Raymond Chen on Test Science Research Document Library https://research.testscience.org/researchers/raymond-chen/ Recent content in Raymond Chen on Test Science Research Document Library Hugo -- 0.129.0 en-us Institute for Defense Analyses Fri, 01 Jan 2016 00:00:00 +0000 Tutorial on Sensitivity Testing in Live Fire Test and Evaluation https://research.testscience.org/post/2016-tutorial-on-sensitivity-testing-in-live-fire-test-and-evaluation/ Fri, 01 Jan 2016 00:00:00 +0000 https://research.testscience.org/post/2016-tutorial-on-sensitivity-testing-in-live-fire-test-and-evaluation/ A sensitivity experiment is a special type of experimental design that is used when the response variable is binary and the covariate is continuous. Armor protection and projectile lethality tests often use sensitivity experiments to characterize a projectile’s probability of penetrating the armor. In this mini-tutorial we illustrate the challenge of modeling a binary response with a limited sample size, and show how sensitivity experiments can mitigate this problem. We review eight different single covariate sensitivity experiments and present a comparison of these designs using simulation. A sensitivity experiment is a special type of experimental design that is used when the response variable is binary and the covariate is continuous. Armor protection and projectile lethality tests often use sensitivity experiments to characterize a projectile’s probability of penetrating the armor. In this mini-tutorial we illustrate the challenge of modeling a binary response with a limited sample size, and show how sensitivity experiments can mitigate this problem. We review eight different single covariate sensitivity experiments and present a comparison of these designs using simulation. Additionally, we cover sensitivity experiments for cases that include more than one covariate, and highlight recent research in this area.

Suggested Citation

Johnson, Thomas, Laura Freeman, and Raymond Chen. Tutorial on Sensitivity Testing in Live Fire Test and Evaluation. IDA Document NS D-5829. Alexandria, VA: Institute for Defense Analyses, 2016.

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