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Finch, W. Holmes; Finch, Maria E. Hernandez – Practical Assessment, Research & Evaluation, 2016
Researchers and data analysts are sometimes faced with the problem of very small samples, where the number of variables approaches or exceeds the overall sample size; i.e. high dimensional data. In such cases, standard statistical models such as regression or analysis of variance cannot be used, either because the resulting parameter estimates…
Descriptors: Sample Size, Statistical Analysis, Regression (Statistics), Predictor Variables
Peer reviewedParker, Kevin C. H.; Atkinson, Leslie – Psychological Assessment, 1995
The statistical ramifications of using equal weights, as compared to regression-based differential weights, in the estimation of Wechsler Adult Intelligence Scale--Revised (WAIS-R) factor scores were explored using WAIS standardization data, based on 1,880 adults. Differences resulting from the two approaches were substantial, as is discussed.…
Descriptors: Computation, Estimation (Mathematics), Factor Structure, Intelligence
Miller, Carlin J.; Marks, David J.; Halperin, Jeffrey M. – Journal of Attention Disorders, 2005
Premorbid intellectual function estimation is a crucial part of patient evaluation following a traumatic brain injury (TBI), especially in individuals with ADHD who are at higher risk for TBI compared to their non-ADHD peers. This study investigates the value of using regression-based estimates of intelligence for concurrently predicting measured…
Descriptors: Intelligence Quotient, Attention Deficit Disorders, Late Adolescents, Cognitive Ability

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