Whether you are a novice in Statistics, an expert, or somewhere in-between, you have probably come across the need for statistical procedures such as ROC Analysis, Custom Tables, Linear Mixed Models and Quantile Regression in your work. These procedures cut across all expertise levels and each has the power to answer many kinds of research questions, as well as provide some visualization options.
Watch this webinar as Rick Marcantonio, Quality Assurance Engineer at IBM Cloud and Cognitive Software, showcases these statistical procedures using SPSS Statistics, the world’s leading statistical analysis software. Our plan is to show you:
- ROC Curves: What they do, how they’re useful, how to interpret the curve and related statistics;
- Custom Tables: How to build, edit, format and collapse categories to help you understand data;
- Quantile Regression: When and how to use it and how it differs from Ordinary Least Squares regression;
- Generalized Linear Mixed Models: When to use it and its distinction from General Linear Models
Take advantage of this webinar to get ahead of the curve! Build your expertise and get a better understanding of just a few of the many features offered by SPSS Advanced Statistics.
This could be a winning combination!
Rick Marcantonio
Quality Assurance, Cloud and Cognitive Software, IBM
Rick is an experienced Software Engineer with a demonstrated history of working in the information technology and services industry and skilled in Linear Regression, Enterprise Software, Statistical Modeling, and Agile Methodologies. He is currently works with IBM to help them design, develop, test and deliver offerings for Cognitive Systems using the latest technologies.
He is a strong engineering professional with a Doctoral degree in Psychology from the University of Illinois at Chicago. He has used SPSS Statistics since 1987.