Introduction to Data Analysis in Psychological Science

The application of statistical concepts and techniques to the analysis of research data in psychological science. As one of the two prerequisites for the research methods course required for the psychology major, emphasis is placed on hands-on work with real data. Students will learn to select, conduct, interpret, visualize, write up, read, and evaluate analyses. The course has an accompanying lab component. Students must register for a lecture and lab at the same time.

Units: 1

Max Enrollment: 25

Prerequisites: PSYC 101 or NEUR 100 or a score of 5 on the Psychology AP exam, or a score of 5, 6, or 7 on the Higher Level IB exam, or permission of the instructor. Fulfillment of the Quantitative Reasoning (QR) component of the Quantitative Reasoning & Data Literacy requirement. Not open to students who have taken or are taking BISC 198, ECON 103/SOC 190, QR/STAT 150, STAT 160, or POL 299, except for psychology majors and neuroscience majors. Not open to students who have taken PSYC 205.

Instructor: Bahns, Brinkman, Cheek, Wilmer

Distribution Requirements: SBA - Social and Behavioral Analysis

Degree Requirements: DL - Data Literacy (Formerly QRF); DL - Data Literacy (Formerly QRDL)

Typical Periods Offered: Fall and Spring

Semesters Offered this Academic Year: Fall; Spring