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宗教事务、医疗保健及相关研究中的集中趋势测量

Measures of central tendency in chaplaincy, health care, and related research.

作者信息

Jankowski Katherine R B, Flannelly Kevin J

机构信息

a Book Review Editor, Journal of Health Care Chaplaincy, Center for Psychosocial Research , Massapequa , New York , USA.

出版信息

J Health Care Chaplain. 2015;21(1):39-49. doi: 10.1080/08854726.2014.989799.

Abstract

The three measures of central tendency are discussed in this article: the mode, the median, and the mean. These measures of central tendency describe data in different and important ways, in relation to the level of measurement (nominal, ordinal, interval, or ratio) used to obtain the data. The results of published research studies, thought experiments, and graphs of frequency and percentage distributions of data are used as examples to demonstrate and explain the similarities and differences among these summary measures of data. The examples include the application of nominal, ordinal, interval, and ratios scales to measure pain, anxiety, chaplaincy services, religious behaviors, and treatment-related preferences, and their respective measures of central tendency. Examples of unimodal and bimodal distributions, and differences in the relative locations of the median and mean in symmetrical and skewed distributions are also presented and discussed.

摘要

本文讨论了三种集中趋势度量

众数、中位数和平均数。这些集中趋势度量以不同且重要的方式描述数据,这与用于获取数据的测量水平(名义、顺序、区间或比率)相关。已发表的研究、思想实验以及数据频率和百分比分布的图表结果被用作示例,以展示和解释这些数据汇总度量之间的异同。示例包括应用名义、顺序、区间和比率量表来测量疼痛、焦虑、牧师服务、宗教行为以及与治疗相关的偏好,以及它们各自的集中趋势度量。还展示并讨论了单峰和双峰分布的示例,以及对称和偏态分布中中位数和平均数相对位置的差异。

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