Good Reads
Welcome to my "Good Reads" tab! Here, I’d like to share some of the books that have inspired me, shaped my thinking, and taught me valuable lessons. Whether you're looking for new insights, a different perspective, or just a great read, these books have something to offer.
Books That Nerd Me Out
Discovering Statistics Using IBM SPSS Statistics by Andy Field
This book has been with me for years, and it continues to be a favorite. I first encountered it as an undergraduate (3rd edition), where Andy Field’s quirky humor and clear explanations helped me fall in love with statistics. Now, I use the 6th edition to teach my own classes, passing on the same joy of learning statistics to my students. It’s more than a textbook—it’s a companion that makes stats approachable and fun.
Discovering Statistics Using R by Andy Field, Jeremy Miles, and Zoë Field
Moving into the world of R was daunting at first, but this book made the transition smooth and even enjoyable. It helped me learn R step-by-step, combining Andy Field’s signature humor with practical examples that build confidence. Whether you’re new to R or looking to deepen your skills, this book is an essential guide.
Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Third Edition by Barbara M. Byrne
This was my very first introduction to Structural Equation Modeling (SEM), and it opened up a whole new world of understanding complex relationships in data. Barbara Byrne’s clear explanations and practical examples made learning SEM with AMOS straightforward and incredibly rewarding. This book holds a special place in my heart as the foundation of my SEM journey.
Longitudinal Structural Equation Modeling by Todd D. Little
If you’re working with data across multiple time points, this book is a game-changer. For me, it’s more than just a textbook—it’s a roadmap to connect paths and trends over time, which is critical in designing and evaluating interventions. Todd Little’s ability to explain advanced concepts in an accessible way makes this book a treasure for anyone exploring longitudinal analysis.