R
R. Clifford Blair
Researcher at University of South Florida
Publications - 37
Citations - 2323
R. Clifford Blair is an academic researcher from University of South Florida. The author has contributed to research in topics: Wilcoxon signed-rank test & Population. The author has an hindex of 21, co-authored 37 publications receiving 2154 citations. Previous affiliations of R. Clifford Blair include Florida College & Johns Hopkins University.
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Journal ArticleDOI
A computerized method of visual acuity testing: Adaptation of the Early Treatment of Diabetic Retinopathy Study testing protocol
Roy W. Beck,Pamela S. Moke,Andrew Turpin,Frederick L. Ferris,John Paul SanGiovanni,Chris A. Johnson,Eileen E. Birch,Danielle L. Chandler,Terry A. Cox,R. Clifford Blair,Raymond T. Kraker +10 more
TL;DR: The computerized method has advantages over the S-ETDRS testing in electronically capturing the data for each tested letter, requiring only a single distance for testing from 20/12 to 20/800, potentially reducing testing time, and potentially decreasing technician-related bias.
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A more realistic look at the robustness and Type II error properties of the t test to departures from population normality.
TL;DR: The Type I and II error properties of the t test were evaluated by means of a Monte Carlo study that sampled 8 real distribution shapes identified by Micceri (1986, 1989) as being representative of types encountered in psychology and education research.
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The amblyopia treatment study visual acuity testing protocol.
Jonathan M. Holmes,Roy W. Beck,Michael X. Repka,David A. Leske,Raymond T. Kraker,R. Clifford Blair,Pamela S. Moke,Eileen E. Birch,Richard A. Saunders,Richard W. Hertle,Graham E. Quinn,Kurt Simons,Joseph M. Miller +12 more
TL;DR: TheVisual acuity protocol had a high level of testability in 3- to 7-year-olds and excellent test-retest reliability and has wide potential application for standardizing visual acuity testing in children.
Journal ArticleDOI
A Comparison of the Power of Wilcoxon's Rank-Sum Statistic to that of Student'st Statistic Under Various Nonnormal Distributions
TL;DR: In this article, computer generated Monte Carlo techniques were used to compare the power of Wilcoxon's rank-sum test to two independent meanst tests for situations in which samples were drawn from different samples.