KR20050082384A - Real-time connubiality questionnaire research system performing survey and statistical analysis through the internet - Google Patents

Abstract

The present invention provides a couple relationship survey system that responds to a questionnaire on marital relations on the Internet and allows the member to select and search the analysis and statistics of the survey results in real time. Survey step for responding to various surveys related to the relationship; and statistical analysis step that members select the survey results by company, industry, age, occupation, region, hobbies, etc. in real-time search and analysis; and statistical analysis An environment setting step of setting a configuration required for updating; and an updating step of updating and adding an existing survey response content; It can be configured and carried out.

By applying the present invention, members can directly select and search and analyze the results of the survey on marital relations by company, industry, age, occupation, region, and hobbies, and improve or change physical condition after answering the questionnaire once. If there is, the response can be updated, and the time and cost of re-investigation can be saved, and the continuous change trend analysis of the sample is possible.

Description

Real-time connubiality questionnaire research system performing survey and statistical analysis through the internet}

The present invention relates to a method for conducting a questionnaire survey on sexual life between couples and heterosexuals on the Internet, and a system for analyzing and providing the results. Thus, the most extensive research on sexual life has been conducted in 1948 by American zoologist Kenji ( Kinsey, Alfred Charles), based on 11,240 interviews obtained from interviews with 18,000 Americans over a 10-year period, is also known as the "Kinjay Report". There is no comparable data, but it has been criticized for irregular sampling and universal reliability.

Even now, various media outlets are conducting surveys on sexual life between couples and heterosexuals. Sensitive surveys may reveal personal information and privacy, so survey methods such as telephone surveys, postal surveys, and direct interviews are available. It is hard to say that we analyzed reliable and sincerely answered data.

In addition, existing couples are reluctant to avoid talking about marital relations in conversations with friends, co-workers, or acquaintances, and have a strong tendency to avoid their current relationship. It is necessary to read the results of a rather exaggerated or underestimated stimulus questionnaire about marital relations to find out the location of their current marital relations. Or some of the great couples can be perceived as if they are the standard or basis of marital relations in Korea.

In addition, current surveys present a fairly comprehensive analysis. In other words, some age groups announce the results of a few percent, making it difficult to compare with people who are in the same environment, workplace, and occupation, or with people who have similar conditions. In addition, the survey by sampling, which consists of various methods, places, and occupations, occupations, and ages, is very difficult in terms of cost and time, and even after investing a huge amount of money and time, a certain period of time has elapsed. If you then re-examine, the cost and time can be as much as or more than before, and many people survey totally different people instead of re-examining previously-tested subjects. It is difficult to say that the survey was accurate and credible because it is impossible.

The present invention is a questionnaire number, company number, vehicle number, telephone number, place of residence of the respondents instead of asking questions about the personal information, name, date of birth, social security number, address, telephone number, etc. It is necessary to use a certain number of numbers included in the apartment house number and address of the apartment as a personal identification number, such as a social security number, to ensure the maximum privacy of the individual and to update the questionnaire responses due to changes in the physical condition of the individual after a certain period of time. By allowing them to change their responses, they can analyze changes in an individual over a period of time, maintain up-to-date data, and do not require significant re-investigation costs or time.

In addition, instead of reading unilateral analysis results provided by survey organizations, you can directly compare and analyze survey results of people with the same or similar jobs, occupations, hobbies and surroundings in real time using the Internet. The purpose is to organize and search by company, industry, age, occupation, region, hobby.

The present invention provides a member registration step for accessing the Internet site to input the necessary items for membership, and a survey step for inputting a response for the questionnaire necessary for the statistical analysis of marital relations; A statistical analysis step of searching for and analyzing a survey result by using the data answered by the questionnaire; and an environment setting step of setting a configuration for statistical analysis; and an updating step of updating and adding an existing survey response content; In the configuration,

Sign up step;

ID, password, ID verification password required for accessing this website, personal identification questions and answers for identity verification, personal identification number used in place of social security number to avoid leakage or disclosure of personal information, birth date, It can consist of gender, date of marriage, postal code of home location, postal code of home location, work name, job name, hobby, e-mail, information e-mail reception, agreement agreement.

