Introduction to Secondary Data Analysis with IBM SPSS Statistics

Regular price €188.48
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=John MacInnes
advantages of secondary research
Age Group_Uncategorized
Age Group_Uncategorized
Author_John MacInnes
automatic-update
big data
Category1=Non-Fiction
Category=GPS
Category=UFM
COP=United Kingdom
data analysis
data analysis methods
data analytics
data cleaning
data documentation
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ibm spss
Language_English
PA=Available
Price_€100 and above
PS=Active
quantitative analysis
secondary data
secondary data definition
secondary research
secondary research methods
softlaunch
spss
spss software
spss statistics
statistical analysis
survey data
survey research
transactional data
what is secondary data
what is secondary research

Product details

  • ISBN 9781446285763
  • Weight: 760g
  • Dimensions: 174 x 246mm
  • Publication Date: 19 Dec 2016
  • Publisher: SAGE Publications Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
Secure checkout Fast Shipping Easy returns

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.

From 2009 to 2014 John was the Strategic Advisor to the Economic and Social Research Council (ESRC) on quantitative methods training overseeing the genesis and launch of the Q-Step programme. From 2015 to 2020 he was Strategic Advisor to the British Academy on Quantitative skills and a member of the British Academy’s High Level Strategy group on Quantitative Skills. John is a Chartered Statistician and was Vice President (Professional Affairs) of the Royal Statistical Society 2019-20. He has held research grants from the European Commission, UK ESRC, British Academy, Leverhulme trust and British, Spanish and Catalan government departments.

More from this author