PSYC 801

Fundamentals of Data Analysis

3 units · Graduate

Fall 2026

Topics

Required: Navarro, D. Learning Statistics in R (learningstatisticswithr.com) This is a long, chatty book about doing statistics with R, and is availabe for free via the Creative Commons licence. Most of the reading is from here.
Required: Frank, M. C., et al., Experimentology (experimentology.io) This is another open-access textbook that my colleague (the main author) uses in his first year graduate statistics and research methods class at Stanford University.
Required: Bikos, L. H. ReCentering Psych Stats: Psychometrics (https://lhbikos.github.io/ReC_Psychometrics/index.html) There is one part of the class near the end that veers into psychometrics, and we will use a chapter from this interesting open-source textbook to frame our discussion of that.
Listed material: HW 1 Tue 9/8 Lab 1: R & Programming Intro Navarro 3, 4, 8 – 8.3

Fall 2025

Worse, statistics primers that teach “cookbook” methods tend to perpetuate
A secondary goal is to introduce the notion that statistics themselves can be the
software package R to both conduct and explore common statistics and statistical
Hypothesis testing
Decision making
ANOVA
Regression

Required: Navarro, D. Learning Statistics in R 2
Required: Frank, M. C., et al., Experimentology (experimentology.io) This is another open-access textbook that my colleague (the main author) uses in his first year graduate statistics and research methods class at Stanford University. The writing is clear, the conceptual work is terrific, and in many places, thought provoking. It doesn’t get enough into actual statistics for to be a main text for us, but I’ve sprinkled in some chapters to help illustrate main concepts. Access it on the web via the above link.
Listed material: HW 1 Wed 9/3 Lab 1: Brief intro to R & Programming Navarro Ch 3, 4, 8 – 8.3

Sources