Advances in the assessment of cognitive skills using computer-based measurement

Kush, Joseph C.; Spring, Michael B.; Barkand, Jonathan

doi:10.3758/s13428-011-0136-2

Cited by 12 publications

(8 citation statements)

References 84 publications

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“…This process often requires internal measures designed to capture underlying cognitive performances. For example, time sensitive parameters, such as reaction time (e.g., Robbins et al, 1994) or inspection time (e.g., Kush, Spring, & Barkand, 2012), can be measured more accurately using computers. In addition, many computerized tests use algorithms for administration purposes.…”

Section: Cognitive Assessment Using Computersmentioning

confidence: 99%

Applications of Technology in Neuropsychological Assessment

Parsey¹,

Schmitter‐Edgecombe²

2013

The Clinical Neuropsychologist

157

116

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Most neuropsychological assessments include at least one measure that is administered, scored, or interpreted by computers or other technologies. Despite supportive findings for these technology-based assessments, there is resistance in the field of neuropsychology to adopt additional measures that incorporate technology components. This literature review addresses the research findings of technology-based neuropsychological assessments, including computer-, and virtual reality-based measures of cognitive and functional abilities. We evaluate the strengths and limitations of each approach, and examine the utility of technology-based assessments to obtain supplemental cognitive and behavioral information that may be otherwise undetected by traditional paper and pencil measures. We argue that the potential of technology use in neuropsychological assessment has not yet been realized, and continued adoption of new technologies could result in more comprehensive assessment of cognitive dysfunction and in turn, better informed diagnosis and treatments. Recommendations for future research are also provided.

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Section: Cognitive Assessment Using Computersmentioning

confidence: 99%

Applications of Technology in Neuropsychological Assessment

Parsey¹,

Schmitter‐Edgecombe²

2013

The Clinical Neuropsychologist

157

116

View full text Add to dashboard Cite

show abstract

“…Traditionally, testing has been based on paper-and-pencil tasks, but due to greater precision in data collection, ease and consistency of use, and immunity to biases, these methods were gradually replaced by tasks administered on computers (Deary, Liewald, & Nissan, 2011;Kush, Spring, & Barkand, 2012;Logie, Trawley, & Law, 2011). To justify their continued use, evidence of sufficient ecological validity-the extent to which performance is representative to that in a real-life setting-is imperative (Czaja & Sharit, 2003), but due to time-intensiveness and costs, studies of this kind remain sparse in many domains of psychology (Baumeister, Vohs, & Funder, 2007).…”

Section: Introductionmentioning

confidence: 99%

Reheating breakfast: Age and multitasking on a computer-based and a non-computer-based task

Feinkohl

Creß

Kimmerle

2016

Computers in Human Behavior

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Computer-based assessments are popular means to measure individual differences, including age differences, in cognitive ability, but are rarely tested for the extent to which they correspond to more realistic behavior. In the present study, we explored the extent to which performance on an existing computer-based task of multitasking ('cooking breakfast') may be generalizable by comparing it with a newly developed version of the same task that required interaction with physical objects. Twenty younger and 29 older adults performed both the computer-based multitasking task and its laboratory-based equivalent. In each task, two measures determined prospective memory and one measure ascertained speed of completion. The Prospective-Retrospective Memory Questionnaire determined self-reported memory failures. In both age groups, correlations between the computer-based and the laboratory version of the task were largely restricted to a single measure of prospective memory. Whereas performance on the laboratory task correlated with self-reported memory failures across the entire sample, there was no such relationship for the computer-based task.Finally, age group by task interactions suggested that younger and older adults were differentially affected by laboratory versus computer-based assessment. Our study illustrates the need for future evaluations of computer-based psychometric instruments on younger and older samples prior to their application.

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“…IT is a measure of general PS but more specifically a measure of speed of visualization. IT has been shown to be associated with intelligence (Chaiken, 1994) although causality is unclear and of some debate; some findings suggest lack of causality (see Luciano et al, 2005) whereas others suggest that the relationship is causal (Kush, Spring, & Barkand, 2012). A meta-analysis by Grudnik and Kranzler (2001) found IT and intelligence appear to correlate across multiple types of IT tasks.…”

Section: Introductionmentioning

confidence: 99%