Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond, 4th Edition

Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond, 4th Edition is an advanced yet accessible course designed to help students and professionals master statistical modeling through a model comparison framework. This course takes you beyond traditional methods and introduces a unified, conceptual understanding of data analysis, regression, and ANOVA — making it an excellent guide for researchers, analysts, and data scientists.

Course Overview

This course provides a comprehensive foundation for understanding the logic of model comparison, a modern and flexible approach to statistical analysis. By working through practical examples, you’ll learn how to evaluate and compare models, assess fit and complexity, and apply statistical reasoning to real-world research problems.

What You Will Learn

• The principles of the model comparison approach to statistical analysis
• How to apply regression and ANOVA techniques in data-driven research
• Model selection, hypothesis testing, and interpretation of results
• Understanding statistical significance and model fit metrics
• Application of concepts using software tools like R, SPSS, and Python
• Practical examples from behavioral and social sciences

Who This Course Is For

This course is ideal for students in psychology, social sciences, business analytics, and data science, as well as for professionals seeking a modern approach to statistical modeling. It bridges the gap between theory and application, empowering learners to make accurate, data-driven decisions.

Explore These Valuable Resources

• Mplus: Statistical Modeling Resources
• CRAN R Project for Statistical Computing
• IBM SPSS Statistics Official Page

Explore Related Courses

• Data Analysis Courses
• Statistics Courses
• Regression Courses
• ANOVA Courses
• Data Science Courses

By the end of this course, you’ll have a deep understanding of data analysis through a model comparison approach — a modern, flexible, and intellectually rigorous framework for statistical reasoning. With Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond, 4th Edition, you’ll gain the analytical confidence to tackle any research or data-driven challenge with clarity and precision.