2016
DOI: 10.1080/00273171.2016.1203279
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Estimation of the Coefficient of Variation with Minimum Risk: A Sequential Method for Minimizing Sampling Error and Study Cost

Abstract: The coefficient of variation is an effect size measure with many potential uses in psychology and related disciplines. We propose a general theory for a sequential estimation of the population coefficient of variation that considers both the sampling error and the study cost, importantly without specific distributional assumptions. Fixed sample size planning methods, commonly used in psychology and related fields, cannot simultaneously minimize both the sampling error and the study cost. The sequential procedu… Show more

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Cited by 20 publications
(28 citation statements)
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“…We used SAS (Version 9.3) and SUDAAN (Version 11) procedures, which are appropriate to analyze complex survey data. We considered estimates with a coefficient of variation greater than 0.3 unreliable [23].…”
Section: Methodsmentioning
confidence: 99%
“…We used SAS (Version 9.3) and SUDAAN (Version 11) procedures, which are appropriate to analyze complex survey data. We considered estimates with a coefficient of variation greater than 0.3 unreliable [23].…”
Section: Methodsmentioning
confidence: 99%
“…They mathematically showed that the proposed procedure a ains asymptotic efficiency and consistency in the sense of Chow and Robbins [25]. Cha opadhyay and Kelley [26] used the purely sequential procedure [25] to estimate the population coefficient of variation of the normal distribution under a squared-error loss function using a Nagar-type expansion.…”
Section: Introductionmentioning
confidence: 99%
“…On the basis of the descriptive statistics and the division of driver’s saccade angle, the coefficient of variation was used to analyze the driver’s saccade characteristics under different alignments and curvature conditions. When the mean values of multiple sets of data were different, the coefficient of variation could reflect the degree of dispersion of the data from the unit mean ( 27 ). The coefficient of variation is given by:…”
Section: Discussion Of Resultsmentioning
confidence: 99%