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Response latencies and the computerized assessment of intelligence
Affiliation:1. Optoelectronics Convergence Research Center and Department of Materials Science and Engineering, Chonnam National University, 300, Yongbong-Dong, Buk-Gu, Gwangju 61186, South Korea;2. Department of Chemical Sciences and B Institute, University of Limerick, Limerick V94 T9PX, Ireland;3. Future Agricultural Research Division, Water Resource and Environment Research Group, Rural Research Institute, Korea Rural Community Corporation, Ansan-Si, Gyeonggi-do 15634, South Korea;4. School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-Gu, Gwangju 500-712, South Korea;1. Department of Psychology, University of Oregon, United States;2. Beckman Institute and Department of Psychology, University of Illinois at Urbana-Champaign, United States;1. Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel;2. Laboratory of Brain and Cognition, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD, USA
Abstract:A study was undertaken to examine the relationship between response latencies to verbal ability test items administered by computer and overall verbal intelligence test scores. Sixty-four undergraduate students responded to a test of verbal ability under four conditions of alternate test forms (A or B) and modes of administration (computerized vs paper-and-pencil). The response latencies recorded during computerized testing, averaged for each subject, showed a negative correlation with overall test scores as would be predicted from a speed-of-information-processing perspective of human intelligence (Jensen, 1982a, b; Vernon, 1983). This inverse relationship was evident in every condition of test form and mode of administration, thereby demonstrating the generalizability of these findings. Discussion considered the implications of test speededness for the results of this study and provided suggestions for future research employing response latency data as a means for studying the cognitive processes underlying intelligent behaviour.
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