Constructing SMF/DMF Index 을

An Ideal Marriage Partner?! Son of Mother’s Friend(SMF)  Age : 33  Weight : 74kg  Height : 178.4cm  Master Degree  Occupation : A Public Enterprise  Yearly Income : 70,000,000 won The survey result from DUO, the marriage consulting company (14 OCT 2009, Weekly Donga)

An Ideal Marriage Partner?! Daughter of Mother’s Friend(DMF)  Age : 28  Weight : 53.1kg  Height : 167.9cm  University Graduate  Occupation : Government Official  Yearly Income : 35,000,000 won The survey result from DUO, the marriage consulting company (14 OCT 2009, Weekly Donga)

How Super They Are??!!

Script  222

The Survival Game  Constructing and Testing the SMF/DMF Index  …with males & females from age 20 to 39 An, Yoon-Mo,, installation 2008, Jeju Museum of Contemporary Art

The Survival Game  ….from KGSS(Korean General Social Survey) 2007 dataset (SPSS format)  Filtering the sample including all males and females between age 20 and 39.  Sample = 286 Males and 310 Females

STAGE 1 : Age MaleFemale AA

STAGE 1 : Age MaleFemale

Script  At first, we separated a dataset which contains 20~39 year old males and females.  Age1: The distribution of age is presented. You can see that only few people are aged as the standard – 33 for male, 28 for female.  Age2: Thus, we have recoded this variable. The males who fit the standard get higher points, and people who are farther from the standard, get lower points. We treated the males from 32 to 34 as ‘A’ – 3 points. 30 to 31, and 35 to 36 as ‘B’ – 2 points. 28 to 29, 37 to 38 as ‘C’ – 1 points. The else are regarded as ‘F’ – 0 points. For the female, the data is recoded as same way. We treated the females from 27 to 29 as ‘A’. 25 to 26, and 30 to 31 as ‘B’. 23 to 24, and 32 to 33 as ‘C’. The else are regarded as ‘F’. The results are presented as Pie Chart.

STAGE 2 : Weight MaleFemale AA

STAGE 2 : Weight MaleFemale

Script  The weight values of People are recoded as same way as the ages are recoded.  Weight1: The distribution of weight is presented. It seems that the weight distribution follows the normal distribution.  Weight2: In fact, the ideal weight is very close to the average for both males and females. We gave ‘A’ for the male whose weight is between 70 and 74, for the female whose weight is between 52 and 55. The intervals for ‘B’ and ‘C’ are set as ‘3 kilograms’. The results are presented as pie chart.

STAGE 3 : Height MaleFemale A A

STAGE 3 : Height MaleFemale

Script  Height1: While the ideal male is tall as 178 centimeters, the average height of male is While the ideal female is tall as 167.9, the average height of female is  Height2: We gave ‘A’ for the male whose height is between 176 and 180, for the female whose height is between 166 and 170. And if one’s height is farther from the standard, we gave lower grade. The results are presented as pie chart. Unlikely to the general belief, we can see that the ‘ideal height’ is harsher for female than for male.

STAGE 4 : Academic Career MaleFemale A A

STAGE 4 : Academic Career MaleFemale

Script  Academic career1: While the ideal male should have a master’s degree, the ideal female needs to have bachelor’s degree.  Academic career2: We gave ‘A’ for the male whose degree is master or doctor, for the female whose degree is same as or higher than bachelor. A male who has a bachelor’s degree, and a female who graduated vocational college is given ‘B’. A male who graduated vocational college and a female who graduated high school got ‘C’.

STAGE 5 : Occupation MaleFemale 여 R:[ 임근 ] 고용지위 전체 상용직임시직일용직 정부빈도 6107 전체 4.8%.8%.0%5.6% 공기업빈도 6208 전체 4.8%1.6%.0%6.5% 사기업빈도 전체 55.6%12.1%1.6%69.4% 공익기관빈도 전체 12.1%4.8%1.6%18.5% 전체빈도 전체 77.4%19.4%3.2%100.0% 남 R:[ 임근 ] 고용지위 전체 상용직임시직일용직 정부빈도 6107 전체 3.5%.6%.0%4.0% 공기업빈도 1100 전체 6.4%.0% 6.4% 사기업빈도 전체 66.5%10.4%5.2%82.1% 공익기관빈도 1300 전체 7.5%.0% 7.5% 전체빈도 전체 83.8%11.0%5.2%100.0% A A

STAGE 5 : Occupation MaleFemale

Script  Occupation1: The rows of crosstable show the service sectors and the columns show the employment status.  Occupation2: The ideal male works for a public enterprise. So, a regular worker of public enterprise got ‘A’. Other regular workers got ‘B’, and self-employed workers and temporary workers got ‘C’. The females are classified similarly as the males, but a regular worker of government official got ‘A’, considering the standard from DUO. The results are presented as Pie Chart.

STAGE 6 : Monthly Income MaleFemale A A

STAGE 6 : Monthly Income MaleFemale

Script  Income1: Because of the limits of data, we used monthly income instead of yearly income. The distribution is presented as a histogram.  Income2: The ideal male earns more than 583 ‘manwon’ per month while the ideal female earns 300 ‘manwon’ per month. If one satisfies the standard, we gave ‘A’. A male whose income is between 400 and 582, is classified as ‘B’, between 300 and 399 classified as ‘C’. A female whose income is between 250 and 299, is classified as ‘B’, between 200 and 299 classified as ‘C’. The results are presented as Pie charts.

Results : SMF Index

Script  Now we have the results, here is a histogram which shows the distribution of SMF index for males.  Since we have considered 6 variables, the limitation of SMF index is 18. You will see that no one got 18 points, that means, no males in this sample satisfies the standards for ideal partner.  The distribution seems to follow the normal distribution.

Results : DMF Index

Script  Now here is a histogram which shows the distribution of DMF index for females. The distribution seems to follow the normal distribution.  The scale of DMF index is same as SMF index. Again, you will see that no one got 18 points, that means, no females in this sample satisfies the standards for ideal partner.

MALE VS FEMALE

Script  Now we constructed a new histogram which we can use for comparing the distribution of DMF to that of SMF. In the highest points, from 13 to 15, there are more females than males. They might be called ‘alpha girls’ who had a good education and occupations. In the upper middle intervals, there are more males than females, and as a result, there are fewer males in the lower side of this histogram.  It is clearer if we overlap the both sides to just one side. If people wants to marry a person with at least same SMF/DMF index as themselves, some of them cannot be married.

SMF Index and Happiness

DMF Index and Happiness

Script  We tested the SMF/DMF Index with simple correlation.  Our indices showed a significant correlations with the happiness and satisfaction on general life.  Having a good conditions may be important to live a happy life.

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