Detailed configuration for inputting a personal identification number in the registration step is as follows. In general, social security numbers entered during membership registration are likely to be leaked due to hacking or illegal acts of Internet site administrators. Therefore, the purpose of inducing faithful answers to questionnaire about marital relations is minimized by minimizing concern about identity exposure of members.

The composition method is selected by the member's number used for military service, the company's company number, wire / wireless telephone number, car number, address of his / her residence address, or apartment number. According to one rule, it can be configured by using the number of 2 or more fixed digits from the front or the back.

For example, if a member selects the serial number (94997437) as the personal identification number and the Internet site manager specifies that only the numbers from the back to the six digits are used as the personal identification number, enter 997437. If the company number (19911967) is selected as the personal identification number and the Internet site manager specifies that only the numbers from the back of the company number to five digits are used as the personal identification number, enter 11967. 011-9801-0089) is selected as a personal identification number, and if the Internet site manager specifies that only numbers from 8 to 8 digits after the wired / wireless telephone number are used as the personal identification number, enter 98010089. (32 or 3659 or 31 is 3659) as a personally identifiable unique number, and the website administrator only needs If it is used as a personal identification number, enter 323659 or 313659, and the member selects the residential address (123-1) or apartment number (112-150 1501) as the personal identification number and the Internet site administrator. If stipulates that only numbers from 6 to 6 digits after the address or apartment number are used as the personal identification number, enter 001231 or 121501. In the above various examples, if the number of digits of the personal identification number selected and selected by the member is smaller than the number of digits specified by the Internet site manager, the remaining digits are filled with 0 and one embodiment is selected. Same as 1a.

Survey stage;

The purpose is to organize the responses of members in various surveys necessary for statistical analysis of marital relations. The survey contents include marital relationship days, relationship time, insertion duration, position change, foreplay or not, foreplay time, or foreplay, aftercare time, marital satisfaction, oral sex, planning relationship, planning relationship day, relationship It can be composed of the number of days you want to do, the number of days you need to do, the number of days you want to play, the number of days you need to play, the feeling of your wife's shower, the number of days you masturbate, the number of times you drink, the amount you smoke, the time you go to work, the time you leave, the number of days you work, .

The detailed structure of the survey contents is as shown in the following table, the "analysis item" which is the title of the survey contents used in the analysis table output in the statistical analysis step, and the detailed "additional explanation" about the survey contents, and the "contents of the responses" Response unit ”,“ response range ”that shows the type and range of content that can be responded to, and“ numerical value ”that quantifies the response range for statistical analysis. One embodiment of inputting the number of days of relationship, time required, number of position changes, foreplay or not, plan relationship, time to work is the same as FIG. 1B.

[Detailed Chart of Survey Content]

Analysis item Additional explanation Response unit Response range Digitization Couple days How many days do you have a marital relationship every 1, 2, or 3 months? 1 to 3 month average 1 month average1 day ~ 2 month average1 day ~ 3 month average1 day ~ no memory 1.00 to 0.50 to 0.33 to 0 Relationship time How long does it usually take for a couple to be married? Min / once average About 1 minute 1 to Insertion Duration How long does it take for ejaculation after insertion Min / once average About 1 minute 1 to Change of position How many times do you change your position once you are married? Times / average 1 to almost no change 1 to 0 Foreplay Do you go through foreplay in your marriage? Not rough, rough, half, often rough   0 25 50 75 100 Foreplay time If you have a foreplay stage, how many minutes do you usually have in a foreplay relationship? Min / once average 1 minute or less 1 to 0 Whether or not Does the couple go through the stage of after-care Not rough, rough, half, often rough   0 25 50 75 100 Hue Time If you have a stage, how many minutes do you usually have? Min / once average 1 minute or less 1 to 0 Marital Satisfaction How satisfied are you with your current marital relationship? Very satisfied Satisfied Usually Dissatisfied Very dissatisfied 100 75 50 25 0 Blowjob Do you have oral sex when you are married? Don't be scary   0 25 50 75 100 Planning relationship Whether the couple has decided on each day, date, frequency, etc. Not determined 1000

