When it comes to teaching applied statistics to undergrads, introducing them to R from the start can be a great way to set them up for success. But with so many textbooks out there, it can be tough to choose the right one. As an instructor, you want a book that’s engaging, easy to follow, and relevant to your students’ lives.
I recently came across a Reddit post from a fellow instructor who was facing the same dilemma. They were deciding between three popular textbooks: An Introduction to Statistical Learning: with Applications in R (ISLR), Field’s Discovering Statistics Using R, and Agresti’s Statistical Methods for the Social Sciences. Each of these books has its strengths and weaknesses, so let’s break them down.
ISLR is a great choice for students who are new to statistics and R. It’s written in an approachable style, with plenty of examples and exercises to help students practice their skills. However, some instructors have noted that it may not provide enough depth for more advanced students.
Field’s Discovering Statistics Using R is another popular option. It’s known for its clear explanations and engaging examples, making it a great choice for students who are struggling to understand complex statistical concepts. However, some reviewers have noted that it may not cover as much material as other textbooks.
Agresti’s Statistical Methods for the Social Sciences is a more traditional statistics textbook that happens to use R. It’s a great choice for students who are interested in social sciences and want to apply statistical methods to real-world problems. However, it may not be the best fit for students who are new to R or statistics in general.
So, which textbook is best for your students? Ultimately, the choice will depend on your teaching style, your students’ needs, and the goals of your course. But by considering the strengths and weaknesses of each textbook, you can make an informed decision that will help your students succeed.