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