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Validating Future Force Performance Measures (Army Class)

2009 Performance
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Release : 2009
Genre : Performance
Kind : eBook
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Book Synopsis Validating Future Force Performance Measures (Army Class) by : Karen O. Moriarty

Download or read book Validating Future Force Performance Measures (Army Class) written by Karen O. Moriarty. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: To meet the challenges facing the Army, the Army needs predictor measures that will enhance entry-level Soldier selection and classification. One of the purposes of the Army Research Institute for Behavioral and Social Sciences (ARI's) Army Class project is to provide the Army with recommendations on which predictor measures, in particular measures of non-cognitive attributes (e.g., interests, values, and temperament), demonstrate the greatest potential to inform entry-level Soldier selection and classification decisions. The present report documents the development of criterion measures to assist in these analyses. A second purpose of the Army Class project is to develop and pilot job knowledge tests (JKTs) that can be used to aid reclassification decisions. If Soldiers are shown to possess critical knowledge, skills, and attributes (KSAs) for their new jobs, this could reduce training requirements and increase force readiness. This report documents the development of reclassification JKT test items.

Validating Future Force Performance Measures (Army Class)

2009 Employees
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Release : 2009
Genre : Employees
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Validating Future Force Performance Measures (Army Class) by :

Download or read book Validating Future Force Performance Measures (Army Class) written by . This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: The Army needs the best personnel to meet the emerging demands of the 21st century. Accordingly, the Army is seeking recommendations on new experimental predictor measures that could enhance entry-level Soldier selection and classification decisions, in particular, measures of non-cognitive attributes (e.g., interests, values, temperament). The U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) is conducting a longitudinal criterion-related validation research effort to collect data to inform these recommendations. Data on experimental predictors were collected from about 11,000 Soldiers. Training criterion data were collected for differing subsets of the predictor sample in the first of three planned criterion measurement points. Soldiers were drawn from two samples: (a) job-specific samples targeting six entry-level Military Occupational Specialties (MOS) and (b) an Army-wide sample with no MOS-specific requirements. In the analyses reported here, the value of the experimental predictor measures to enhance new Soldier selection was examined. Overall, many of the experimental predictors significantly incremented the Armed Forces Qualification Test (AFQT) in predicting Soldier performance and retention during training. In addition, the experimental predictors generally exhibited smaller subgroup mean differences (by gender, race, and ethnicity) than the AFQT.

Validating Future Force Performance Measures (Army Class): End of Training Longitudinal Validation

2009
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Release : 2009
Genre :
Kind : eBook
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Book Synopsis Validating Future Force Performance Measures (Army Class): End of Training Longitudinal Validation by :

Download or read book Validating Future Force Performance Measures (Army Class): End of Training Longitudinal Validation written by . This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: The Army needs the best personnel to meet the emerging demands of the 21st century. Accordingly, the Army is seeking recommendations on new experimental predictor measures that could enhance entry-level Soldier selection and classification decisions, in particular, measures of non-cognitive attributes (e.g., interests, values, temperament). The U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) is conducting a longitudinal criterion-related validation research effort to collect data to inform these recommendations. Data on experimental predictors were collected from about 11,000 Soldiers. Training criterion data were collected for differing subsets of the predictor sample in the first of three planned criterion measurement points. Soldiers were drawn from two samples: (a) job-specific samples targeting six entry-level Military Occupational Specialties (MOS) and (b) an Army-wide sample with no MOS-specific requirements. In the analyses reported here, the value of the experimental predictor measures to enhance new Soldier selection was examined. Overall, many of the experimental predictors significantly incremented the Armed Forces Qualification Test (AFQT) in predicting Soldier performance and retention during training. In addition, the experimental predictors generally exhibited smaller subgroup mean differences (by gender, race, and ethnicity) than the AFQT.

Validating Future Force Performance Measures (Army Class): Reclassification Test and Criterion Development

2009
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Release : 2009
Genre :
Kind : eBook
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Book Synopsis Validating Future Force Performance Measures (Army Class): Reclassification Test and Criterion Development by :

Download or read book Validating Future Force Performance Measures (Army Class): Reclassification Test and Criterion Development written by . This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: To meet the challenges facing the Army, the Army needs predictor measures that will enhance entry-level Soldier selection and classification. One of the purposes of the Army Research Institute for Behavioral and Social Sciences (ARI's) Army Class project is to provide the Army with recommendations on which predictor measures, in particular measures of non-cognitive attributes (e.g., interests, values, and temperament), demonstrate the greatest potential to inform entry-level Soldier selection and classification decisions. The present report documents the development of criterion measures to assist in these analyses. A second purpose of the Army Class project is to develop and pilot job knowledge tests (JKTs) that can be used to aid reclassification decisions. If Soldiers are shown to possess critical knowledge, skills, and attributes (KSAs) for their new jobs, this could reduce training requirements and increase force readiness. This report documents the development of reclassification JKT test items.

Select21 Soldier Job Performance Measurement Tools

2005 Performance standards
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Author :
Release : 2005
Genre : Performance standards
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Book Synopsis Select21 Soldier Job Performance Measurement Tools by :

Download or read book Select21 Soldier Job Performance Measurement Tools written by . This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: 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 tools that will be used to measure the job performance and organizational "fit" of Soldiers participating in the Select21 research. Soldiers' scores on these performance measures will be linked to their scores on experimental pre-enlistment tests to determine how well the pre-enlistment tests might forecast future job performance.

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