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Introduction to Secondary Data Analysis with IBM SPSS Statistics

by John MacInnes Sage Publications Ltd
Pub Date:
Pbk 336 pages
AU$77.00 NZ$80.00
Product Status: In Stock Now
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John MacInnes takes the fear out of statistics for students, and helps to raise the standards of their quantitative methods skills, by clearly and accessibly introducing all that’s needed to know about using secondary data and working with 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’

'Accessibly written, this is a friendly and indispensable companion for any student embarking on a secondary data analysis project. A breath of fresh air.’
John MacInnes University of Edinburgh, UK

John MacInnes is Professor of Sociology at the University of Edinburgh. He has been teaching students quantitative methods and data analysis for thirty years. He has been Strategic Advisor to the UK Economic and Social Research Council on Quantitative Methods Training and currently advises the British Academy on quantitative skills, the UK Q-Step programme on statistics pedagogy and researches on statistics anxiety for the ESRC National Centre for Research Methods. He is a Fellow of the Academy of Social Sciences and the Royal Statistical Society, where he is a member of it Council. His own research and publications range over population ageing and demographic change, gender identity, national identity and the sociology of industry.