The Purpose of Mixed-Effects Models in Test and Evaluation

August, 2019
IDA document: D-10853
FFRDC: Systems and Analyses Center
Type: Documents
Division: Operational Evaluation Division
Authors:

Authors

Rebecca Medlin, John T. Haman, Matthew R. Avery, Heather Wojton See more authors

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document cover, The Purpose of Mixed-Effects Models in Test and Evaluation

All analyses of operational test data should account for uncertainty. Data from operational tests typically include statistical noise contributed from multiple sources. Mixed models, a standard technique for analyzing observations with an intra-group correlation structure, are a common way to model this type of data.