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I__. - International Military Testing Association

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INTRODUCTION<br />

DEVELOPMENT OF EQUATIONS FOR PREDICTING<br />

TESTING IMPORTANCE OF TASKS<br />

Walter G. Albert<br />

William J. Phalen<br />

Air Force Human Resources Laboratory<br />

The Specialty Knowledge Test (SKT) is an important component<br />

of the Weighted Airman Promotion System (WAPS). SKTs are lOOitem<br />

multiple choice achievement tests designed to measure job<br />

knowledge in various Air Force Specialties (AFSs). They are<br />

written annually for each AFS by teams of four to eight subject<br />

matter experts (SMEs). The SMEs are senior NCOs in the AFS for<br />

which a particular test is being written. A psychologist<br />

experienced in test construction procedures is assigned to each<br />

team to serve as a group facilitator.<br />

A critical part of the test construction process for any SKT<br />

is the preparation of the test outline, which guides the SMEs in<br />

determining how many questions they should write for each<br />

knowledge or duty area of the AFS. The outline used in test<br />

construction is generated in one of two ways. For many years,<br />

the SMEs created their own outline, which is referred to as the<br />

Conventional Test Outline (CTO). Recently, an automated process<br />

has been used to develop outlines for some AFSs. With this<br />

process, the Automated Test Outline (ATO) is available for use<br />

when the test development team arrives. The AT0 is generated<br />

from information gathered from testing importance (TI) surveys,<br />

where senior NCOs are asked to rate the importance of each task<br />

as to whether the knowledge(s) required to perform it should be<br />

covered by the SKT.<br />

An important advantage of the AT0 procedure over the CT0<br />

procedure is the direct link established between important tasks<br />

performed by incumbents in the AFS and test questions which<br />

address the knowledges required to perform those tasks. The AT0<br />

process has been implemented in several AFSs, but currently it is<br />

regarded as an experimental procedure and is being evaluated<br />

against the CTO. This paper investigates whether information<br />

routinely collected from occupational surveys can be used to<br />

generate accurate TI values for each task. The resulting<br />

prediction equations could then be used to select tasks for<br />

inclusion in testing importance surveys of previously unsurveyed<br />

AFSs or to serve as a surrogate for TI, when a TI survey cannot<br />

be accomplished.<br />

OCCUPATIONAL SURVEYS<br />

An occupational inventory containing up to 2,000 task<br />

statements is administered to a large number of incumbents in<br />

each AFS. These tasks are grouped into seven to twenty duty<br />

areas. Each duty area is comprised of a group of tasks that form<br />

a major activity associated with the job specialty. Each<br />

310<br />

_ .

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