Well-matched Marriages Make People Happier? Socioeconomic Status Matching and Marital Satisfaction

450 married individuals were recruited through offline recruitment and online response. We use R language version 4.3.1 for data analysis. Our data consists of 49 items, with the first 14 columns being population statistics tables. Age "represents the age of the participants," gender "represents their gender," generation "refers to their age," country "refers to their race," region "refers to their place of residence," marriage age "refers to their marriage age, marital status refers to their current marital status, and children refer to the number of children they have. The A and B added after the variable name represent oneself and spouse, respectively. Edu "refers to the raw data of the subject's current education level," inc "refers to the raw data of the subject's current income level, and" occ "refers to the raw data of the subject's current occupational level. The variables of 'education', 'income', and 'occupation' are obtained by subtracting the midpoint of the scale from the raw data before conducting response surface analysis. 'Fathereeducation' and 'mothereducation' represent the raw data on the educational level of the parents of the subjects. Parentedu "refers to the higher score of the two. Parentinc "refers to the raw data of the annual income level of the original family. Parentocc "refers to the raw data of the occupational level of the original family. Parenteducation, Parentincome, and Parentoccupation refer to the results obtained by subtracting the midpoint of the scale from the original data before conducting response surface analysis. E1~E7 refer to the raw data of the seven items in the Relationship Satisfaction Scale, and "Satis" refers to the total score of marital satisfaction obtained by processing these seven items.

本研究通过线下招募与线上问卷回收的方式，共纳入450名已婚个体作为研究被试。本研究采用R语言4.3.1版本完成全部数据分析工作。本数据集共包含49个变量，其中前14列为人口统计学统计指标项。其中，年龄（Age）指代被试的实际年龄，性别（Gender）指代被试的性别，代际（Generation）指代被试的年龄所属分组，国籍（Country）指代被试的种族属性，居住地（Region）指代被试的常住地；婚龄（Marriage age）指被试的初婚年龄，婚姻状况（Marital status）指代被试当前的婚姻状态，子女数（Children）指代被试的生育子女数量。变量名后附加的A、B分别指代被试本人及其配偶。受教育程度（Edu）为被试当前教育水平的原始数据，收入（Inc）为被试当前收入水平的原始数据，职业层级（Occ）为被试当前职业水平的原始数据。在开展响应面分析（response surface analysis）前，需先将上述三项原始数据减去对应量表的中点值，处理后得到的变量分别为education、income与occupation。父亲受教育程度的原始数据对应Fathereeducation，母亲受教育程度的原始数据对应mothereducation；Parentedu指代父母二者中得分更高的一方。原家庭年收入水平的原始数据为Parentinc，原家庭职业层级的原始数据为Parentocc。同样在开展响应面分析前，需将上述父母相关的原始数据减去对应量表的中点值，处理后得到的变量分别为Parenteducation、Parentincome与Parentoccupation。E1~E7指代婚姻关系满意度量表（Relationship Satisfaction Scale）中7个题项的原始得分，Satis指代通过对上述7个题项进行整合计算得到的婚姻满意度总分。