当前位置: X-MOL 学术Personal Relationships › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Dyadic measurement invariance and its importance for replicability in romantic relationship science
Personal Relationships ( IF 1.900 ) Pub Date : 2021-03-01 , DOI: 10.1111/pere.12341
John K. Sakaluk 1, 2 , Alexandra N. Fisher 3 , Robyn E. Kilshaw 4
Affiliation  

Comparisons of group means, variances, correlations, and/or regression slopes involving psychological variables rely on an assumption of measurement invariance—that the latent variables under investigation have equivalent meaning and measurement across group. When measures are noninvariant, replicability suffers, as comparisons are either conceptually meaningless, or hindered by inflated Type I error rates. We propose that the failure to account for interdependence among dyad members when testing measurement invariance may be a potential source of unreplicable findings in relationship research. We developed fully dyadic versions of invariance models, created an R package (dySEM) to make specifying dyadic invariance models easier and reporting more reproducible, and executed a Registered Report for gauging the extent of dyadic (non)invariance in romantic relationship research across measures of relationship well‐being, personality, and sexuality in a sample of 282 heterosexual couples. We found that although a number of popular measures display good evidence of dyadic invariance, a few display concerning levels and interesting patterns of noninvariance, while others appeared either noninvariant or poorly fitting for both men and women. We discuss our findings in terms of their meaning for the replicability dyadic close relationship research. We close by arguing that increased theorizing and research on dyadic invariance, and inclusive methods for analyzing invariance with indistinguishable dyads, are needed to capitalize on the opportunity to advance our field's understanding of dyadic constructions of relational concepts.

中文翻译:

二进测量不变性及其在浪漫关系科学中可复制性的重要性

涉及心理变量的组均值,方差,相关性和/或回归斜率的比较取决于度量不变性的假设,即所研究的潜在变量在整个组中具有相同的含义和度量。当测量值是不变的时,可复制性会受到影响,因为比较从概念上讲是毫无意义的,或者由于虚假的I型错误率而受阻。我们建议,在测试度量不变性时未能考虑到成对成员之间的相互依赖性,可能是关系研究中无法重复发现的潜在原因。我们开发了不变模型的完全二元版本,并创建了R包(dySEM),以简化二元不变性模型的指定过程,并使其报告更具可重复性,并执行了一份注册报告,以衡量282个异性恋中的关系幸福感,性格和性行为,以衡量浪漫关系研究中二元(非)不变性的程度夫妻。我们发现,尽管许多流行的度量显示出二元不变性的良好证据,但一些显示出有关不变性的水平和有趣的模式,而另一些则表现出不变性或对男性和女性的适应性很差。我们根据其对可复制性二元紧密关系研究的意义来讨论我们的发现。最后,我们争论了关于二进式不变性的理论化和研究的增加,以及用于分析不可区分的二元组的不变性的包容性方法,
更新日期:2021-03-30
down
wechat
bug