The Use of Structural Equation Modeling in Assessing the Quality of Marital Observations
The Use of Structural Equation Modeling in Assessing the Quality of Marital Observations
复制标题
使用结构方程模型评估婚姻观察的质量
DOI：
10.1037/0893-3200.9.3.280
复制
发表时间：
1995
影响因子：
2.7
通讯作者：
T. Warner
中科院分区：
文献类型：
--
作者：
Janet N. Melby;R. Conger;Xiaojia Ge;T. Warner
作者研究了评估观测测量质量的传统分析方法，并提出了一种结构方程建模（SEM）方法，该方法扩展了多特征多方法传统，以评估观测数据的可靠性和有效性。利用爱荷华州家庭互动评定量表（J. Melby 等人，1990）获得的对婚姻互动中敌意和胁迫的观察，作者说明了使用 SEM 作为一种手段，在同一分析框架内评估观察评级和家庭成员报告的心理测量特性估计，从而为研究信息提供者提供更具可比性的评估。结果证明了这种方法的实用性。近年来，观察方法在社会和行为科学中的使用大幅增长。事实上，Bennion (1993) 指出，发表在《发展心理学》上的使用观察方法的实证研究比例增长了 300%。
The authors examine traditional analytic approaches to assessing the quality of observational measures and suggest a structural equation modeling (SEM) approach that extends the multitrait-multimethod tradition to assess both reliability and validity of observational data. Drawing on observations of hostility and coercion in marital interactions obtained with the Iowa Family Interaction Rating Scales (J. Melby et al., 1990), the authors illustrate the use of SEM as a means to evaluate estimates of psychometric properties of both observational ratings and family member reports within the same analytic framework, thereby providing more comparable assessments across study informants. The results demonstrate the utility of this approach. The use of observational methodology in the social and behavioral sciences has grown considerably during recent years. Indeed, Bennion (1993) noted a 300% growth in the proportion of empirical studies using observational methods published in Developmental Psychology be
影响因子：
7.6
作者：
BRADBURY, TN;FINCHAM, FD
通讯作者：
FINCHAM, FD