Literature DB >> 16120534

Mayo's Older Americans Normative Studies: Age- and IQ-Adjusted Norms for the Boston Naming Test, the MAE Token Test, and the Judgment of Line Orientation Test.

Brett A Steinberg1, Linas A Bieliauskas, Glenn E Smith, Christopher Langellotti, Robert J Ivnik.   

Abstract

Although many extant normative data sets for standardized neuropsychometric instruments feature adjustments for subject variables, there are reasons to believe that improvements in interpretive accuracy that result from such adjustments are less than optimal. In particular, several theoretical considerations suggest that years of formal education may be less closely related to test performances than is general intellectual functioning. In this first of four reanalyses of results from the Mayo Clinic's Older Americans Normative Studies (MOANS) databases, age-adjusted scores on the Boston Naming Test, the MAE Token Test, and the Judgment of Line Orientation Test were indeed found to be more strongly associated with Mayo Age-adjusted WAIS-R Full Scale IQ scores (rs=.608, .473, and .502, respectively) than with education (rs=.310, .306, and .236, respectively) for healthy older examinees (56-99 years). Consistent with the remarks of Dodrill (19971999), these correlations generally decreased at higher levels of intelligence. The magnitude and pattern of such declines varied across the three tests, however, suggesting that IQ-test score associations must be empirically determined rather than assumed to be linear. Tables of Age- and IQ-Adjusted percentile equivalents of MOANS Age-adjusted BNT, Token Test, and JLO scaled scores are presented for eleven age ranges and seven IQ ranges. The article concludes with a discussion of factors that may underlie observed relations among age, intelligence, and neuropsychometric test performances.

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Year:  2005        PMID: 16120534     DOI: 10.1080/13854040590945229

Source DB:  PubMed          Journal:  Clin Neuropsychol        ISSN: 1385-4046            Impact factor:   3.535


  12 in total

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