| 成对数据的主客体互依调节模型在公共卫生领域的应用与SPSS软件实现 |
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| 引用本文： | 陈莎,阳庆玲,邱佳玲,范潇茹,何娟,范雄智,郝春,,.成对数据的主客体互依调节模型在公共卫生领域的应用与SPSS软件实现[J].现代预防医学,2020,0(20):3653-3659. |
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| 作者姓名： | 陈莎 阳庆玲 邱佳玲 范潇茹 何娟 范雄智 郝春 |
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| 作者单位： | 1. 中山大学公共卫生学院医学统计学系，广东 广州 510080; 2. 中山大学国家治理研究院全球卫生研究中心，广东 广州 510275; 3. 中山大学公共卫生学院医学统计学系/卫生信息研究中心/广东省卫生信息学重点实验室，广东 广州 510080 |
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| 摘 要： | 目的 介绍主客体互依调节效应模型（Actor–Partner Interdependence Moderation Model，APIMoM）的基本理论，基于多层次模型实现，为APIMoM的实际应用提供方法学参考。方法 介绍APIMoM在不同类型的成对数据以及调节变量中的构建方法，并结合实例提供在SPSS中实现的语句。结果 本文介绍了5种不同类型的成对数据和调节变量组合的APIMoM构建方法，对于可区分的成对数据，可进一步使用二截距模型分别估计对子内两个成员的效应。结论 APIMoM多应用于心理和行为等方面，使用该模型前要考虑清楚变量间的因果关系和调节变量的选择，才能有效地将APIMoM应用于公共卫生领域成对数据的研究。
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| 关 键 词： | 主客体互依调节效应模型 多层次模型 SPSS |
Application of the actor-partner interdependence moderation model for pairwise data in public health and its software implementation in SPSS |
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| CHEN Sha,YANG Qing-ling,QIU Jia-ling,FAN Xiao-ru,HE Juan,FAN Xiong-zhi,HAO Chun.Application of the actor-partner interdependence moderation model for pairwise data in public health and its software implementation in SPSS[J].Modern Preventive Medicine,2020,0(20):3653-3659. |
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| Authors: | CHEN Sha YANG Qing-ling QIU Jia-ling FAN Xiao-ru HE Juan FAN Xiong-zhi HAO Chun |
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| Affiliation: | *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China |
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| Abstract: | To introduce the basic theory of Actor-Partner Interdependence Moderation Model(APIMoM) based on the implementation of Multilevel Model, and to provide methodological basis for practical application of APIMoM. Methods The construction method of moderators and different types of pairwise data in APIMoM were introduced, and the statements implemented in SPSS combined with examples were provided. Results This paper introduces APIMoM construction methods of moderators and five different types of the combinations of pairwise data. For distinguishable pairwise data, the effect of two members within a pair could be further estimated by using the two-intercept model. Conclusion APIMoM is mostly used in psychology and behavior. The causal relationship between variables and the choice of moderators must be considered before using the model, so as to effectively apply APIMoM to the research of the pairwise data in public health. |
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| Keywords: | Actor-Partner Interdependence Moderation Model Multilevel model SPSS |
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