Experimental Design, Methodology, and Data Analysis Procedures
In 20X at 10, Alireza Soltani
In 20F Remote with synchronous components, in the E block, John Pfister
In 21W at 9L, Mark Thornton
In 21S at 9L, John Pfister
This course covers the various ways in which empirical information is obtained and analyzed in psychology and neuroscience. Statistical techniques covered will include ways to describe center and spread, t-tests, linear regression, chi-square, and complex analysis of variance (ANOVA), as well as use of a common statistical program to analyze data. This course is the preferred preparation for PSYC 11, Laboratory in Psychological Science.
Prerequisite: PSYC 1 or PSYC 6 (may be taken concurrently). Because of the large overlap in material covered, no student may receive credit for more than one of the courses ECON 10, GOVT 10, MATH 10, QSS 15, PSYC 10, or SOCY 10 except by special petition. Cannot be taken concurrently with PSYC 11.