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To put asunder: Are there perils of partialing in actor-partner interdependence models?
Journal of Family Psychology ( IF 2.3 ) Pub Date : 2022-06-16 , DOI: 10.1037/fam0001011
Timothy W Smith 1 , Steven E Carlson 1 , Bert N Uchino 1 , Brian R W Baucom 1
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In research on couples, statistical adjustment (i.e., partialing) for correlations between partners' parallel scores is common and useful, as in the actor-partner interdependence model. Original and partialed scores are typically interpreted as assessing the same construct, but this may not be a valid assumption. Other approaches to nonindependence-such as common fate modeling-may better represent some couple constructs. This study of 300 couples utilized participants' interpersonal circumplex ratings of partners' typical behavior during marital interactions to evaluate the interpersonal meaning of unadjusted and partialed forms of the Marital Adjustment Test (MAT), a measure of overall relationship quality, and the Quality of Relationships Inventory-Support (QRI-S) and Conflict (QRI-C) scales, which measured perceived support from and conflict with the partner. After partialing partners' scores, MAT and QRI-S scores were substantially less closely associated with ratings of partners' warmth, their primary expected interpersonal correlates. Partner-partialed QRI-C scores were substantially less closely correlated with ratings of partners' hostility and were associated with a somewhat more controlling form of hostility. In contrast, partialing partners' trait optimism scores resulted in minimal changes in interpersonal correlates of this personality characteristic. Couple-level MAT, QRI-S, and QRI-C variables representing overlapping variance across partners while partialing unshared variance in spouses' scores (i.e., common fate scores) had highly similar interpersonal correlates when compared to unadjusted versions. Potential alterations in construct validity resulting from partialing partners' scores warrant interpretive caution, and alternative analytic frameworks (e.g., the common fate model) may better maintain the construct validity of some dyadic measures. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

中文翻译:

换句话说:演员-合作伙伴相互依存模型是否存在偏袒的危险?

在对夫妻的研究中,对伴侣平行分数之间的相关性进行统计调整(即偏倚)是常见且有用的,如演员-伴侣相互依赖模型。原始分数和部分分数通常被解释为评估相同的结构,但这可能不是一个有效的假设。其他解决非独立性的方法——例如共同命运模型——可能更好地代表一些夫妻结构。这项针对 300 对夫妇的研究利用参与者对伴侣在婚姻互动中典型行为的人际环路评分来评估婚姻调整测试 (MAT) 的未调整和部分形式的人际关系意义,这是衡量整体关系质量和关系质量的一种方法库存支持 (QRI-S) 和冲突 (QRI-C) 量表,它衡量了来自合作伙伴的感知支持和冲突。在对合作伙伴的分数进行分项处理后,MAT 和 QRI-S 分数与合作伙伴的热情评分的相关性大大降低,而合作伙伴的热情评分是他们预期的主要人际关系。合作伙伴部分 QRI-C 分数与合作伙伴敌意评级的相关性大大降低,并且与更具控制性的敌意形式相关。相比之下,偏袒伴侣的特质乐观分数导致这种人格特征的人际关系发生最小变化。与未调整的版本相比,夫妻级别的 MAT、QRI-S 和 QRI-C 变量表示伴侣之间的重叠方差,而配偶分数(即共同命运分数)中的部分非共享方差具有高度相似的人际关系。由于合作伙伴的分数偏向而导致结构有效性的潜在变化需要谨慎解释,而替代分析框架(例如,共同命运模型)可能会更好地保持某些二元测量的结构有效性。(PsycInfo 数据库记录 (c) 2022 APA,保留所有权利)。
更新日期:2022-06-16
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