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对象。本次数据分析采用R语言4.3.1版本完成。本数据集共包含49个变量，其中前14列为人口统计学统计表。其中，‘age（年龄）’代表参与者的实际年龄，‘gender（性别）’代表参与者的性别，‘generation（世代）’指代参与者的年龄代际，‘country（国家）’实际指代参与者的种族属性，‘region（地区）’代表参与者的常住居住地，‘marriage age（结婚年龄）’指代参与者的结婚年龄，‘marital status（婚姻状态）’代表其当前的婚姻状况，‘children（子女数量）’则代表其拥有的子女数。变量名后添加的A与B分别指代受访者自身及其配偶。‘Edu’代表受访者当前受教育水平的原始数据，‘inc’代表受访者当前个人收入的原始数据，‘occ’代表受访者当前职业层级的原始数据。在开展响应面分析（response surface analysis）前，研究人员需将上述教育、收入与职业的原始数据减去对应量表的中点值，以此得到‘education’‘income’与‘occupation’三个变量。‘fathereeducation’与‘mothereducation’分别代表受访者父母的受教育水平原始数据，‘Parentedu’则取父母双方受教育水平得分中的较高值；‘Parentinc’代表受访者原生家庭的年度总收入原始数据，‘Parentocc’代表受访者原生家庭的职业层级原始数据。与前述个人层面变量一致，在开展响应面分析前，研究人员需将‘fathereeducation’‘mothereducation’‘Parentinc’‘Parentocc’的原始数据减去对应量表中点值，最终得到‘Parenteducation’‘Parentincome’与‘Parentoccupation’三个变量。E1~E7为《关系满意度量表》中7个题项的原始得分，‘Satis’则为对这7个题项得分进行整合后得到的婚姻满意度总分。