PSYC 217 Lecture Notes - Lecture 8: Factorial Experiment, Repeated Measures Design, Mental Chronometry
Document Summary
Understand what a factorial design is and why these designs are useful. Identify when a factorial design is being used in various research scenarios. Interpret graphs and data sets depicting results from factorial designs (i. e. , estimate main effects, interactions, simple effects) Explain differences between independent groups, repeated measures, and mixed factorial designs. Top down effect: when processing in this style, we learn perceptions from starting at a broad, large concept, and working down to more detailed information. Bottom up effect: starts with sensory input. a stimulus. leads to thoughts. What is it: experiment that has two+ factors, each with discrete possible values or. Level would be a subdivision of a factor. Ex. factors = time in instruction and setting. time in instruction has two levels (1 hour per week and 4 hours per week), and setting has 2 levels (in-class and pull- out). Suppose we want to understand how vision and sound affect our actions.
