ISBN-10:
1446285774
ISBN-13:
9781446285770
Pub. Date:
02/23/2017
Publisher:
SAGE Publications
An Introduction to Secondary Data Analysis with IBM SPSS Statistics / Edition 1

An Introduction to Secondary Data Analysis with IBM SPSS Statistics / Edition 1

by John MacInnes
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Overview

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.

Product Details

ISBN-13: 9781446285770
Publisher: SAGE Publications
Publication date: 02/23/2017
Edition description: First Edition
Pages: 336
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 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’

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