Pomona College Psych 158 Online Textbook

Welcome to Intro to Stats for Psych Science! This text is made for use in Psyc158 and the accompanying lab during the Fall 2022 semester at Pomona, taught by Professor Shannon Burns.

The majority of this course is built by compiling resources from other statistics teachers. A great deal of credit for the content herein is due to the team that produced the CourseKata online textbook (Ji Y. Son, James W. Stigler, Adam Blake, Caylor Davis, Laura Fries, Karen Givvin, Mary Tucker, Icy Zhang); Russ Poldrack and his book Statistical Thinking for the 21st Century; and Danielle Navarro’s Learning Statistics with R. If this book is helpful to you, please thank those scholars for the massive contribution they have made by writing the core of these lessons and making them publicly available. In addition, much thanks go to the team behind mybinder.org for enabling this book to live online in an interactable version.

To get started, use the Table of Contents below to navigate to each chapter for readings.

Unit 1 Describing Data

• Chapter 1 - Introduction to Statistical Thinking
• Chapter 2 - What are Data
• Chapter 3 - Organizing Data
• Chapter 4 - Cleaning Data
• Chapter 5 - Describing Data
• Chapter 6 - Variation in Multiple Variables
• Chapter 7 - Principles of Data Visualization

Unit 2 - Modeling Data

• Chapter 8 - Where Data Come From
• Chapter 9 - Modeling the Data Generation Process
• Chapter 10 - Quantifying Model Error
• Chapter 11 - Adding an Explanatory Variable
• Chapter 12 - Quantitative Predictor Models
• Chapter 13 - Multivariable Models
• Chapter 14 - Models with Moderation

Unit 3 - Evaluating Models

• Chapter 15 - Estimating Populations
• Chapter 16 - Significance Testing
• Chapter 17 - Significance Testing Whole Models
• Chapter 18 - Effect Sizes & Statistical Power
• Chapter 19 - Model Bias
• Chapter 20 - Alternate Approaches - Traditional Statistical Tools
• Chapter 21 - Lying with Statistics