Analysis item Additional explanation Response unit Response range Digitization Planned relationship If you have decided the day, date, and number of times you should have a marital relationship, do you plan to have a few days a month? Daily / Monthly Average 1 day or so 01 to Days you want to be involved What is the average couple days I want to have? Daily / Month Average 1 day or so 01 to Days to be concerned What is the average monthly number of marital relationships that I feel compulsory? Daily / Month Average 1 day or so 01 to The number of days I want to spare What is the average number of days per month for couples to exercise, pick up and shop? Daily / Month Average 1 day or so 01 to Number of days of leisure What is the average number of days per month of exercise, hikes, shopping, etc. Daily / Month Average 1 day or so 01 to Wife shower sound The moment you feel when you hear your wife showering (a married husband only question) Very Good / Exciting Good Just Yes Not Very Like / Fear Not Married Husband 100 75 50 25 0- Masturbation Days How often do you masturbate in a month? Average / monthly 1 time 01 to Drinking How many days a month do you drink? Daily / Monthly Average 1 day not drinking ~ 01 to Smoking How many cigarettes do you smoke per week? Opening / weekly average 1 inseam 01 to working time What time do you usually leave your home to go to work? __ o'clock __ **** 01 Time off What time do you usually leave your office to leave work? __ o'clock __ **** 01 Overtime How many days do you usually work over a month? Daily / Monthly Average Almost none1 day 01 to Whether or not Do you have a second job besides your current job? Never 1000

Statistical analysis;

As shown in FIG. 3 using a question and answer DB (FIG. 2A) in which the members responded to the questionnaire at the survey stage are stored.

KOSPI listed company's marital relationship analysis menu, KOSDAQ listed company's marital relationship analysis menu, Section 1 for KOSPI listed companies, KOSDAQ listed companies, third market listed companies, other unlisted general workplaces, and government public institutions 3 Market analysis of marital relations by listed companies, other marital relations analysis by unlisted companies, marital relations analysis by subsidiaries of large corporations, marital relations analysis by government and public institutions, and survey results of two or more companies selected by members The marital relationship analysis menu of the company selected by the member who selected the member, the marital relationship analysis menu of my workplace worker who analyzes the survey results for other members who work in the same company as the member, and the marital relationship analysis menu by the residence / working place of my workplace worker Couple relationship analysis by analyzing the results of the survey for all members registered in the questionnaire response DB (Fig. 2a) It can be composed of menu, couple relationship analysis menu by place of residence / work, couple relationship analysis menu by place of hobbies, couple relationship analysis menu by place of residence / work by hobbies, my couple relationship analysis menu, and couple relationship analysis menu of selected age.

The detailed configuration of the marital relationship analysis menu (10 of FIG. 3) for each KOSPI listed company is as follows. The purpose of this menu is to analyze the contents of the responses to the questionnaire regarding the marital relations between members of the companies listed in KOSPI.

Referring to FIG. 4A, a member logged in to the Internet site clicks on the KOSPI listed company-specific marital relationship analysis menu (10 in FIG. 3) and selects the number of marital relationship days (10 in FIG. 4A) as an analysis item. Statistical calculation method (20 of FIG. 4A) is an analysis table that is output when the average value is selected. Only the companies whose members are stored in the survey response DB (FIG. 2A) using the company classification information DB (FIG. 2B) are KOSPI listed companies. This is a table that analyzes the company name, marital relationship days, and respondents in order of companies with the highest monthly average marital relationship days. The calculation method of the value 12 (40 of FIG. 4A) for the number of days of Binggrae's marital relationship, which is 1st in FIG. 4A, is as follows.

The average value selected by the statistical calculation method (20 of FIG. 4A) is a total of six people who work in Binggrasa stored in the questionnaire response DB (FIG. 2A) for the number of marital relation days selected by the member (10 of FIG. 4A). 30) responded that the sum of 16, 10, 14, 13, 9, and 10 is divided into 6 respondents (30 in FIG. 4A) of Binggrae's respondents to calculate 12 (40 in FIG. 4A), and this average value is Binggrae. It is a representative value for the number of days of marital relations of a company and is a reference value for ranking. In this way, the representative value of the number of marital relationship days is calculated for each KOSPI listed company, and the ranking is given in the order of 2, 3, and 4 with the Binggrassa where the highest representative value is calculated. If it is calculated as the number of decimal places, it is decided by internet site manager separately.

