摘要
主客体互倚性模型(APIM)以成对数据作为分析单元,是成对数据分析的重要方法。基于APIM中的主体效应与客体效应,Kenny等人论述了APIM的四种成对模式:主体模式、客体模式、对偶模式与对比模式。通过定义客体效应与主体效应的比值为k,Kenny等人提出了定量指标,以分析主客体互倚性的成对模式。成对模式分析有助于简化数据结果、检验理论模型、解析群体互动过程。虽然k值的检验程序较为复杂,但APIM成对模式及k值的提出,对于成对数据分析,特别是家庭研究与组织心理学研究具有重要意义。
APIM is an important analytic approach of dyadic data, and its analysis unit is dyad. Based on the actor and partner effects, Kenny and Ledermann discussed four general APIM dyadic patterns: the actor-only, the partner-only, the couple, and the contrast patterns. Then Kenny and Ledermann defined k as the ratio of the partner effect to the actor effect. By estimating k, researchers have a quantitative index of the relative size of the partner effect. Researchers can simplify the results and analyze the process of group interaction through dyadic patterns. On the basis of example, both advantage and limitation were discussed.
作者
刘畅
伍新春
LIU Chang WU Xinchun(Preschool Academy, Beijing Institute of Education, Beijing 100120 School of Psychology, Beijing Key Laboratory of Applied Experimental Psychology, Beijing Normal University, Beijing 100875)
出处
《心理发展与教育》
CSSCI
北大核心
2017年第1期105-112,共8页
Psychological Development and Education
基金
北京市教育科学"十二五"规划2015年度课题"父亲与母亲教养投入对青少年心理适应影响的比较研究"(AFA15199)
关键词
主客体互倚性模型
主体模式
客体模式
对偶模式
对比模式
Actor-Partner Interdependence Model
actor-only pattern
partner-only pattern
couple pattern
contrast pattern