3 credits
Fall 2025 Lecture
This course is a first-semester graduate statistics course for students in psychology and related fields who conduct quantitative research. The course involves an accelerated review of fundamental concepts (e.g., data visualization, central limit theorem probability), after which the course will focus on statistical techniques for between- and within-person designs that include categorical independent variables (e.g., t-tests, ANOVA). Permission of department required.
Learning Outcomes1Develop a deeper conceptual understanding of foundational statistical principles.
2Analyze data correctly by hand and using SPSS.
3Learn to properly interpret and report results of statistical analysis in APA format.
4Learn the foundational principles for best practices for conducting empirical research, including measurement, database management, data cleaning, and syntax.
5Develop skills in managing their own data and will be able to comprehensively analyze and interpret the results of most commonly-used analyses and variance.
Restrictions
made by Purdue students.