Miller M E, James M K, Langefeld C D, Espeland M A, Freedman J A, Martin D K, Smith D M
Department of Public Health Sciences, Bowman Gray School of Medicine, Winston-Salem, NC 27157, USA.
Stat Med. 1996 Mar 30;15(6):607-18. doi: 10.1002/(SICI)1097-0258(19960330)15:6<607::AID-SIM186>3.0.CO;2-N.
Work sampling is an observational technique that produces counts representing the number of times that an individual has been observed performing each of several tasks. These data are collected using either systematic or random times of observation, and typically exhibit correlation between repeated observations on the same individual, with the degree of correlation being a function of the amount of time elapsed between measurements. Using several recently developed statistical techniques, we illustrate how it is possible to carry out analyses of these nominal outcomes that account for the correlation between repeated outcomes. We use description of a work sampling study to motivate the techniques and we compare empirically results from analyses based on several different underlying assumptions.
工作抽样是一种观察技术，它产生的计数代表了观察到个体执行多项任务中每项任务的次数。这些数据通过系统或随机的观察时间来收集，并且通常在对同一个体的重复观察之间呈现相关性，相关性程度是测量之间经过时间量的函数。使用几种最近开发的统计技术，我们说明了如何对这些名义结果进行分析，同时考虑到重复结果之间的相关性。我们用一项工作抽样研究的描述来推动这些技术，并根据几种不同的潜在假设对分析结果进行实证比较。
