An introduction to secondary data analysis with IBM SPSS statistics / John MacInnesPublisher: New Delhi: Sage, 2017Description: x, 324 pISBN: 9781446285770Subject(s): Quantitative research | Mathematical statistics | GeneralDDC classification: 519.502 855 3 Online resources: Click here to access online
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|Books||Mahatma Gandhi University Library General Stacks||519.502 855 3 Q7 (Browse shelf)||Available||58976|
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|519.502 855 133 Q52 Data science in R :||519.502 855 133 Q6 A first course in statistical programming with R /||519.502 855 133 Q7 R for beginners/||519.502 855 3 Q7 An introduction to secondary data analysis with IBM SPSS statistics /||519.502 855 54 Q4 Statistics for managers using Microsoft Excel /||519.502 855 54 Q5 Creating and verifying data sets with Excel/||519.502 855 55 Q7 Applied statistics using stata /|
Includes bibliographical references and index.
Secondary data analysis : the evidence is out there -- Understanding the basics of statistics -- Doing secondary data analysis in five minutes -- Getting started with SPSS -- Dealing with data documentation -- Replicating published analyses -- Preparing your data -- Managing and manipulating data -- Introducing linear regression -- Getting started with logistic regression -- Using binary logistic regression -- Practising regression skills with replication -- A look back : how to enjoy 'an avalanche of numbers'.
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.--