Designing Experiments and Measuring Learning

This lecture covers the design of experiments in educational research, focusing on the challenges unique to the social sciences. Topics include hypothesis formulation, variables in experiments, controlling for individual differences, and statistical tests for analyzing learning outcomes. The instructor discusses the Ballmer peak hypothesis, experimental designs, and strategies to mitigate biases in research. The lecture emphasizes the importance of construct validity and the impact of selection bias on research outcomes.