SPSS Statistics for Dummies
4th Edition - NOW AVAILABLE!
5 out of 5 stars
Solid stuff from legit expert authors
“These skills are neglected by most people who pick up the product on their own, and that’s a shame, because if you don’t know this stuff you can waste a heap of time, and get a lot less than the full value of SPSS.”
—Meta Brown, former long time employee of SPSS, author of Data Mining For Dummies, and a well-known analytics expert
The fun and friendly guide to mastering IBM's Statistical Package for the Social Sciences
Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis.
Covering the latest release and updates to SPSS 27.0, and including over 150 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more. You'll even dabble in programming as you expand SPSS functionality to suit your specific needs.
- Master the fundamental mechanics of SPSS
- Learn how to get data into and out of the program
- Graph and analyze your data more accurately and efficiently
- Program SPSS with Command Syntax
Get ready to start handling data like a pro--with step-by-step instruction and expert advice!
PREORDER NOW and get weekly virtual help sessions with the authors From July 30 through September 3, 2020.
Attend a free webinar with the authors:
Demystifying SPSS Statistics Add-on Modules
About the Authors
Jesus Salcedo (left) is an independent statistical and data-mining consultant who has been using SPSS products for more than 25 years. He has written numerous SPSS courses and trained thousands of users.
Keith McCormick (right) has been all over the world training and consulting in all things SPSS, statistics, and data mining. He now authors courses on the LinkedIn Learning platform and coaches executives on how to effectively manage their analytics teams.
What's in the 4th Edition of SPSS Statistics for Dummies
10 Most SPSS Common Mistakes
In one chapter, we list and address what we consider to be the 10 most common mistakes that new users to SPSS Statistics make.
Have you had trouble with any of these? Are any of them unfamiliar?
Failing to declare Level of Measurement
Values, Labels, and Strings
Failing to declare Missing Data
Add-on Modules and Plug-ins
Paste and Syntax
Creating new variables
Losing track of your Active Dataset
Forgetting to turn off Select and Split and Weight