An introduction to secondary data analysis with IBM SPSS statistics / John MacInnes.
By: MacInnes, John [author.].
Publisher: Los Angeles : Sage Publications Ltd., ©2017Copyright date: ©2017Description: 324 pages ; illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781446285770.Subject(s): SPSS (Computer file) | Quantitative research -- Statistical methods -- Computer programs | Mathematical statistics -- Data processing | General | Datenanalyse | Datenauswertung | Empirische Sozialforschung | Sekundäranalyse | SPSS | GeneralGenre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | QA276.45 .S77 M33 2017 (Browse shelf) | Available | AU00000000014195 |
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| QA276.45.R3 S75 2018 Statistics with R : a beginner's guide / | QA276.45 .R3 W53 2017 R for data science : import, tidy, transform, visualize, and model data / | QA276.45.S27 H84 2016 SAS data analytic development : dimensions of software quality / | QA276.45 .S77 M33 2017 An introduction to secondary data analysis with IBM SPSS statistics / | QA276.6 .S3335 2009 Sample surveys / | QA276.8 .W45 2012 Guesstimation 2.0 : solving today's problems on the back of a napkin / | QA277.3 .W58 2019 Chi-squared data analysis and model testing for beginners / |
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.--