ResearchTopic-Science of Measurement: Measuring Change in the Relations Amongst Cognitive, Health, and Socioemotional Factors at the Single-Subject Level and Improving Prediction of Critical Outcomes
Abstract
This proposal outlines a three-year research plan to improve personnel assessment techniques through better measurement of individuals and collectives across multiple domains of interest to the Army. The proposed research has three aims: (1) to evaluate assessment techniques that measure intraindividual variability in cognitive and psychophysiological dynamics; (2) to develop and implement network mapping models that generate personalized intraindividual variability profiles of cognitive, health, and socioemotional attributes; and (3) to validate these techniques using machine learning to predict academic and job performance. The research will involve concurrent individual differences testing and longitudinal tracking of ASU and UTA undergraduate students. Participants will complete a battery of cognitive and psychophysiological assessments at the beginning/end of the semester and daily during the semester. The daily assessments will include cognitive tasks, health metrics from wearable watches, and socioemotional measures. The overarching goal is to extract idiographic profiles of cognitive, health, and socioemotional measures that will be used to build feature sets composed of construct scores, their interrelations, and intraindividual variability in these measures. These feature sets will be used with machine learning techniques to predict academic and job performance. The proposed research has the potential to support Army areas of interest by improving personnel assessment techniques that can summarize data from individuals and collectives across multiple timepoints. The results of this research could have implications for a variety of domains, including military selection and training, and could also have broader implications for understanding individual and collective performance across a range of settings.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 16, 2023
- Source ID
- W911NF2310300
Entities
People
- Gene Brewer
Organizations
- Arizona State University
- Army Contracting Command
- United States Army