PSY 350: Research Design and Analysis II
PSY 350 is a required undergraduate course. Multiple live and online sections are taught every semester. The live courses accommodate approximately 100 students. Details about my section of the course may be found below.
COURSE DESCRIPTION
In this course, students study and master the fundamentals of data science. Data science is an interdisciplinary field that aims to produce insight from data. The focus of Dr. Henry’s section of PSY 350 is on using data science for social good – that is, to help illuminate, understand, and solve the problems in our society that are related to health inequity and social injustice. This takes several forms.
Over the course of the semester students:
Use R to conduct data analysis and produce beautiful reports with R Markdown
Construct data visualizations to describe data
Wrangle data to prepare for data analysis
Analyze data
Interpret and describe findings
Illustrate uncertainty in statistical estimates
Produce insight and present new insight to others
This course is taught as a flipped classroom. Students work through module handouts on their own, and class time is spent on activities that reinforce the material in the handouts. Please click below to view the student handouts for each of the course modules.