tweak index

index.Rmd

@@ -1,6 +1,6 @@
 --- 
-title: "Psych 252: Statistical Methods for Behavioral and Social Sciences"
-author: "Tobias Gerstenberg"
+title: "Psych 710: Statistical Methods II"
+author: "Robert Hawkins"
 date: "`r Sys.Date()`"
 book_filename: "psych710"
 language:
@@ -19,22 +19,20 @@ description: "Course notes for Psych 710."
 
 # Preface {-}
 
-This book contains the course notes for [Psych 252](https://psych252.github.io/). The book is not intended to be self-explanatory and instead should be used in combination with the course lectures posted [here](https://github.com/psych252/psych252slides). 
-
-If you have any questions about the notes, please feel free to contact me at: [email protected] or post an issue on the book's [github repository](https://github.com/psych252/psych252book). 
-
-## Course description {-}
-
-This course offers an introduction to advanced topics in statistics with the focus of understanding data in the behavioral and social sciences. It is a practical course in which learning statistical concepts and building models in R go hand in hand. The course is organized into three parts: In the first part, we will learn how to visualize, wrangle, and simulate data in R. In the second part, we will cover topics in frequentist statistics (such as multiple regression, logistic regression, and mixed effects models) using the general linear model as an organizing framework. We will learn how to compare models using simulation methods such as bootstrapping and cross-validation. In the third part, we will focus on Bayesian data analysis as an alternative framework for answering statistical questions.
+These are the course notes for PSYCH 710, the second semester of graduate statistics in the UW-Madison Department of Psychology.
+These notes are cloned from [the incredible book](https://psych252.github.io/psych252book/) developed by Tobi Gerstenberg for [Psych 252](https://psych252.github.io/) at Stanford, and lightly adapted to fit the needs of the course.
+This course offers an introduction to advanced topics in statistics with the focus of understanding the kind of data we see in the behavioral and social sciences.
+The aim is for statistical concepts to be tightly interwoven with the practice of psychological research, where we build models and work with data in R.
+The centerpiece of the course is to achieve a deep understanding of the linear mixed-effects model, which we will approach from both a frequentist and Bayesian perspective.
+Along the way, other topics will be visited (and revisited), including notions of power, measurement, non-parametric statistics, and model comparison.
 
 ## Course homepage {-}
 
-https://psych252.github.io/
-
+https://socialinteractionlab.github.io/psych710
 
 ## License and citation {-}
 
-This book is licensed under the [Creative Commons Zero v1.0 Universal license](https://github.com/psych252/psych252book/blob/master/LICENSE). If you find these materials helpful for your work, I'd appreciate you citing the book: 
+This book is licensed under the [Creative Commons Zero v1.0 Universal license](https://github.com/psych252/psych252book/blob/master/LICENSE). If you find these materials helpful for your work, please cite the original book:
 
 ```
 @book{gerstenberg2022methods,