Randomized experiments
Channel: Mikko Rönkkö
Date: 2019-07-12

The video focused on randomized experiment as a strategy for making causal claims. In randomized experiments, a sample from a population is split randomly into treatment and control groups. Because of the random assignment, any observed effects can be attributed to the treatment rather than chance. 

However, in situations where full randomization isn't feasible, quasi-experiments offer an alternative. While they don't have full experimental control, they use certain elements of the experimental approach to draw conclusions. Various types of quasi-experimental designs, such as separate sample pretest-posttest and interrupted time series, were introduced. The lecture concluded by emphasizing the potential benefits of quasi-experiments in real-life settings.

Link to slides: https://osf.io/362h4