Development of a serious gaming approach for cyber aptitude assessment.

Numerous traditional assessments have been developed to determine suitability of US military recruits for cyber careers. Cyber career field managers expressed a concern there may be well-qualified candidates that lack cyber knowledge, and therefore are not identified with knowledge-based tests. Technological advances such as serious gaming may provide opportunities to assess constructs traditional methods do not effectively measure.

Development of a situational judgment test to supplement current US air force measures of officership.

Aptitude requirements for US Air Force officer commissioning include completion of a college degree and minimum scores on the Air Force Officer Qualifying Test (AFOQT) Verbal and Quantitative composites. Although the AFOQT has demonstrated predictive validity for officer training, the Air Force has striven to improve predictive validity and diversity. To this end, a Situational judgment Test (SJT) was added to the AFOQT in 2015.

Using natural language processing to increase prediction and reduce subgroup differences in personnel selection decisions.

The purpose of this research is to demonstrate how using natural language processing (NLP) on narrative application data can improve prediction and reduce racial subgroup differences in scores used for selection decisions compared to mental ability test scores and numeric application data. We posit there is uncaptured and job-related constructs that can be gleaned from applicant text data using NLP. We test our hypotheses in an operational context across four samples (total = 1,828) to predict selection into Officer Training School in the U.

Identification and evaluation of criterion measurement methods.

Criterion measures vary greatly in terms of their psychometric quality and ease of use. This paper serves two purposes. First, it provides a general summary of different approaches to criterion measurement in a military context.

Development of a performance taxonomy for entry-level military occupations.

U.S. Military services use the Armed Services Vocational Aptitude Battery (ASVAB) and other indicators to select and classify about 150,000 enlisted personnel annually.

Correction for range restriction: Lessons from 20 research scenarios.

Data are often available only for recruits, a range-restricted sample. This creates the potential for mistaken inferences and poor decisions. This is because inferences and decisions are about the population, not the sample.

Tailored Adaptive Personality Assessment System (TAPAS) as an indicator for counterproductive work behavior: Comparing validity in applicant, honest, and directed faking conditions.

The predictive validity of the Tailored Adaptive Personality Assessment System (TAPAS), the U.S. Army's first computer-adaptive personality test incorporating multidimensional pairwise preference items, has been demonstrated for training performance in both the Army and Air Force.

Compilation of Cognitive and Personality Norms for Military Aviators.

Introduction: The assessment of individuals on abilities or other characteristics is based on comparison to a representative sample. General population norms provide an appropriate reference group when the distribution of scores in the sample can be expected to be similar to those for the general population (e.g.

Personnel Selection Influences on Remotely Piloted Aircraft Human-System Integration.

Human-system integration (HSI) is a complex process used to design and develop systems that integrate human capabilities and limitations in an effective and affordable manner. Effective HSI incorporates several domains, including manpower, personnel and training, human factors, environment, safety, occupational health, habitability, survivability, logistics, intelligence, mobility, and command and control. To achieve effective HSI, the relationships among these domains must be considered.

Predictive validity of pilot selection instruments for remotely piloted aircraft training outcome.

Introduction: Demand for remotely-piloted aircraft (RPA) support has increased dramatically over the last decade. Initial efforts to meet the demand focused on cross-training experienced manned aircraft pilots and funneling recent Specialized Undergraduate Pilot Training (SUPT) graduates to RPA pilot training. This approach reduced the number of personnel available for manned airframes and is no longer sustainable.

Improved military air traffic controller selection methods as measured by subsequent training performance.

Introduction: Over the past decade, the U.S. military has conducted several studies to evaluate determinants of enlisted air traffic controller (ATC) performance.