MVAIOS Hack 1.2 + Redeem Codes

The application allows applied researchers doing a masked visual analysis. In short: Data is entered in the app and submitted by team 1. The data is collected by team 1 during a control condition and after the implementation of the intervention. The collected data is graphically displayed by the application and only shown to team 2. Team 2 analyzes the data. The application makes sure that team 2 is blind to the intervention and makes a decision about intervention effectiveness without the input of team 1. This prevents experimenter bias.



The targeted audience is applied researchers interested in evaluating the effectiveness of an intervention. Instructors teaching a methods class could also use the application to introduce the masked visual analysis approach.