Mechanical aptitude correlates strongly with general intelligence scores
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Peer-reviewed literature and psychological testing frameworks support the premise that specific aptitudes, including mechanical and spatial components, align closely with hierarchical models of general intelligence.
Abstract This study examined sex differences in tech tilt, based on within-subject differences in technical abilities (e.g., mechanical and electrical) and academic abilities (math or verbal) on the Armed Services Vocational Aptitude Battery (ASVAB). The within-subject differences produced two types of tilt: tech tilt (tech > academic), indicating stronger technical abilities, and academic tilt (academic > tech), indicating stronger academic abilities. Tech tilt was correlated with math and verbal abilities on college aptitude tests (SAT, ACT, PSAT) and with jobs and college majors in STEM (science, technology, engineering, and math) and humanities. Males showed a tech tilt bias, and females showed an academic tilt bias. The tilt biases persisted after controlling for general intelligence (g). Tech tilt correlated negatively with academic abilities on the college aptitude tests (SAT, ACT, PSAT), with larger effects for females. In addition, relations of tech tilt with STEM jobs and majors were generally larger (and more often significant) for males, but only for tech tilt based on technical and verbal abilities. The negative relations of tech tilt with academic abilities on the college aptitude tests are consistent with investment theories, which predict that investment in one ability (technical) comes at the expense of competing abilities (academic). The sex differences in tech tilt and STEM support trait complexes involving abilities, interests, and vocational preferences (e.g., people versus things). Future research should examine whether spatial abilities and vocational interests mediate relations of tech tilt with sex and STEM criteria.
Research supports a hierarchical factor structure of intelligence that is consistent with the second-order factor model proposed by Gustafsson in which five first-order factors yield a single second-order factor of General Intelligence (g). Gustafsson’s model was tested with structural equation modeling via the Ball Aptitude Battery (BAB), a measure of aptitudes and vocational interests. This study focuses on the tests from the BAB that are believed to measure various aspects of intelligence: Numerical Computation, Numerical Reasoning, Inductive Reasoning, Analytical Reasoning, Paper Folding, Idea Fluency, Idea Generation, Vocabulary, Associative Memory, Auditory Memory, Clerical, and Writing Speed. Results indicate that the factor structure of the BAB is consistent with Gustafsson’s second-order factor model of intelligence. Implications of this finding are discussed.
Previous research has shown that psychometrically assessed cognitive abilities are predictive of achievements in science, technology, engineering and mathematics (STEM) even in highly selected samples. Spatial ability, in particular, has been found to be crucial for success in STEM, though its role relative to other abilities has been shown mostly when assessed years before entering higher STEM education. Furthermore, the role of spatial ability for mathematics in higher STEM education has been markedly understudied, although math is central across STEM domains. We investigated whether ability differences among students who entered higher STEM education were predictive of achievements during the first undergraduate year. We assessed 317 undergraduate students in Switzerland (150 from mechanical engineering and 167 from math-physics) on multiple measures of spatial, verbal and numerical abilities. In a structural equation model, we estimated the effects of latent ability factors on students' achievements on a range of first year courses. Although ability-test scores were mostly at the upper scale range, differential effects on achievements were found: spatial ability accounted for achievements in an engineering design course beyond numerical, verbal and general reasoning abilities, but not for math and physics achievements. Math and physics achievements were best predicted by numerical, verbal and general reasoning abilities. Broadly, the results provide evidence for the predictive power of individual differences in cognitive abilities even within highly competent groups. More specifically, the results suggest that spatial ability's role in advanced STEM learning, at least in math-intensive subjects, is less critical than numerical and verbal reasoning abilities.
an assessment used to measure the cognitive ability and problem-solving aptitude of prospective employees for a range of occupations. The test was created
The Wonderlic Contemporary Cognitive Ability Test (formerly the Wonderlic Personnel Test) is an assessment used to measure the cognitive ability and problem-solving aptitude of prospective employees for a range of occupations. The test was created in 1936 by Eldon F. Wonderlic. It consists of 50 multiple choice questions to be answered in 12 minutes. The score is calculated as the number of correc
The…
The Wonderlic test, as a vocational and intelligence test, falls under the field of Industrial and Organizational Psychology. As a…
In an article written in Psychological Reports, T. Matthews and Kerry Lassiter report that the Wonderlic test "was most strongly associated with overall intellectual functioning," which is what it is purported to measure. However, Matthews and Lassiter did not find the Wonderlic to be a successful measure of fluid and crystallized intelligence, and they stated that "the Wonderlic test scores did not clearly show convergent or divergent validity evidence across these two broad domains of cognitive ability." In academic testing, the Wonderlic test has shown high correlations with aptitude tests such as the General Aptitude Test Battery.
