining the variablesp. 22
Adding value labelsp. 25
Entering the datap. 27
Exercisesp. 28
Notesp. 31
Descriptive statistics: frequencies, measures of central tendency and illustrating the data using graphsp. 33
Frequenciesp. 33
Measures of central tendency for interval variablesp. 38
Using graphs to visually illustrate the datap. 41
Bar chartsp. 41
Histogramsp. 45
Editing a chartp. 46
Boxplotsp. 50
Copying charts and tables into a Microsoft Word documentp. 52
Navigating the Output Viewerp. 56
Summaryp. 57
Ending the SPSS sessionp. 58
Exercisesp. 58
Notesp. 60
Cross-tabulation and the chi-square statisticp. 61
Introductionp. 61
Cross-tabulating data in the questionnairep. 61
The chi-square statistical testp. 63
Levels of statistical significancep. 67
Re-coding interval variables into categorical variablesp. 69
Summaryp. 73
Exercisesp. 73
Notesp. 75
Correlation: examining relationships between interval datap. 77
Introductionp. 77
Examining correlations in the questionnairep. 77
Producing a scatterplot in SPSSp. 78
The strength of a correlationp. 80
The coefficient of determinationp. 82
Summaryp. 83
Exercisesp. 84
Notesp. 85
Examining differences between two sets of scoresp. 86
Introductionp. 86
Comparing satisfaction ratings for the two counsellorsp. 88
Independent or related samples?p. 88
Parametric or non-parametric test?p. 88
Comparing the number of sessions for each counsellorp. 95
Summaryp. 100
Exercisesp. 101
Notesp. 102
Reporting the results and presenting the datap. 103
Introductionp. 103
Structuring the reportp. 103
How not to present datap. 107
Concluding remarksp. 109
Answers to the quiz and exercisesp. 110
Glossaryp. 130
Referencesp. 133
Indexp. 135
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