Organization and Components of Psychomotor Ability

Chaiken, Scott R.; Kyllonen, Patrick C.; Tirre, William C.

doi:10.1006/cogp.1999.0729

Cited by 43 publications

(26 citation statements)

References 26 publications

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“…The observation that three factors accounted for roughly half of the overall variance indicates a modest utility in this descriptive dimension reduction approach, and is generally consistent with the notion that a small number of latent constructs underlie a larger set of psychomotor abilities (e.g., Chaiken et al, 2000). An important consideration, however, stems from the specific methodology employed in the Sensory Station.…”

Section: Factor Structure Of Perceptual and Visual-motor Abilities Assupporting

confidence: 61%

“…Historically, batteries that incorporate perceptual and visual-motor skills are described as consisting of a limited number of independent 'psychomotor' factors (e.g., Boyle & Ackerman, 2004;Fleishman & Hempel, 1956;Guilford, 1958) that, in turn, overlap with a more general cognitive factor (Carretta & Ree, 1997;Chaiken, Kyllonen, & Tirre, 2000;Ree & Carretta, 1994). Despite this insight, relatively few of the existing multi-test performance batteries have specifically included measures of low-level sensory functions, such as visual acuity, Contrast Sensitivity, and depth perception, despite the critical role that basic visual sensory abilities play in most human performance contexts, and evidence that they modulate a number of other higher-level perceptual and cognitive abilities (Daffner et al, 2013;Skeel, Schutte, van Voorst, & Nagra, 2006).…”

Section: Factor Structure Of Perceptual and Visual-motor Abilities Asmentioning

confidence: 99%

“…Because these tasks all rely on rapid and accurate processing of distributed visual information and subsequent motor responses, this factor was interpreted as reflecting 'Visual-Motor Control' abilities. Previous research on human psychomotor abilities has frequently identified Visual-Motor Control to be among the latent factors underlying human performance (e.g., Chaiken et al, 2000) that are also among the most significant predictors of real-world outcomes (Griffin & Koonce, 1996;Hunter & Hunter, 1984).…”

Section: Factor Structure Of Perceptual and Visual-motor Abilities Asmentioning

confidence: 99%

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Mapping the structure of perceptual and visual–motor abilities in healthy young adults

et al. 2015

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The ability to quickly detect and respond to visual stimuli in the environment is critical to many human activities. While such perceptual and visual-motor skills are important in a myriad of contexts, considerable variability exists between individuals in these abilities. To better understand the sources of this variability, we assessed perceptual and visual-motor skills in a large sample of 230 healthy individuals via the Nike SPARQ Sensory Station, and compared variability in their behavioral performance to demographic, state, sleep and consumption characteristics. Dimension reduction and regression analyses indicated three underlying factors: Visual-Motor Control, Visual Sensitivity, and Eye Quickness, which accounted for roughly half of the overall population variance in performance on this battery. Inter-individual variability in Visual-Motor Control was correlated with gender and circadian patters such that performance on this factor was better for males and for those who had been awake for a longer period of time before assessment. The current findings indicate that abilities involving coordinated hand movements in response to stimuli are subject to greater individual variability, while visual sensitivity and occulomotor control are largely stable across individuals.

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Section: Factor Structure Of Perceptual and Visual-motor Abilities Assupporting

confidence: 61%

Section: Factor Structure Of Perceptual and Visual-motor Abilities Asmentioning

confidence: 99%

Section: Factor Structure Of Perceptual and Visual-motor Abilities Asmentioning

confidence: 99%

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Mapping the structure of perceptual and visual–motor abilities in healthy young adults

et al. 2015

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“…In the present study confirmatory factor analysis was used to test a nested hierarchical model, a type of structural model that has been used in the cognitive abilities domain (e.g., Chaiken, Kyllonen, & Tirre, 2000;Gustafsson & Balke, 1993;Tirre & Field, 2002;Tirre & Raouf, 1998). In the nested hierarchical model a general factor is posited which underlies all items, and various group factors are posited for smaller sets of items.…”

Section: The Dimensionality Of the Cognitive Failures Questionnairementioning

confidence: 99%

Dimensionality and Determinants of Self-Reported Cognitive Failures

Tirre

2018

Int. j. psychol. res.

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This research examined the dimensionality and the correlates of self-reported cognitive failures. The first goal was to determine what factors, in addition to a general one, are needed to explain self-reported cognitive failures. To explore this issue, both Rasch measurement and confirmatory factor analysis were employed. The second goal was to determine if cognitive failures might be predicted with personality factors, general cognitive ability, and the need for cognition. A sample of 552 USAF airmen responded to the Broadbent Cognitive Failures Questionnaire (CFQ), a Big-Five personality inventory, the Abstract Reasoning Test, the Speeded Cognitive Ability Test, and the Need for Cognition survey. Both Rasch modeling and confirmatory factor analysis indicated that a single factor dominated CFQ responses. Regression analysis showed that CFQ responses were predicted well by personality factors (R = .60). ResumenEsta investigación examinó la dimensionalidad y los determinantes de las fallas cognitivas autoinformadas. El primer objetivo fue determinar qué factores podrían ser necesarios para explicar los fallos cognitivos autoinformados. Para llevar a cabo esto, se emplearon tanto la medición de Rasch como el análisis factorial confirmatorio. El segundo objetivo, era determinar si las fallas cognitivas podrían predecirse a partir de factores de personalidad, la capacidad cognitiva general y la necesidad de cognición. Una muestra de 552 aviadores de la Fuerza Aérea de los Estados Unidos de América (USAF), respondió al Cuestionario de Fallas Cognitivas Broadbent (CFQ), el cuestionario Big-Five de personalidad, la Prueba de Razonamiento Abstracto, la Prueba de Habilidad Cognitiva Acelerada, y la Encuesta de Necesidad de Cognición. Tanto el modelo de Rasch como el análisis factorial confirmatorio indicaron que un solo factor agrupaba las respuestas de CFQ. El análisis de regresión mostró que las respuestas de CFQ se pronosticaron bien por factores de personalidad (R = .60).

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“…A task that involves significant perceptual and response load should be used to assess psychomotor ability [13,14]. It should entail complex perceptual discriminations or trigger a complex motor response.…”

Section: Temperament and Eyehand Co-ordinationmentioning

confidence: 99%