Select21 Experimental Selection and Classification Instruments


Book Description

"Transformation of the U.S. Army into the Future Force involves changes to missions, systems, and organizational structures. To realize the full potential of transformation, the Army must have the means to select and to assign high quality individuals who, as first.term Soldiers, can meet the training and operational demands emerging with transformation to the Future Force. This report is part of a series of research product reports that provide to potential users information on products resulting from a project titled New Predictors for Selecting and Assigning Future Army Soldiers (Select21). The goal of Select21 is to (a) develop and validate new performance predictor measures and (b) propose use of the most promising measures as a foundation for an entry-level selection and classification system adapted to the demands of the 21st century. This report describes the experimental selection and classification instruments. In the Select21 project, Soldiers' scores on these instruments will be linked to their scores on job performance measures to evaluate how well these instruments might forecast future job performance. Instruments that show promise for predicting job performance could supplement the Army's current selection and classification test battery (i.e., the ASVAB, the Armed Services Vocational Aptitude Battery) in the future."--Stinet.




Select21


Book Description

Transformation of the U.S. Army into the Future Force involves changes to missions, systems, and organizational structures. To realize the full potential of transformation, the Army must have the means to select and to assign high quality individuals who, as first.term Soldiers, can meet the training and operational demands emerging with transformation to the Future Force. This report is part of a series of research product reports that provide to potential users information on products resulting from a project titled New Predictors for Selecting and Assigning Future Army Soldiers (Select21). The goal of Select21 is to (a) develop and validate new performance predictor measures and (b) propose use of the most promising measures as a foundation for an entry-level selection and classification system adapted to the demands of the 21st century. This report describes the experimental selection and classification instruments. In the Select2l project, Soldiers' scores on these instruments will be linked to their scores on job performance measures to evaluate how well these instruments might forecast future job performance. Instruments that show promise for predicting job performance could supplement the Army's current selection and classification test battery (i.e., the ASVAB, the Armed Services Vocational Aptitude Battery) in the future.










Technical Report


Book Description







ARI Research Note


Book Description




Future Job Clusters


Book Description

Transformation of the U.S. Army into the Future Force involves changes to missions, systems, and organizational structures. To realize the full potential of transformation, the Army must have the means to select and to assign high quality individuals who, as first-term Soldiers, can meet the training and operational demands emerging with transformation to the Future Force. This report is part of a series of research product reports that provide to potential users information on products resulting from a project titled New Predictors for Selecting and Assigning Future Army Soldiers (Select21). The goal of Select21 is to (a) develop and validate new performance predictor measures and (b) propose use of the most promising measures as a foundation for an entry-level selection and classification system adapted to the demands of the 21st century. The present report describes 16 clusters of jobs that were constructed to cover the domain of Army jobs in the period 2015-2020 and to provlde a framework for the Select21 research. The clusters were constructed for research purposes from future-oriented job information, and they are not advanced as a new structure for classification of Army jobs. Regardless, the clusters provide a potentially useful approach for considering the occupational functions of future Soldiers.




Water Engineering Modeling and Mathematic Tools


Book Description

Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering. This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering. - Includes firsthand experience about artificial intelligence models, utilizing case studies - Describes biological, physical and chemical techniques for the treatment of surface water, groundwater, sea water and rain/snow - Presents the application of new instruments in water engineering




Relations Between Select21 Predictor Measures and First-term Attrition


Book Description

"This report summarizes attrition-related findings for Soldiers who participated in three Select21 reception battalion data collections: the pilot test (September-November 2003), faking research (January-February 2004), and field test (August-September 2004). The report provides estimates of the criterion-related validity of early for pre-concurrent validation versions of the Select21 predictor measures for predicting first-term attrition. As such, the results provided in this report speak to the potential of the measures for selecting future Soldiers who are likely to complete their service obligations"--P. i.