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分析剪切和拉伸粘结强度试验中的变异系数。

Analysis of the coefficient of variation in shear and tensile bond strength tests.

机构信息

Department of Orthodontics, Alfenas Pharmacy and Dental School, Efoa, Ceufe, Minas Gerais, Brazil.

出版信息

J Appl Oral Sci. 2005 Sep;13(3):243-6. doi: 10.1590/s1678-77572005000300008.

Abstract

The coefficient of variation is a dispersion measurement that does not depend on the unit scales, thus allowing the comparison of experimental results involving different variables. Its calculation is crucial for the adhesive experiments performed in laboratories because both precision and reliability can be verified. The aim of this study was to evaluate and to suggest a classification of the coefficient variation (CV) for in vitro experiments on shear and tensile strengths. The experiments were performed in laboratory by fifty international and national studies on adhesion materials. Statistical data allowing the estimation of the coefficient of variation was gathered from each scientific article since none of them had such a measurement previously calculated. Excel worksheet was used for organizing the data while the sample normality was tested by using Shapiro Wilk tests (alpha = 0.05) and the Statistical Analysis System software (SAS). A mean value of 6.11 (SD = 1.83) for the coefficient of variation was found by the data analysis and the data had a normal distribution (p>0.05). A range classification was proposed for the coefficient of variation from such data, that is, it should be considered low for a value lesser than 2.44; intermediate for a value between 2.44 and 7.94, high for a value between 7.94 and 9.78, and finally, very high for a value greater than 9.78. Such classification can be used as a guide for experiments on adhesion materials, thus making the planning easier as well as revealing precision and validity concerning the data.

摘要

变异系数是一种不依赖于单位尺度的离散度测量方法,因此可以比较涉及不同变量的实验结果。它的计算对于实验室进行的黏附实验至关重要,因为可以验证实验的精度和可靠性。本研究旨在评估并建议一种用于体外剪切和拉伸强度实验的变异系数(CV)分类方法。通过五十项国际和国内黏附材料研究进行实验室实验。由于之前没有计算过这种测量方法,因此从每篇科学文章中收集了允许估计变异系数的统计数据。使用 Excel 工作表组织数据,同时使用 Shapiro-Wilk 检验(alpha = 0.05)和 SAS 软件测试样本正态性。数据分析得出变异系数的平均值为 6.11(SD = 1.83),数据呈正态分布(p>0.05)。从这些数据中提出了变异系数的范围分类,即,小于 2.44 时应视为低值;2.44 到 7.94 之间为中值;7.94 到 9.78 之间为高值;大于 9.78 时为极高值。这种分类可作为黏附材料实验的指南,从而使实验计划更容易,并揭示数据的精度和有效性。

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