Location, location, location: applying spatial statistics to the relationship landscape.
Location, location, location: applying spatial statistics to the relationship landscape.
复制标题
位置，位置，位置：将空间统计应用于关系景观。
DOI：
10.1111/famp.12097
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发表时间：
2014
期刊：
影响因子：
3.9
通讯作者：
Wood,NathanD
中科院分区：
文献类型：
--
作者：
Wood,NathanD
渴望了解人际关系是研究、临床和教育领域的专业人士所共有的激情。在这些环境中，调查问卷经常用于多种目的--例如筛查、评估、计划评估或确定治疗效果。然而，当一对夫妇在问卷上的答案与临床判断不符或缺乏临床实用性时，就会出现临床问题，而当双方的数据被投入分析时，统计问题就会出现。本文介绍了如何使用地理空间统计来分析绘制在二维“关系地图”上的夫妻数据。关系图可以提高评估敏感度，跟踪治疗进展，并消除通常与夫妇数据相关的统计问题。本文简要介绍了空间模型的核心假设，说明了空间模型在创建离婚关系图景中的应用，提出了在临床环境中使用关系地图的建议，并探索了未来的研究思路。
The desire to understand relationships is a passion shared by professionals in research, clinical, and educational settings. Questionnaires are frequently used in each of these settings for a multitude of purposes—such as screening, assessment, program evaluation, or establishing therapeutic effectiveness. However, clinical issues arise when a couple's answers on questionnaires do not match clinical judgment or lack clinical utility, while statistical problems arise when data from both partners are put into analyses. This article introduces the use of geospatial statistics to analyze couple data plotted on a two‐dimensional “relational map.” Relationship maps can increase assessment sensitivity, track treatment progress, and remove statistical issues typically associated with couple data. This article briefly introduces core assumptions of spatial models, illustrates the use of spatial models in creating a relational landscape of divorce, offers suggestions for the use of relational maps in a clinical setting, and explores future research ideas.