Items related to SPSS Statistics for Data Analysis and Visualization
Synopsis
Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. * Conduct a more efficient and accurate analysis * Display complex relationships and create better visualizations * Model complex interactions and master predictive analytics * Integrate R and Python with SPSS Statistics for more efficient, more powerful code These "hidden tools" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.
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From the Back Cover
Explore advanced techniques that unlock the full capabilities of SPSS
IBM(R) SPSS Statistics is a complex software package with more than a dozen specialized, high-octane tools. Unlock its most powerful aspects with this comprehensive tutorial. In-depth study of advanced statistical techniques, data visualization tools, predictive analysis, and SPSS programming will enable you to take advantage of the many SPSS features that are often overlooked, making your work more efficient and accurate.
Each chapter introduces an advanced feature, explains when and why to use it, and then walks you step-by-step through executing the technique. You will learn to use advanced regression, work with maps, display complex relationships with multi-dimensional scaling, and take advantage of powerful and intuitive SPSS decision trees. You'll discover how to write more efficient code with advanced SPSS syntax, combine SPSS syntax with Python, master SPSS bootstrapping and Monte Carlo simulation.
Conquering these advanced features helps you conduct more accurate and thorough analysis and create elegant, sophisticated visualizations that tell the whole story. SPSS Statistics for Data Analysis and Visualization will show you how to:
- Tell a more complete story with SPSS Amos
- Build hierarchical linear models with SPSS Advanced Statistics
- Turn crosstabulations into pictures with Correspondence Analysis
- Map your data with advanced geospatial analysis
- Model complex interactions with SPSS Neural Networks
- Harness the power of R and Python in SPSS Statistics
- Automate your analyses with SPSS Syntax and the Output Management System
- Take advantage of SPSS(R) Data Preparation and SPSS(R) Bootstrapping, now included in SPSS Subscription Base
About the Author
KEITH MCORMICK is a data mining consultant, trainer, and speaker. A passionate user of SPSS for 25 years, he has trained thousands on how to effectively use SPSS Statistics and SPSS Modeler. He blogs at keithmccormick.com. JESUS SALCEDO is an independent statistical consultant. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users. JON PECK, now retired from IBM, was a senior engineer, statistician, and product strategist for SPSS and IBM for 32 years. He designed and contributed to many features of SPSS Statistics and has consulted with and trained many users. He remains active on social media. ANDREW WHEELER is a researcher in criminal justice and a former crime analyst. He has used SPSS for over 8 years, and often blogs SPSS tutorials at andrewpwheeler.wordpress.com.
"About this title" may belong to another edition of this title.
- PublisherWiley
- Publication date2017
- ISBN 10 1119003555
- ISBN 13 9781119003557
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages528
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