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PSY 350 - Research Design and Analysis II

  • 3 credits

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.

Prerequisite

PSY 250 (Research Design and Analysis I)

Textbooks and Materials

Section 801

Required

  • Statistics for the Behavioral Sciences, 10th Ed. (2017)
    Fravetter, Frederick J. and Wallnau, Larry B.
    ISBN: 978-1305504912

Optional

  • 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.

Instructors

Kimberly Henry

9704915109 | kim.henry@colostate.edu

Dr. Henry is a Professor of Psychology and Public Health at Colorado State University. As a behavioral scientist oriented toward prevention, her work focuses on the psychological and social factors that produce or mitigate the health risking behaviors of adolescents and young adults. Her goals are to develop and test theoretical models in order to understand the complex interactions of risk, promotive, and protective factors that influence these risk behaviors and, ultimately, to create and test methods for prevention. She has published over 150 papers and chapters and her work has been continuously funded by The National Institutes of Health for the past 20 years.