A more recent study by Hicks and colleagues from the Georgia Institute of Technology similarly argued that evidence concerning the test's validity was limited. Their research showed "that Wonderlic has no direct relationship to fluid intelligence once its commonality to working memory capacity is accounted for", and that the Wonderlic "was a significant predictor of working memory capacity for subjects with low fluid intelligence, but failed to discriminate as well among subjects with high fluid intelligence". These findings suggest that the Wonderlic is less informative when administered to higher-than-average ability individuals or groups, meaning th
The Wonderlic Contemporary Cognitive Ability Test (formerly the Wonderlic Personnel Test) is an assessment used to measure the cognitive ability and problem-solving aptitude of prospective employees for a range of occupations. The test was created in 1936 by Eldon F. Wonderlic. It consists of 50 multiple choice questions to be answered in 12 minutes. The score is calculated as the number of correct answers given in the allotted time, and a score of 20 is intended to indicate average intelligence.
The Wonderlic Personnel Test was based on the Otis Self-Administering Test of Mental Ability with the goal of creating a short-form measurement of cognitive ability.
In 2015, Wonderlic introduced WonScore, a cloud-based assessment platform that expanded upon the Wonderlic Personnel Test by incorporating personality and motivation measures alongside cognitive ability testing for personnel selection
The Wonderlic test, as a vocational and intelligence test, falls under the field of Industrial and Organizational Psychology. As a personnel test the Wonderlic is used to gauge an applicant's job potential, educational potential, and training potential. Six forms of this test are made available (A, B, C, D, E, and F) in which Wonderlic suggests that when two of these versions are to be used, the best combinations are A and B or D and F. However, a study conducted by psychologists Kazmier and Browne (1959) shows that neither of these forms can be regarded as directly equivalent. While there is no lack of tests that could be used in place of the Wonderlic, such as the IQ or the Mechanical Aptitude Test, it is a quick and simple vocational test for personnel recruitment and selection. The Wonderlic test has been peer reviewed by the American Psychological Association and has been deemed worthy of field applications to the industrial use of personnel testing. Other sources can be found on the database APA PsycNET.
In an article written in Psychological Reports, T. Matthews and Kerry Lassiter report that the Wonderlic test "was most strongly associated with overall intellectual functioning," which is what it is purported to measure. However, Matthews and Lassiter did not find the Wonderlic to be a successful measure of fluid and crystallized intelligence, and they stated that "the Wonderlic test scores did not clearly show convergent or divergent validity evidence across these two broad domains of cognitive ability." In academic testing, the Wonderlic test has shown high correlations with aptitude tests such as the General Aptitude Test Battery.
A more recent study by Hicks and colleagues from the Georgia Institute of Technology similarly argued that evidence concerning the test's validity was limited. Their research showed "that Wonderlic has no direct relationship to fluid intelligence once its commonality to working memory capacity is accounted for", and that the Wonderlic "was a significant predictor of working memory capacity for subjects with low fluid intelligence, but failed to discriminate as well among subjects with high fluid intelligence". These findings suggest that the Wonderlic is less informative when administered to higher-than-average ability individuals or groups, meaning there is more measurement error and less practical utility in giving the test to individuals higher in cognitive ability. Partially on this basis, they argued that organizations interested in personnel selection should consider administering measures of established constructs that are grounded in a more theoretical framework, such as fluid intelligence or working memory capacity.
The Wonderlic Personnel Test has been widely studied as a predictor of success in academic and organizational settings. Several meta-analytic studies have reported positive correlations between Wonderlic test scores and job and training performance. A 2024 meta-analysis by Robie et al. found significant positive correlations between Wonderlic scores and school success outcomes.
SPECIFIC FACTORS () V Verbal Aptitude N Numerical Aptitude S Spatial Aptitude P Form Perception Q_ Clerical … Multiple Aptitude Test Batteries General Aptitude Test Battery Armed Services Vocational Aptitude Battery … Battery Differential Aptitude Test Employee Aptitude Survey Mechanical Aptitude Tests Bennett Mechanical Comprehension
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