Books Authored by Keith McCormick


Keith McCormick is the author (or co-author) of four books, one of them is due for release in the middle of 2017. A fifth book is under contact with Cambridge University press, and is expected in 2018. This page provides links to Keith’s author pages on Amazon and Goodreads as well as an overview of what you will find in the books.

There are also occasional blog posts about the books as well as publisher’s content. This page will help you find all of that. For information on Keith’s reviews of dozen’s of other books, check out the Review page on this site.
Visit my Amazon author page at Keith McCormick’s Amazon Author page. For my page of the excellent Goodread’s site, visit: Keith McCormick’s Goodreads Author page.

IBM SPSS Modeler Cookbook

The IBM SPSS Modeler Cookbook was the collaboration of PACKT publishing and five authors: Keith McCormick, Dean Abbott, Meta Brown, Tom Khabaza, Scott Mutchler. Colin Shearer, the creator of the original software, was kind enough to write the Forward, and we had a fantastic team of technical reviewers: Fabrice Leroy, Terry Taerum, Jesus Salcedo, Bob Nisbet, Matt Brooks, and David Young Oh. You could spend an afternoon googling the names of this great team of collaborators. Collectively, they represent much of the history of SPSS Modeler since its creation in the early 90s.

It has gotten great reviews and we are committed to keeping this book current over the upcoming years. I wrote a blog post announcing the Cookbook when its release was first announced. I also recommend this post about the free sampler page, which PACKT had me put together.

The reviews have been very favorable on Amazon, and Goodreads. Please reach out to me if you have questions about the supporting materials which can be found here: PACKT’s IBM SPSS Modeler Cookbook page. For further training on any of the topics covered in the Cookbook, or for consulting support with SPSS Modeler, please contact me.

SPSS Statistics For Dummies, 3rd Edition

SPSS Statistics For Dummies, 3rd Edition has been an exciting project is many ways. There are tons of introductory books on SPSS Statistics, but I truly think that this title is unique. The For Dummies format is by its very nature an introduction. To do that well, every page has to be thoughtfully used, with no waste. My coauthor, Jesus Salcedo, and I made every page count. Between us, we have taught thousands and thousands of folks how to use SPSS Statistics. With the help of our technical contributor Aaron Poh, with made sure that every step and every screen shot was up to date for the current version. We made sure that all the basics were represented, that the new version got appropriate attention, and that everything that was covered belonged in an introductory book. No introductory book can cover everything as SPSS Statistics is a vast world of options and settings, but I truly believe that there is no better way to start short of the luxury of private instruction. For further training on any of the topics covered in SPSS Statistics For Dummies, or for consulting support in any area of SPSS, please contact me.

SPSS Statistics For Dummies is available for pre-lease on Amazon. Make sure that it is the 3rd edition. The 2nd edition, titled SPSS For Dummies, was written in 2005. There is a lot of free content on Wiley’s supporting site. The announcement page on Wiley main site is here.

SPSS Statistics for Data Analysis and Visualization

SPSS Statistics for Data Analysis and Visualization is set firmly in the intermediate to advanced level of SPSS Statistics. It also take the reader in a different direction than the handful of books that attempt to cover SPSS Statistics beyond the basics. We focus on techniques that allow you to address common situations with greater sophistication, making occasional use of the SPSS Statistics modules. There is also plenty of content on SPSS Base. As the book release approaches I will post a chapter level overview.

Some examples of chapters that we are working on. Rather than try to get away with using OLS regression with ordinal variables, we show PLUM and Optimal scaling. Something that I am particularly excited about is that with all the talk around chart types and chart editing, we forget that we can bring our statistical sophistication to bear. So, we introduce both Multidimensional Scaling and Correspondence Analysis as ways to preprocess complex relationships to reduce the data into a form that can be more easily displayed.

If you have questions about the complex world of the SPSS Modules, or you want to know if a topic of interest requires a module please contact me.

Here is the book's page Wiley’s site and on Amazon.