Recent
projects

Project:
Development
and validation of selection and classification tests for the U.S. Army
(Project A)
Client:
U.S. Army Research Institute
Problem

In the early 1980s Congress challenged the military services to validate
the Armed Services Vocational Aptitude Battery (ASVAB), using
on-the-job performance as a criterion. Previous ASVAB validity studies
had used training data as the criterion.
The Army
took this challenge one step further and sought:
- To
develop new selection and classification tests and measures of
job performance
- To
validate the ASVAB and new measures against the job performance
measures.
The Army
sponsored two large-scale development and validation projects, Project
A (concurrent validation study including more than 9,000 personnel)
and Building and Retaining the Career Force (a longitudinal
validation study of about 40,000 soldiers).
Approach

AIR
had prime responsibility for two components of this project. The first
component was the creation and maintenance of a longitudinal research
database and the design and implementation of validation analyses
based on the data assembled.
The database
included application, accession, training, and performance information
from existing Army and Department of Defense sources on a total of
several million Army applicants from FY-81. It also included additional
data generated from the testing of 50,000 to 100,000 soldiers during
the project.
In conducting
analyses of these data, we designed and evaluated solutions
to several significant statistical problems:
- Restriction
of range
- Multiple
criterion measures
- Generalizing
validity to all Army occupations
- Assessing
differential classification efficiency
- Identifying
race/gender bias
- Cross-validation
methodology.
We conducted
concurrent and longitudinal validity analyses.
We then
developed job performance measures for first- and second-tour
soldiers in five Army occupational specialties. For each specialty,
we identified a representative set of critical job tasks and then
developed hands-on, job knowledge, and performance rating measures
for each of these tasks. We planned and conducted the collection of
these job performance measures in field tests and concurrent validation
efforts.
The specialties
for which AIR developed job measures included:
- Radio/Teletype
Operator
- Medical
Specialist
- Administrative Specialist
- Military
Police
-
Light Wheel Vehicle Mechanic
Building
the Career Force

The extension
of Project A, Building the Career Force, examined performance
of soldiers in their second tour of duty who were beginning a career
in the Army. The research goal of the Career Force project involved
investigating job performance of soldiers over a longer period
and examining measures that might improve the prediction of long-term
performance.
AIR's
responsibilities in this project were threefold:
- Develop
and update criterion measures
- Create
and maintain the project database
-
Design and implement the validity analyses
First,
we were responsible for developing and updating criterion measures
for several jobs, such as Military Police, Medical Specialist, Administrative
Specialist, and Vehicle Mechanic. The measures included hands-on work
sample tests and pencil-and-paper measures of job knowledge. To develop
the hands-on measures, we conducted task analyses to identify the
observable steps necessary for task completion. We designed both hands-on
and pencil-and-paper measures to be performance-based, rather than
exclusively knowledge-based.
Second,
we created and maintained the database. This included collecting
data using pencil-and-paper and computerized testing methods and editing
the data for obvious problems (i.e., values outside accepted ranges
and incomplete identification information). In addition, we devised
methods for handling missing data, including imputing predictor and
criterion scores. From the main database, we prepared data files for
analysts using single sources and combining various sources according
to the analysis specifications.
Third,
AIR had primary responsibility for designing and implementing the
validation analyses. This involved assessing the validity of
the predictors for predicting training performance and job performance
at various stages in the soldiers' careers. We assessed the factors
that define performance over time and evaluated measures of second-tour
supervisory performance, such as role-plays and a pencil-and-paper
measure.
Results

The
results showed that the ASVAB is a very good predictor of job performance,
as were several of the new tests. Consequently, the military services
have decided to add one of the tests we developed and validated in
this effort to the ASVAB. Numerous research papers resulted from these
projects, and a book is in press.
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