“Statistical Foundations” is designed to provide graduate students with a practical, applied approach to the application of fundamental behavioral and educational research design and statistical principles. Students will learn how to differentiate and appropriately select the best statistical methods for use in various research designs and analytical problems.
Note: This course was historically called “Research Design and Analysis I”
Focus
This course will mostly focus on basic statistical techniques and several forms of the ANOVA model, which can be used by themselves or serve as building blocks for more advanced techniques in other courses.
Students will also learn how to:
Use the
Rstatistical programming environment (via theR StudioIDE) to analyze data andInterpret and communicate the results of analyses (including creating reproducible research reports with R Markdown).
Syllabus
Resources
Textbooks
- Explaining Psychological Statistics, 4th edition, by Barry Cohen
USU library: Free, with USU login
Amazon: purchase, new or used
- Publication Manual of the APA: The Official Guide to APA Style, 7th edition (2020)
- Amazon: purchase new
Encyclopedia
Volume 0. Setting up Your Computer
Volume 1. Wrangling Your Data
Volume 2. Exploring Your Data
Volume 3. Testing Mean Differences
Volume 4. Correlation & Regression
YouTube
- Sarah Schwartz Stats LINK
Downloads
Ihno’s Dataset: SPSS or Excel, data dictionary
