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

An Introduction to Secondary Data Analysis with IBM SPSS Statistics, 1. udgave
Søgbar e-bog

An Introduction to Secondary Data Analysis with IBM SPSS Statistics Vital Source e-bog

John Macinnes
(2016)
Sage Publishing
464,00 kr.
Leveres umiddelbart efter køb
An Introduction to Secondary Data Analysis with IBM SPSS Statistics

An Introduction to Secondary Data Analysis with IBM SPSS Statistics

John MacInnes
(2017)
Sprog: Engelsk
SAGE Publications, Limited
1.538,00 kr.
Print on demand. Leveringstid vil være ca 2-3 uger.

Detaljer om varen

  • 1. Udgave
  • Vital Source searchable e-book (Reflowable pages)
  • Udgiver: Sage Publishing (December 2016)
  • ISBN: 9781473987715
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.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 30 sider kan printes ad gangen
Copy: højest 30 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • Hardback: 336 sider
  • Udgiver: SAGE Publications, Limited (Februar 2017)
  • ISBN: 9781446285763

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 ThereChapter 2: Understanding the Basics of StatisticsChapter 3: Doing Secondary Data Analysis in Five MinutesChapter 4: Getting Started with SPSSChapter 5: Dealing with Data DocumentationChapter 6: Replicating Published AnalysesChapter 7: Preparing Your DataChapter 8: Managing and Manipulating DataChapter 9: Introducing Linear RegressionChapter 10: Getting Started with Logistic RegressionChapter 11: Using Binary Logistic RegressionChapter 12: Practising Regression Skills With ReplicationChapter 13: A Look Back: How to Enjoy 'An Avalanche of Numbers'
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