Some techniques for the analysis of work sampling data.
Some techniques for the analysis of work sampling data.
复制标题
分析工作抽样数据的一些技术。
作者：
M. Miller;M. K. James;C. Langefeld;M. Espeland;J. Freedman;D. K. Martin;D. Smith
工作抽样是一种观察技术，它产生的计数代表了一个人被观察到执行几项任务中的每一项任务的次数。这些数据是使用系统或随机观察时间收集的，并且通常表现出对同一个体的重复观察之间的相关性，相关程度是测量之间经过的时间量的函数。使用几个最近开发的统计技术，我们说明了如何有可能进行这些名义上的结果，占重复结果之间的相关性的分析。我们使用的工作抽样研究的描述，以激励技术，我们比较经验的分析结果的基础上，几个不同的基本假设。
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.