Statistics selection method (20 in FIG. 4A) can be configured with median, mode, maximum, and minimum values in addition to the average value.If the median value is selected, the response values of the six people working at Binggrasa are listed in order of magnitude (9, 10, 13, 14, 16) The center 13 is the representative value.If the number of numbers listed is even (e.g. 9, 10, 12, 14), the center value of 11, which is the center of 2, is 10 The representative value is the representative value, and if it is selected as the most frequent value, the representative value is 10, which has the same response value among the six respondents working in Binggrassa. For example, a representative value is determined according to 0 or an average value) .When the maximum value is selected, the representative value is 16, which is the highest value among the six responses of Binggrassa, and the minimum value is selected. The representative value can be calculated as 9, the lowest of the six respondents in Binggrassa.

The analysis item (10 in FIG. 4A) may be changed to another analysis item only for the analysis item in which the logged-in member answered the questionnaire on this Internet site. In addition, it is configured to analyze by selecting two or more, if the two or more representative value of the first analysis item (10 in Fig. 4b) is given the same rank or the representative value of the next analysis item (20 in Figure 4b) is high. The ranking may be given in order, or the ranking may be given according to a criterion set separately by the Internet site administrator. In FIG. 4B, when the representative value of the first analysis item is two or more identical, the representative value of the next analysis item is highest. In this case, it is an embodiment of the case in which the ranking is to be given.

In addition, all industries (50 in Fig. 4a, 30 in Fig. 4b) are food and beverages, textiles, clothing, paper, wood, chemicals, pharmaceuticals, non-metals, minerals, steel, metal, machinery, electricity, electronics, medical, precision, transportation equipment, It can be configured for members to select after limiting the scope by characteristics of KOSPI listed companies such as distribution, electricity, gas, construction, transportation, warehouse, telecommunications, finance, banking, securities, insurance, and services (Fig. 4c). , One embodiment when the food and beverage (10 of FIG. 4D) is selected is the same as FIG. 4D.

The detailed configuration of the marital relationship analysis menu (20 of FIG. 3) for each KOSDAQ listed company is as follows. This menu aims to analyze various questionnaire responses regarding the marital relations of members working in KOSDAQ listed companies, and the configuration method is the same as that of the KOSPI listed marital relation analysis menu (10 in FIG. 3). The scope of companies to be analyzed is limited to KOSDAQ listed companies only.

The detailed configuration of the marital relationship analysis menu (30 of FIG. 3) for each third market listed company is as follows. This menu aims to analyze various questionnaire response contents regarding the marital relations of members working in the companies listed in the third market, and the composition method is the composition of the marital relation analysis menu (10 in FIG. 3) by KOSPI listed companies. The scope of the same companies to be analyzed is limited to only those listed in the third market.

Detailed configuration of the marital relationship analysis menu (40 of FIG. 3) for each other unlisted company is as follows. This menu is aimed at analyzing the contents of various questionnaire responses regarding the marital relations of members working in a non-listed company, and the configuration method is the same as the composition of the marital relationship analysis menu (10 in FIG. 3) by KOSPI listed companies. The scope of the company is limited to only unlisted companies, and all types of business (50 in Figure 4a, 30 in Figure 4b) part of the range of financial institutions, media institutions, educational institutions, medical institutions, other institutions, etc. 1 The financial institutions are classified into banks, life insurance, non-life insurance, guarantee insurance, securities companies, foreign securities companies, securities investment advisory, securities investment trust business, credit professional finance business, start-up investment finance business, corporate consulting evaluation company, factoring installment Secondary classifications are made to financial companies, mutual savings banks, securities related institutes, futures trading, real estate trusts, Saemaul Undong, new cooperatives, and other financial institutions. Secondary classification to branch offices and other media organizations. Secondary classification to educational institutions is university (university), colleges, technical colleges, high schools, junior high schools, elementary schools, and other educational institutions. Medical institutions are general hospitals, private hospitals, and other medical institutions. By using the company classification information DB (FIG. 2B) classified secondly, it is comprised as FIG. 5A. 5B illustrates an example of a table in which a logged-in member analyzes and outputs a financial institution as a primary classification and a bank as a secondary classification.

