The prediction of change: normative neuropsychological trajectories.
While the application of normative standards is vital to the practice of clinical neuropsychology, data regarding normative change remains scarce despite the frequency of serial assessments. Based on 285 normal individuals, we provide co-normed baseline data with demographic adjustments and test-retest standardized regression based (SRB) models for three time points for several measures. These models delineate normal, expected change across time, and yield standardized z-scores that are comparable across tests. Using a new approach, performance on any previous trial was accounted for in the subsequent models of change, yielding serial normative formulas that model change trajectories rather than simple change from point to point. These equations provide indices of deviation from expected baseline and change for use in clinical or research settings.
Attix
Deborah K
DK
Division of Neurology and Medical Psychology, Duke University Medical Center, Durham, NC 27710, USA. koltai@duke.edu
Story
Tyler J
TJ
Chelune
Gordon J
GJ
Ball
J D
JD
Stutts
Michael L
ML
Hart
Robert P
RP
Barth
Jeffrey T
JT
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000704:Analysis of Variance; D003071:Cognition / Q000502:physiology*; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests / Q000592:standards*; D011237:Predictive Value of Tests; D012016:Reference Values; D013997:Time Factors; D055815:Young Adult