There are mixed evaluations of couple relationship education indicating that these types of interventions may be more or less effective depending on the couple type and demographic differences. However, this ambiguity requires more investigation with advanced statistical analyses that use a person-centered approach such as mixture modeling. We tested this hypothesis with a sample of different-sex couples (N = 455 couples) who participated in a brief in-home couple intervention. We used dyadic latent profile analysis to determine possible relationship health typologies (RHTs) of presenting couples and multilevel models to examine differential intervention effectiveness between these RHTs. Results indicated there were 3 RHT: Partners Below Average with Wife Much Lower RHT (18%), Partners Below Average with Men Slightly Lower RHT (26%), and Partner Both Above Average RHT, (56%). RHTs did not differ by demographics. Below Average and Wife Lower RHTs responded the best to the brief couple intervention. In sum, we find that a brief intervention that targets the specific concerns of the couples may improve outcomes for multiple RHT. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

中文翻译：

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二元潜在轮廓分析和多级建模以检验对夫妻关系教育的不同反应。

夫妻关系教育的评估结果参差不齐，表明根据夫妻类型和人口统计学差异，这些干预措施或多或少有效。但是，这种歧义需要使用以人员为中心的方法（例如混合模型）进行高级统计分析的更多研究。我们用参加简短家庭内干预的异性夫妇（N = 455对）样本检验了该假设。我们使用二元潜在特征分析来确定可能出现的夫妻健康关系类型（RHT）和多层次模型，以检查这些RHT之间的差异干预效果。结果表明，共有3个RHT：伴侣的平均水平较低且妻子的RHT较低（18％）；伴侣的平均水平较低且男性的RHT较低（26％），和合作伙伴均高于平均RHT（56％）。RHT在人口统计方面没有差异。低于平均水平和较低妻子水平的RHT对短暂的夫妻干预反应最好。总而言之，我们发现针对夫妻特别关注的简短干预措施可能会改善多个RHT的预后。（PsycInfo数据库记录（c）2020 APA，保留所有权利）。