Collect outcome data for the treatment and comparison groups
Analyze data and report results using RCT-YES
Make informed decisions regarding the future of the program
Version 1.3.1 Allows for Multiple Treatment Groups and Updates the Variance Formulas for Random Block Designs.
It is highly recommended that users with Version 1.3 click the above link to download it now as it contains important updates.
RCT-YES can help you figure out "what works" in any policy field. You can use the free software for many research designs--including the most rigorous random assignment design--as long as a comparison group exists. RCT-YES estimates impacts that address the following questions:
- What are average effects of the intervention on a given outcome?
- Do intervention effects differ for key subgroups of individuals?
Consider these scenarios:
Suppose a school district randomly sends half of its teachers an email encouraging them to participate in a training on a new classroom technology.
Did the invitation lead to increased usage of the technology?
Did the technology lead to improved outcomes for students?
Suppose a school district rolled out a new math technology in four elementary schools throughout the district. After one year, the schools who received the technology had higher-performing students.
Did the technology lead to this difference?
Suppose a school district asked parents of students to sign up their children for the summer reading program. After participating in the program, students whose parents signed them up had better reading outcomes than other students.
Did the summer program lead to the improvement?