Drug use and intimate relationships among women and men: separating specific from general effects in prospective data using structural equation models.
Drug use and intimate relationships among women and men: separating specific from general effects in prospective data using structural equation models.
复制标题
女性和男性之间的吸毒和亲密关系：使用结构方程模型将前瞻性数据中的特定效果与一般效果分开。
DOI：
10.1037//0022-006x.62.3.463
复制
发表时间：
1994
影响因子：
5.9
通讯作者：
Newcomb,MD
中科院分区：
文献类型：
--
作者：
Newcomb,MD
本文介绍了结构方程模型(SEM)中特定路径的使用，该模型允许分离和测试被测量变量的独特和共同(潜在)方面。横断面研究已经证实，亲密关系中的问题与药物使用有关，但这些影响的方向尚不清楚，最好是通过使用具有前瞻性数据的SEM来解决。研究人员对307名年轻女性和117名年轻男性进行了为期4年的研究，同时对社会一致性进行了控制，考察了多药使用概念和关系质量之间的相互影响。没有发现潜在结构之间的交叉滞后效应，除了多药使用，这增加了女性后来的离婚率。然而，特定的路径允许测试药物使用的类型和关系质量作为预测和结果。药物使用的具体措施对女性和男性的影响分别为8和6，这些措施对人际关系质量的各个方面都产生了不利影响。相反，从关系质量到药物使用变量对两性来说只有一种影响。
This article presents the use of specific paths in structural equation models (SEMs) that allow separation and tests of both unique and common (latent) aspects of measured variables. Cross-sectional studies have established that problems in intimate relationships are related to drug use, but the direction of these effects is unclear and is best addressed by using SEMs with prospective data. Reciprocal effects between constructs of polydrug use and relationship quality were examined for 307 young women and 117 young men over a 4-year period while social conformity was controlled for. No cross-lagged effects were found between latent constructs, except for polydrug use, which increased later divorces for women. However, specific paths allowed tests of types of drug use and relationship quality as both predictors and consequences. There were 8 effects for women and 6 for men from specific measures of drug use that adversely affected aspects of relationship quality. Conversely, only one effect was found from relationship quality to drug use variables for both genders.