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Data for validation of osteometric methods in forensic anthropology

机译:法医人类学中用于骨测量方法验证的数据

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摘要

Many techniques in forensic anthropology employ osteometric data, although little work has been done to investigate the intrinsic error in these measurements. These data were collected to quantify the reliability of osteometric data used in forensic anthropology research and case analyses. Osteometric data (n = 99 measurements) were collected on a random sample of William M. Bass Donated Collection skeletons (n = 50 skeletons). Four observers measured the left elements of 50 skeletons. After the complete dataset of 99 measurements was collected on each of the 50 skeletons, each observer repeated the process for a total of four rounds. The raw data is available on Mendeley Data (>DCP Osteometric Data, Version 1. DOI: 10.17632/6xwhzs2w38.1). An example of the data analyses performed to evaluate and quantify observer error is provided for the variable GOL (maximum cranial length); these analyses were performed on each of the 99 measurements. Two-way mixed ANOVAs and repeated measures ANOVAs with pairwise comparisons were run to examine intraobserver and interobserver error, and relative and absolute technical error of measurement (TEM) was calculated to quantify the observer variation. This data analysis supported the dissemination of a free laboratory manual of revised osteometric definitions (Data Collection Procedures 2.0, pdf available at ) and an accompanying instructional video (). This manual is versioned and updatable as new information becomes available. Similar validations of scientific data used in forensic methods would support the ongoing effort to establish valid and reliable methods and protocols for proficiency testing, training, and certification.
机译:法医人类学中的许多技术都使用骨测量数据,尽管在研究这些测量中的内在误差方面做得很少。收集这些数据以量化法医人类学研究和案例分析中使用的骨测量数据的可靠性。骨密度测量数据(n = 99个测量值)是从William M. Bass Donated Collection骨骼(n = 50个骨骼)的随机样本中收集的。四个观察员测量了50个骨骼的左侧元素。在50个骨骼的每个骨骼上收集了99个测量值的完整数据集之后,每个观察者都重复了该过程,总共进行了4轮。原始数据可在Mendeley Data(> DCP Osteometric数据,版本1。 DOI:10.17632 / 6xwhzs2w38.1)上获得。为变量GOL(最大颅骨长度)提供了一个评估和量化观察者误差的数据分析示例;这些分析是在99个测量中的每个测量上进行的。进行了双向混合方差分析和重复测量方差分析,并进行了成对比较,以观察观察者之间和观察者之间的误差,并计算了相对和绝对技术测量误差(TEM)来量化观察者的变化。这项数据分析支持散发免费的修订后的骨测量学定义的实验室手册(数据收集程序2.0,可在上找到pdf)以及随附的指导视频()。随着新信息的发布,本手册的版本进行了更新。法医方法中使用的科学数据的类似验证将支持正在进行的努力,以建立有效和可靠的能力验证,培训和认证方法和协议。

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