This course covers practical considerations for how to analyze experimental data, with an emphasis on ANOVA and its offshoots (e.g., ANCOVA). A focus is on how design and measurement decisions can inform which statistical techniques are able to be validly conducted. The course also aims to provide intuition and logic behind different analyses so that students can understand what research questions different analyses can (and cannot) answer and which analyses to conduct, given their data and research design. Analyses are conducted in both SPSS and R (as possible). Students can use their preferred language but should be prepared to use (or to learn to use) syntax or scripts for analyses.
