PSYC 3290

This course focuses on training students in the quantitative analysis and communications skills needed to become a researcher in psychology. Students conduct a correlation-based meta-analysis to help them concretely understand sampling distributions and the difficulties associated with obtaining study results that replicate. This meta-analytic foundation is then leveraged to teach traditional psychological analysis techniques (e.g., t-test, analysis of variance, and bi-variate/multiple regression) with an emphasis on maximizing factors that increase the probability of study findings that replicate. The value of interpreting results using effect sizes with confidence intervals is discussed and the logic of null-hypothesis testing is briefly reviewed. [Restriction(s): STAT*2050, STAT*2090. Restricted to students in BAH.PSYC, BAH.PSYC:C, BSCH.NEUR, BSCH.NEUR:C with a minimum 70% cumulative average in Psychology courses.][Department(s): Department of Psychology]