|Test Format:||36 Items
|Time Limit:||20 minutes|
The Mechanical Aptitude Test (MAT) is a quick 20-minute evaluation of a person's ability to learn production and maintenance job activities. This test is not designed to measure specific knowledge and skills, but rather the potential to be successful in an apprenticeship or trainee program for maintenance jobs such as maintenance mechanics, industrial machinery mechanics, and millwrights, or production jobs such as machine operators and tool setters. It has been shown to have less adverse impact than earlier measures of mechanical aptitude.
When you purchase this product, you purchase online test administration credits. These test credits, once purchased, are placed in your online account and do not expire. Each credit can then be assigned to a test-taker for administration of this test via an internet-connected computer.
System requirements for our Online Testing System are available on our help system.
All tests administered on the Online Testing System are required to be proctored by a representative or third-party agent of the company.
A Getting Started Guide is also available for new users of our Online Testing System.
Categories tested include:
|– Household Objects||– Work: Production and Maintenance||– School: Science and Physics|
|– Hand and Power Tools|
Ramsay Corporation's Mechanical Aptitude Test (MAT) was
professionally-developed in 2004 as a short-measure of mechanical aptitude with reduced
adverse impact based on gender and race. The MAT has been found to be highly correlated with other measures such as the Wiesen Test of Mechanical Aptitude (WTMA) and the Bennett Test of Mechanical Comprehension. The MAT should be useful in selecting apprentices, trainees, or
other candidates who are learning and performing production and maintenance job
Great care was taken in selecting questions
that relate to everyday items and common knowledge to reduce adverse impact
(early data collection reveals this test to be very gender friendly).
Ramsay Corporation felt the need to develop the MAT to address several issues in the realm of
mechanical aptitude testing. Specifically, the MAT fills
the following voids:
- The need for an updated measure of mechanical aptitude.
- The need for a short and user-friendly measure of
- The need for a measure without reference to city/rural or
- The need for a measure appropriate to the context of 21st
In order to ensure this test can measure the ability to learn
and perform production and maintenance jobs, the
MAT underwent criterion-related validation studies for both
maintenance and production applications. This test has been used in 13
content validation studies and 2 criterion-related validation studies.
- It was found to be significantly correlated, r = .48, p < .01,
With scores on a test of mechanical job knowledge for a group of 109 male and female post-secondary technical school students.
- Scores on the MAT
were found to correlate significantly, r = .40, p < .01, with grade point average (GPA) among a similar group of 159 male and female post-secondary technical school students.
- In a study of production workers, the Mechanical Aptitude
Test was found to be significantly correlated with "ability to troubleshoot
equipment" and "ability to enter and receive information using a computer".
Additionally, validation studies were completed to
determine the construct validity of this test. The MAT was found to be significantly correlated with scores on the
Wiesen Test of Mechanical Aptitude, r (160) = .72, p < .01, and the Bennett Test of Mechanical
Comprehension, r (161) = .80, p < .01.
O*NET† Job Titles
Below are the O*NET job titles that were determined to be applicable to this test during the job analysis. Click the Job Title for more information about tasks performed, tools and technology used, job knowledge areas and abilities required, as well as related job titles.
This assessment is intended for use with jobs that are sufficiently related.
[Industrial Machinery Mechanics]
Repair, install, adjust, or maintain industrial production and processing machinery or refinery and pipeline distribution systems.
†O*NET™ is a trademark of the U.S. Department of Labor, Employment and Training Administration.
This data was calculated from a group of 12,060 applicants.
|Std. Error of Meas.|
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