There is a huge amount to cover in the history of education in the United States, so where should we start? This module covers some basic stepping stones to get you started on topics like the rationales behind public school systems, the struggles of teachers, how America has struggled to increase quality and opportunity in schools, how our advancements in science have changed how we educate our children, and why North Carolina is a good microcosm of national trends in education.
This module takes you through the concepts and implementation of the Local Average Treatment Effect (LATE) that's increasingly popular with social science researchers.
This module includes all of the experiments from the Causal Inference Bootcamp and discusses how treatments and controls can exhibit causal effects.
This module covers the expectations and practices that foster sustainable and positive relationships between researchers and community partners around the country and around the world.
First applied to the evaluation of scholarship programs, this quasi-experimental pretest-posttest design has become increasingly popular in recent years.
Tables in research papers can present a vast amount of information. How do you know where to look for key results? How can you find out what assumptions lie beneath the numbers? Do they have anything in common with one another? This module looks at examples for guidance.