{"title":"发现测量偏差:夫妻满意度指数中不同收入的项目功能差异。","authors":"Matthew A Ogan, Jeremy B Kanter","doi":"10.1037/fam0001247","DOIUrl":null,"url":null,"abstract":"<p><p>Relationship satisfaction is among the most popular constructs in family science. As the study of families and romantic couples continues to include more diverse samples, it is imperative to ensure the measures scholars use do not significantly vary in psychometric quality across groups. The goal of this study was to examine the psychometric utility of the four-item Couples Satisfaction Index (CSI-4; Funk & Rogge, 2007) for individuals across the income spectrum. This study uses data from the National Couples' Health and Time Study, which sampled married and cohabiting adults in the United States from late 2020 to early 2021. Differential item functioning in the CSI-4 was assessed based on income (<i>N</i> = 3,497) using item response theory. For individuals experiencing lower incomes, the CSI-4 demonstrated differential functioning compared to their more affluent peers, with a bias against individuals experiencing lower incomes equating to average scores 1.38 units lower than higher income participants on the CSI-4 despite having the same true levels of relationship satisfaction. Differential item functioning was less pronounced when comparing item performance of lower- and middle-income participants, equating to lower income participants scoring .21 units lower than middle-income individuals despite having the same true levels of relationship satisfaction. While advancing diversity in family science, researchers should employ psychometric methods to understand how measures perform across groups, which will help prevent the misinterpretation of statistical bias as real group differences. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncovering measurement bias: Differential item functioning by income in the Couples Satisfaction Index.\",\"authors\":\"Matthew A Ogan, Jeremy B Kanter\",\"doi\":\"10.1037/fam0001247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Relationship satisfaction is among the most popular constructs in family science. As the study of families and romantic couples continues to include more diverse samples, it is imperative to ensure the measures scholars use do not significantly vary in psychometric quality across groups. The goal of this study was to examine the psychometric utility of the four-item Couples Satisfaction Index (CSI-4; Funk & Rogge, 2007) for individuals across the income spectrum. This study uses data from the National Couples' Health and Time Study, which sampled married and cohabiting adults in the United States from late 2020 to early 2021. Differential item functioning in the CSI-4 was assessed based on income (<i>N</i> = 3,497) using item response theory. For individuals experiencing lower incomes, the CSI-4 demonstrated differential functioning compared to their more affluent peers, with a bias against individuals experiencing lower incomes equating to average scores 1.38 units lower than higher income participants on the CSI-4 despite having the same true levels of relationship satisfaction. Differential item functioning was less pronounced when comparing item performance of lower- and middle-income participants, equating to lower income participants scoring .21 units lower than middle-income individuals despite having the same true levels of relationship satisfaction. While advancing diversity in family science, researchers should employ psychometric methods to understand how measures perform across groups, which will help prevent the misinterpretation of statistical bias as real group differences. 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引用次数: 0
摘要
人际关系满意度是家庭科学中最流行的概念之一。随着对家庭和浪漫情侣的研究不断包括更多不同的样本,必须确保学者们使用的测量方法在心理测量质量上不会因群体不同而有显著差异。本研究的目的是检验四项夫妻满意度指数(CSI-4;Funk & Rogge,2007 年)在不同收入人群中的心理测量效用。本研究使用了 "全国夫妇健康与时间研究"(National Couples' Health and Time Study)的数据,该研究在 2020 年末至 2021 年初对美国已婚和同居成年人进行了抽样调查。利用项目反应理论评估了 CSI-4 中基于收入的项目功能差异(N = 3,497)。与较富裕的同龄人相比,收入较低的人在 CSI-4 中表现出不同的功能,尽管他们的真实关系满意度水平相同,但收入较低的人在 CSI-4 中的平均得分比收入较高的人低 1.38 个单位。在比较低收入和中等收入参与者的项目表现时,项目功能的差异并不明显,尽管真实的关系满意度水平相同,但低收入参与者的得分比中等收入者低 0.21 个单位。在推进家庭科学多样性的同时,研究人员应采用心理测量方法来了解不同群体的测量表现,这将有助于防止将统计偏差误解为真正的群体差异。(PsycInfo Database Record (c) 2024 APA,保留所有权利)。
Uncovering measurement bias: Differential item functioning by income in the Couples Satisfaction Index.
Relationship satisfaction is among the most popular constructs in family science. As the study of families and romantic couples continues to include more diverse samples, it is imperative to ensure the measures scholars use do not significantly vary in psychometric quality across groups. The goal of this study was to examine the psychometric utility of the four-item Couples Satisfaction Index (CSI-4; Funk & Rogge, 2007) for individuals across the income spectrum. This study uses data from the National Couples' Health and Time Study, which sampled married and cohabiting adults in the United States from late 2020 to early 2021. Differential item functioning in the CSI-4 was assessed based on income (N = 3,497) using item response theory. For individuals experiencing lower incomes, the CSI-4 demonstrated differential functioning compared to their more affluent peers, with a bias against individuals experiencing lower incomes equating to average scores 1.38 units lower than higher income participants on the CSI-4 despite having the same true levels of relationship satisfaction. Differential item functioning was less pronounced when comparing item performance of lower- and middle-income participants, equating to lower income participants scoring .21 units lower than middle-income individuals despite having the same true levels of relationship satisfaction. While advancing diversity in family science, researchers should employ psychometric methods to understand how measures perform across groups, which will help prevent the misinterpretation of statistical bias as real group differences. (PsycInfo Database Record (c) 2024 APA, all rights reserved).