Design, analysis, and reporting of psychological research.
This online section of PSY350 was developed by Dr. Kimberly Henry, a Professor of Psychology at CSU, and a Professor of Community and Behavioral Health at the Colorado School of Public Health. In this course, you are going to learn the fundamentals of data science. Data science is an interdisciplinary field that aims to produce insight from data. The focus will be 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. You will learn how to do all of this work using RStudio — including data visualization, data carpentry, data modeling, and reporting of all your produced work using beautiful R Markdown Reports. You will gain valuable skills that are highly desired by employers.
When designing this course, Dr. Henry spent a lot time reflecting on her own academic training. Her early opportunities to use statistics, data science and mathematical thinking to solve real world problems were transformative – and ultimately led her to pursue a career in social science. She designed this course so that you could have these same types of experiences and hopefully develop a love for applying statistics to help solve the wicked problems in our society.
PSY 250 (Research Design and Analysis I)
Textbooks and Materials
- Statistics for the Behavioral Sciences, 10th Ed. (2017)
Fravetter, Frederick J. and Wallnau, Larry B.
- Publication Manual of the American Psychological Association, 7th Ed. (2020)
American Psychological Association
- An Easy Guide to APA Style (2017)
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.