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  Book Summary

Connolly, P. (2007) Quantitative Data Analysis in Education: A Critical Introduction Using SPSS. London New York: Routledge.

This book provides a refreshing and user-friendly guide to quantitative data analysis in education for students and researchers. It assumes absolutely no prior knowledge of quantitative methods or statistics. Beginning with the very basics, it provides the reader with the knowledge and skills necessary to be able to undertake routine quantitative data analysis to a level expected of published research.

Rather than focusing on teaching statistics through mathematical formulae, the book places an emphasis on using SPSS to gain a real feel for the data and an intuitive grasp of the main concepts and techniques involved. Drawing extensively upon up-to-date and relevant examples, the reader will be encouraged to think critically about quantitative research and its potential as well as its limitations in relation to education.

Packed with helpful features, this book:

  • Provides illustrated step-by-step guides showing how to use SPSS, with plenty of exercises to encourage the reader to practice and consolidate their new skills
  • Makes extensive use of real-life educational datasets derived from national surveys in the US and UK to illustrate key points and to bring the material to life
  • Has a companion website that contains all of the educational datasets used in the book to download as well as comprehensive answers to exercises and a range of other useful resources that are regularly updated

The book will therefore appeal not only to undergraduate and postgraduate students but also to more established and seasoned educational researchers and lecturers and professors who have tended to avoid or shy away from quantitative methods.

Paul Connolly is Professor of Education at Queen’s University Belfast and has gained extensive experience researching and publishing in education. He has taught quantitative methods using SPSS for the last ten years to undergraduate sociology students and more recently students on masters programmes in education as well as the taught doctorate programme (EdD).

Contents

Introduction

  • Who is this book for and what is it about?
  • What makes this book different?
  • Key themes underpinning the book
  • Structure of the book
  • Companion website
  • Differing versions of SPSS
  • And finally, what this book expects of you!

1. Getting Started with SPSS

  • Introduction
  • Understanding what a dataset is
  • Opening an existing dataset in SPSS
  • Creating your own dataset
  • Conclusions

2. Exploring, Displaying and Summarising Data

  • Introduction
  • Different types of variable
  • Displaying and summarising scale variables
  • Displaying and summarising nominal and ordinal variables
  • Conclusions

3. Analyzing Relationships Between Variables

  • Introduction
  • Preparing variables and the dataset for analysis
  • Analyzing relationships between two variables
  • Analyzing trends over time
  • Conclusions

4. Good Practice in Presenting Findings

  • Introduction
  • Generating and Editing Tables in SPSS
  • Generating and editing charts in SPSS
  • Chart Builder
  • Conclusions

5. Confidence Intervals and Statistical Significance

  • Introduction
  • Sources of bias in samples
  • Confidence intervals
  • The concept of statistical significance
  • Testing for statistical significance
  • Conclusions

6. Conducting Statistical Tests and Calculating Effect Sizes

  • Introduction
  • Selecting the appropriate statistical test
  • Chi-Square Test
  • Mann-Whitney U Test
  • Kruskal-Wallis Test
  • Independent Samples T-Test
  • One-Way ANOVA
  • Spearman and Pearson Correlations
  • Wilcoxon Test
  • Related Samples T-Test
  • Analyzing experimental research designs
  • Conclusions

7. Where Next?

  • Introduction
  • Develop your understanding of the nature of quantitative data and how it is generated
  • Face your demons and have a closer look at the statistics behind the concepts covered in this book
  • Move onto more advanced quantitative data analysis
    techniques involving three or more variables
  • If you’re still keen for more, think seriously about enrolling on a statistics course or programme
  • Above all, make sure you enjoy yourself!

References

Appendices

  • Defining variables in SPSS versions 9.0 and earlier
  • Editing charts in SPSS versions 12.0 and earlier

Further Details

ISBN: 9780415372978 (hbk) 9780415372985 (pbk)

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