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PSY 504: Advanced Statistics

Jason Geller, Ph.D.
Princeton University
Janurary 30, 2023

PSY 504: Advanced Statistics

PSY 504: Advanced Statistics

• Robust methods

• Missing data

• Generalized linear models

• Mediation

• Path analysis (SEM)

• PCA

• Clustering

• MLM

Student Learning Outcomes

• Make informed analytic decisions

• Run and code analyses in R

• Interpret output and summarize results of the analyses

• Effectively communicate results from statistical analyses to a general audience

• Use Quarto to write reproducible reports and GitHub for version control and collaboration
  

Assignments

• Reading annotations

• Mini-lectures

• Labs

• Tutorial Blog

Grades

• No points associated with assignments

• Self-evaluation

  • Did you meet learning outcomes for the class?

  • Did you turn in all your assignments?

  • Based on my feedback, how well did you think you did on assignments?

  • How much time outside of class did spend preparing for class?

Assignments

Reading Annotations

• Every week you will annotate articles via hypothe.is platform

• Collaborative note taking

• I’ve included questions to guide your reading on the course website

Mini-Lectures/Discussion

• High level overview of the topic

  • A brief introduction

  • Important concepts

  • limitations/advantages

• Relevance to psychology

  • Examples and applications

    • Walk us through an example from one of the articles/readings or your own work

• A few questions for the class

Labs

• Every week (Wednesday) we will have a lab activity covering material from that week

  • Lab should be completed in RMD/QMD or Jypter Notebook (reproducible)

    • Labs will be pushed to Github repository

    • Should be able to turn it in by end of class

      • Have until end of the week

Tutorial/Blog Post

• The final project will require you to use one of the methods discussed in class to analyze data (your own or publicly available data) and write a short blog post walking us through the process (i.e., pre-processing, analysis, and interpretation of results)

  • Will go over how to create Quarto blog/website on Wednesday

Attendance

• Come to class

• If you are sick, please stay home

Office Hours

• M 1:00 P.M.- 3:00 P.M.; W 1:00 P.M. - 2:00 P.M. 🪑

• By appointment

  • Calendly: https://calendly.com/jg9120/30min

Course Content

• https://psy504-advanced-stats.netlify.app/

• I will use Github to host labs

• I will use Canvas to:

  • Send announcements

  • Post readings for annotations

  • Answer and send emails

Recommended Text

McCoach, D. B., & Cintron, D. (2022). Introduction to Modern Modelling Methods (1st edition). SAGE Publications Ltd.

Recommended Text

Kabacoff, R. I. (2022). R in Action, Third Edition: Data analysis and graphics with R and Tidyverse (3rd edition). Manning.

Class Format

Lectures (Monday)

• Peers will introduce you to the basics of each topic and get you started with examples

• I’ll highlight main concepts/walk you through analysis

Lab (Wednesday)

• Wednesday will be reserved for working on activities related to the topic

  • Also a time to seek clarification on topics from me or your classmates

Precept Time

• PSY 505

  • Tuesdays 11:00 A.M. - 1:00 P.M.

Speaker and workshop focused

No HW or papers

Class Questions

• Any general questions about course content or assignments should be posted on the class GitHub Issues. There is a chance another student has already asked a similar question, so please check the other posts before adding a new question. If you know the answer to a question posted in the discussion forum, I encourage you to respond!

Schedule

https://psy504-advanced-stats.netlify.app/schedule/

Survey

• Go here

  • Rank order preference

  • Will try to give your #1 choice

    • At least top 3 😊