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An Introduction to Secondary Data Analysis with IBM SPSS Statistics - Softcover

 
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Synopsis

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.

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About the Author

John MacInnes 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.

Review

′For a generation we have been waiting for a really good introduction to secondary data analysis. This is it.′
-- Malcolm Williams Published On: 2016-10-19

‘A concise, compelling and engaging new text, this is a valuable addition to the bookshelves of anyone wanting to really get to grips with secondary data analysis.’

-- Alasdair Rae Published On: 2016-10-19

‘An excellent text that engages with the real-world practice of analysing existing quantitative data resources. The book covers the neglected issues of data documentation, data management, and replication that are central to effective research.’ -- Roxanne Connelly Published On: 2016-10-19

‘There are lots of books about statistics. But there are very few that tell students what they really need to know: how to acquire and manage data, and how to use them to answer questions relevant to their studies. This book fills the gap in a clearly written and user-friendly way, and is full of interesting and practical examples. It should be core reading.’ -- Richard Harris Published On: 2016-10-19

′MacInnes shows newcomers the possibilities before them and teaches the safeguards needed to make the most of secondary data.’ -- Michael Hout Published On: 2016-10-19

′Accessibly written, this is a friendly and indispensable companion for any student embarking on a secondary data analysis project. A breath of fresh air.’
-- Luke Sloan Published On: 2016-10-19

"About this title" may belong to another edition of this title.

  • PublisherSAGE Publications Ltd
  • Publication date2017
  • ISBN 10 1446285774
  • ISBN 13 9781446285770
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages336

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