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.
|Edition description:||First Edition|
|Product dimensions:||6.70(w) x 9.60(h) x 0.80(d)|
About the Author
John Mac Innes is a professor of sociology at the University of Edinburgh. He has been advisor to the Economic and Social Research Council and British Academy on quantitative skills training and helped establish the Nuffield Q-Step programme. He is currently the vice president (professional affairs) of the Royal Statistical Society, a chartered statistician, and fellow of the Academy of Social Sciences. He is a member of the UK Data Skills Task Force and the advisory board for Maths in Education and Industry. He has published articles and monographs on social demography, including population ageing, the sociology of identity and industrial sociology, as well as methods texts and articles about maths and statistics pedagogy.
Table of Contents
Chapter 1: Secondary Data Analysis: The Evidence is Out ThereChapter 2: Understanding the Basics of StatisticsChapter 3: Doing Secondary Data Analysis in Five MinutesChapter 4: Getting Started with SPSSChapter 5: Dealing with Data DocumentationChapter 6: Replicating Published AnalysesChapter 7: Preparing Your DataChapter 8: Managing and Manipulating DataChapter 9: Introducing Linear RegressionChapter 10: Getting Started with Logistic RegressionChapter 11: Using Binary Logistic RegressionChapter 12: Practising Regression Skills With ReplicationChapter 13: A Look Back: How to Enjoy ‘An Avalanche of Numbers’