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An Introduction to Secondary Data Analysis with IBM SPSS Statistics
John Macinnes
€ 53.60
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Description for An Introduction to Secondary Data Analysis with IBM SPSS Statistics
Paperback. 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 Num Pages: 336 pages. BIC Classification: GPS; UFM. Category: (U) Tertiary Education (US: College). Dimension: 176 x 270 x 19. Weight in Grams: 596.
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
Publisher
SAGE Publications Ltd
Format
Paperback
Publication date
2016
Condition
New
Number of Pages
336
Place of Publication
London, United Kingdom
ISBN
9781446285770
SKU
V9781446285770
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About John Macinnes
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.
Reviews for An Introduction to Secondary Data Analysis with IBM SPSS Statistics
'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 'MacInnes shows newcomers the possibilities before them and teaches the safeguards needed to make the most of secondary data.'
Michael Hout `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 `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 `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 'For a generation we have been waiting for a really good introduction to secondary data analysis. This is it.'
Malcolm Williams
Luke Sloan 'MacInnes shows newcomers the possibilities before them and teaches the safeguards needed to make the most of secondary data.'
Michael Hout `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 `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 `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 'For a generation we have been waiting for a really good introduction to secondary data analysis. This is it.'
Malcolm Williams