Welcome to the Companion Website!

Welcome to the companion website for An Introduction to Secondary Data Analysis with IBM SPSS Statistics, first edition, by John MacInnes. The resources on the site have been specifically designed to help you become a proficient secondary data analyst. 

On this website you will find:

  • A series of step-by-step video tutorials, in which John MacInnes shows you exactly how to use the IBM SPSS® software to prepare and analyse secondary data. These videos correspond to the data analysis techniques covered in the book, so it’s really helpful to use the book and website together.
  • A Microsoft Excel file containing the confidence interval calculator, a tool you can use with SPSS to find the margin of error of sample data.
  • SPSS syntax files and datasets, which will enable you to perform the analytical techniques covered in the book and help you to answer the exercises at the end of each chapter.
  • Weblinks to all sorts of other useful SPSS learning resources, such as videos on all the main commands available in SPSS, and guides to a range of useful data sources from national data archives and international organisations such as the UN, the World Bank, the OECD, Eurostat and many others.

Each chapter is supported by a combination of these resources, just click on the links to the left.

About the book

Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics.

You will learn how to:

  • Create a robust research question and design that suits secondary analysis
  • Locate, access and explore data online
  • Understand data documentation
  • Check and 'clean' secondary data
  • Manage and analyse your data to produce meaningful results
  • Replicate analyses of data in published articles and books

Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you'll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book's companion website give you an opportunity to practice, check your understanding and work hands on with real data as you're learning.

Disclaimer

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