Statistical Methods in Psychology I

Student Learning Outcomes, Goals, Objectives:

Students successfully completing this course will be able to:

• learn and apply the fundamentals of the General Linear Model, with a focus on applied correlation and regression analysis
• learn and apply basic and intermediate data visualization skills for understanding and presenting scientific findings
• accomplish these first two goals using the R statistical software environment

Course Grading Information:

Activity/Performance Measure	Percentage/Points
Statistical Analysis Homework Assignments	65%
In-Class Quizzes on Readings and Lecture Material	25%
Final In-Class Comprehensive Quiz	10%

Grading Scale

Percentage	Letter Grade
93-100	A
90-92	A-
87-89	B+
83-86	B
80-82	B-
77-79	C+
73-76	C
70-72	C-
67-69	D+
63-66	D
60-62	D-
0-59	F

Attendance/Participation:

Although it is not formally part of the grade, attendance is expected and required except for the usual reasons recognized and accommodated by UNCG and for significant professional experiences (e.g., presenting at a conference). Let me know ASAP if you expect to miss a class or if a virtual option (e.g., in the event of infection or illness) would be suitable for a day.

Course Materials Purchased by the Students:

Keith, T. Z., Reynolds, M. R., & Caemmerer, J. M. (2026). Multiple regression and beyond: An introduction to multiple regression and structural equation modeling (4th ed.). Routledge. Available in e-book and paperback formats. Paperback ISBN: 9781032520971.