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The application allows applied researchers doing a masked visual analysis

MVAIOS

by Derek Cacciotti

What is it about?

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.

App Details

Version
1.2
Rating
NA
Size
13Mb
Genre
Reference Education
Last updated
November 12, 2020
Release date
September 19, 2020
More info

App Screenshots

App Store Description

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.

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