Results 211 to 220 of about 438,848 (266)

Research of the Reliability Coefficient in Information Fusion

2009 International Conference on Signal Acquisition and Processing, 2009
The high quality of the information source can improve the accuracy of target recognition when data is fused via multi-information sources. In this paper, it proposes a new method to determine the reliability coefficient of the information source by information criterion.
Fei Xia, Hao Zhang 0007, Daogang Peng, Hui Li 0049, Longhu Xu, Ling Yang   +5 more
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The Reliability of a Point Biserial Coefficient of Correlation

Psychometrika, 1954
An attempt is made to elaborate upon Lev's results concerning the reliability of the point biserial coefficient of correlation in a manner that will be helpful to the psychological statistician. Procedures required in the use of the non-central t tables prepared by Johnson and Welch are described as they relate to the determination of the fiducial ...
Perry, Norman C., Michael, William B.
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Reliability Coefficients of Three Corneal Pachymeters

American Journal of Ophthalmology, 1992
We compared the accuracy and reproducibility of a hand-held portable ultrasound pachymeter, the Pach-Pen (Bio-Rad, Ophthalmic Division, Santa Ana, California); another ultrasound pachymeter, the DGH 1000 (DGH Technology, Inc., Frazer, Pennsylvania); and the Pro-Cem 4 endothelial specular microscope (Alcon-Surgical, Inc., Irvine, California).
N C, Wheeler, C M, Morantes, R M, Kristensen, T H, Pettit, D A, Lee   +4 more
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DERIVING COEFFICIENTS OF RELIABILITY AND AGREEMENT FOR RATINGS

British Journal of Mathematical and Statistical Psychology, 1968
The paper is concerned with the measurement of internal consistency of rating scales and interviewing schedules, with the assessment of bias between different raters and with coefficients for measuring the degree of agreement between them.
A E, Maxwell, A E, Pilliner
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The Reliability Coefficient

Psychometrika, 1942
The reliability coefficient is unlike other measures of correlation in that it is a quantitative statement of an act of judgment,—usually the test maker's, — that the things correlated are similar measures. Attempts to divorce it from this act of judgment are misdirected, just as would be an attempt to eliminate judgment of sameness of function of ...
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The Intraclass Correlation Coefficient as a Measure of Reliability

Psychological Reports, 1966
A procedure for estimating the reliability of sets of ratings in terms of the intraclass correlation coefficient is discussed. The procedure is based upon the analysis of variance and the estimation of variance components. For the one-way classification the intraclass correlation coefficient defined as the ratio of variances can be interpreted as a ...
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Originators of Reliability Coefficients : A Historical Review of the Originators of Reliability Coefficients Including Cronbach’s Alpha

Survey Research, 2018
The names of commonly used reliability coefficients, such as Cronbach’s alpha, give the impression that we are expressing respect for the first developers of the formulas. However, few studies have investigated the identity of each person who first discovered each reliability coefficient from a neutral point of view.
Eunseong Cho, Sungyong Chun
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Shoe Shopping and the Reliability Coefficient

Educational Assessment, 2001
Editor's Introduction. Reliability Versus Accuracy: A Critical Distinction Test reliability coefficients traditionally have been used to judge the quality of measurement. And, reliability coefficients of .90 have often been considered adequate to assure the quality for standardized testing and large-scale assessment programs.
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Reliability Coefficients in a Correlation Matrix

Psychometrika, 1936
Given s fallible tests t 1 , t 2 , … t s , the problem is to express ...
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Specificity-enhanced reliability coefficients.

Psychological Methods, 2017
Internal consistency reliability coefficients based on classical test theory, such as α, ω, λ₄, model-based ρxx, and the greatest lower bound ρglb, are computed as ratios of estimated common variance to total variance. They omit specific variance. As a result they are downward-biased and may fail to predict external criteria (McCrae et al., 2011). Some
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