Article

Factor analysis of computerized and traditional tests used in mild brain injury research

National Rehabilitation Hospital, Washington DC 20010, USA.
The Clinical Neuropsychologist (Impact Factor: 1.58). 09/2000; 14(3):287-94. DOI: 10.1076/1385-4046(200008)14:3;1-P;FT287
Source: PubMed

ABSTRACT The present study examines the relation between a set of computerized neuropsychological measures, Automated Neuropsychological Assessment Metrics (ANAM), and a set of traditional clinical neuropsychological tests. Both sets of tests have been employed in recent studies of mild brain injury. Factor analysis and stepwise regression indicate that both sets of tests measure similar underlying constructs of cognitive processing speed, resistance to interference, and working memory. The present findings indicate strong concordance between computerized and traditional neuropsychological measures and support the construct validity of ANAM and similar procedures.

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Available from: Joseph Bleiberg, Jul 20, 2015
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    • "p b 10e-5, n 2 = 0.174 HC N E, D, HM E N D Sum of all significant factors only (n = 7) Factors 1–3, 4–8 F(3, 152) = 12.35, p b 10e-6, n 2 = 0.196 HC N E, D, HM E N D processing. Due to the large number of dependent variables in the neuropsychological tests, standard data reduction techniques were used to reduce the tests using conceptually and theoretically categorized variables (Bilder et al., 2002; Bleiberg et al., 2000; Langenecker et al., 2007; Rund et al., 2006 "
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    • "As anticipated, the results indicated a substantial relationship between ANAM throughput scores and the WJ-III Cognitive Efficiency cluster, comprised of the visual matching and numbers reversed tests. The substantial correlation between the ANAM Matching to Sample scale and the WJ-III Fluid Reasoning cluster (concept formation and analysis-synthesis) was consistent with other findings (Bleiberg et al., 2000), which suggest that verbal coding may be involved in performance on this ANAM scale to assist recall. The results also indicated a relatively high relationship between the accuracy scores on the ANAM Matching to Sample and Logical Reasoning scales and the WJ-III General Intellectual Ability score (the g factor). "
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    ABSTRACT: This study examines the relationship between a computerized neuropsychological assessment battery, the Automated Neuropsychological Assessment Metrics (ANAM) and a widely used ability measure, Woodcock-Johnson III Tests of Cognitive Ability (WJ-III). Results indicated substantial relationship between the ANAM throughput (accuracy/response time) scores and the WJ-III Cognitive Efficiency cluster. An unexpectedly strong relationship was evident between accuracy scores on the ANAM Logical Reasoning scale and the WJ-III General Intellectual Ability score, purporting to measure the g factor. The findings support the viability of the ANAM as a time- and cost-effective tool for appraisal of cognitive function.
    The Clinical Neuropsychologist 04/2008; 22(2):305-20. DOI:10.1080/13854040701281483
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    • "Factor analysis employing both selected ANAM and traditional neurocognitive measures used to assess concussion and head injury (Bleiberg et al., 2000) "
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