SPSS Analysis Without Anguish: Version 12.0 For Windows
β Scribed by Coakes Sheridan J.
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No coin nor oath required. For personal study only.
β¦ Synopsis
John Wiley & Sons | ISBN: 0470807369 | 2007 | 278 Pages |
This latest version of SPSS: Analysis Without Anguish, is based on Version 12.0 of SPSS for Windows. SPSS software is being continually modified and improved but the steps of entering and analysing data remain similar. New features to SPSS 12.0 include better reporting capabilities through a new presentation graphics system and improved data and output management that provides greater flexibility and more options when managing data.
This practical text addresses the needs of all users of SPSS software. It serves as an introduction to new users but allows those wishing to undertake more complicated analytical procedures to work through each stage. It steps users through all the necessary techniques and procedures and the extensive use of screen displays make it possible for students to use this book unsupervised. Worked examples illustrate the procedures, and practice examples allow users to consolidate their skills. Assumption testing for each procedure is discussed early in each chapter and the appropriate data screening methods are outlined prior to the analysis and interpretation of the output.
β¦ Subjects
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<span>This edition of SPSS: Analysis without Anguish continues the trend of previous editions in providing a practical text intended as an introduction to IBM SPSS Statistics 20 and a guide for Windows users who wish to conduct analytical procedures. IBM SPSS Statistics 20 is a sophisticated piece o
I've been using SPSS for years, but found myself having to train others in how to use it. So, wanted a refresher course on some of the options that I don't use very often.I selected this based on the other favorable reviews, and am pleased to add my five star rating to the mix. Outstanding! Clearly
The 3rd edition of this popular book carries the sticker "Students' Favourite". However, I would suggest this book is very valuable for a much wider audience, including post Doctoral professionals who find themselves a bit 'rusty' on a particular statistical test, or who need to refresh their memori