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

Companion Website


January 2017 | 336 pages | SAGE Publications Ltd

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.

 
Chapter 1: Secondary Data Analysis: The Evidence is Out There
 
Chapter 2: Understanding the Basics of Statistics
 
Chapter 3: Doing Secondary Data Analysis in Five Minutes
 
Chapter 4: Getting Started with SPSS
 
Chapter 5: Dealing with Data Documentation
 
Chapter 6: Replicating Published Analyses
 
Chapter 7: Preparing Your Data
 
Chapter 8: Managing and Manipulating Data
 
Chapter 9: Introducing Linear Regression
 
Chapter 10: Getting Started with Logistic Regression
 
Chapter 11: Using Binary Logistic Regression
 
Chapter 12: Practising Regression Skills With Replication
 
Chapter 13: A Look Back: How to Enjoy ‘An Avalanche of Numbers’

Supplements

'For a generation we have been waiting for a really good introduction to secondary data analysis. This is it.'

Malcolm Williams
Cardiff University

‘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
University of Sheffield

‘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
University of Warwick

‘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
University of Bristol

'MacInnes shows newcomers the possibilities before them and teaches the safeguards needed to make the most of secondary data.’

Michael Hout
New York University

Sample Materials & Chapters

MacInnes - An Introduction to Secondary Data Analysis - Chapter 1


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ISBN: 9781446285770
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