The detailed configuration of the marital relationship analysis menu (50 of FIG. 3) for each large company affiliate is as follows. This menu aims to analyze various questionnaire responses regarding marital relations by subsidiaries of large corporations, and the composition method is the same as that of the KOSPI listed marital relation analysis menu (10 in FIG. 3), but all industries (50 in FIG. 4A). 4B, part 30 of FIG. 4B is composed of FIG. 6A and analyzed using only the company classification information DB (FIG. 2B). 6b illustrates that Samsung C & T, Cheil Industries, Samsung Fine Chemicals, Samsung Electronics, Samsung SDI, Hotel Shilla, and Samsung affiliated companies in the company classification information DB (Fig. 2b) when the logged-in member selects the Samsung group. This table analyzes and outputs only subsidiaries of Samsung Group such as Electricity, Samsung Heavy Industries, Samsung Techwin, S1, Samsung Securities, Samsung Engineering, and Cheil Worldwide.

Detailed configuration of the marital relationship analysis menu (60 of FIG. 3) for each government public institution is as follows. This menu is aimed at analyzing the contents of various questionnaire responses regarding the marital relations of members working at government public institutions, and the composition method is the same as the composition of the marital relation analysis menu (10 in FIG. 3) by KOSPI listed companies. The scope of the companies is limited to government and public institutions only, and all business types (50 of FIG. 4A and 30 of FIG. 4B) are composed of FIG. 7A and affiliated to the institution selected by the member using the company classification information DB (FIG. 2B). Analyze only sub-organizations. 7b illustrates an auditor, a national science and technology advisory conference, a national security council, and a national economy that correspond to affiliates of the president's direct agency in the company classification information database (FIG. 2b) when the logged-in member selects the president's direct agency. This table analyzes and outputs only those companies that belong to presidential organizations such as the Advisory Council, Presidential Security Office, Presidential Secretariat, Office of Democratic and Peaceful Unification Advisory Council, Anti-Corruption Committee, Interrogation Photographic Identification Committee, SME Special Committee, and Central Personnel Committee. .

The detailed configuration of the marital relationship analysis menu (70 of Figure 3) of the company selected by the member is as follows. This menu aims to analyze the response contents regarding the marital relations of members working in the company by selecting two or more of the companies stored in the company classification information DB (Fig. 2b). Same as the composition of the relationship analysis menu (10 in FIG. 3), but the entire business sector (50 in FIG. 4A and 30 in FIG. 4B) consists of the selected company name (10 in FIG. 8A) and the member selects the company (20 in FIG. 8A). Click) to directly select a company for analysis. 8A is a table outputted by analyzing a case where a logged-in member selects Samsung Electronics, the Ministry of Finance and Economy, Korean Language and Computer, Hyundai Motor Company, and the Auditor (FIG. 8B) in selecting a company (20 of FIG. 8A).

Detailed configuration of the marital relationship analysis menu (80 of FIG. 3) of my workplace workers is as follows. The purpose of this menu is to analyze the contents of the responses to the questionnaire about the marital relations of bosses, colleagues, and subordinates who are in the same workplace as the logged-in members.

Referring to FIG. 9A, when a member logged in to the Internet site clicks on the marital relationship analysis menu (80 of FIG. 3) of my workplace worker and selects the number of marital relationship days (10 of FIG. 9A) as an analysis item. As the output analysis table, only the members whose workplaces are stored in the question and answer DB (Fig. 2a) are members of the same workplace (Samsung Electronics) as the members who log in to this Internet site as the analysis target. This is a table that analyzes the age and marital relationship days.

The analysis item (10 of FIG. 9A) may be changed to another analysis item only for the analysis item in which the logged-in member answered the questionnaire on this Internet site. In addition, two or more can be selected and analyzed. If two or more representative values of the first analysis item (10 of FIG. 9B) are the same, the same rank is given or the representative value of the next analysis item (20 of FIG. 9B) is high. The ranking can be given in order or the ranking can be given according to a criterion set separately by the Internet site administrator. In FIG. 9B, when the representative value of the first analysis item is two or more identical, the representative value of the next analysis item is high. In this case, it is an embodiment of the case in which the ranking is to be given.

In addition, by changing the age range (10 in Fig. 9c) can be analyzed by limiting the range by a specific age group Internet site administrators to answer a variety of questions about the relationship between the boss, colleagues, subordinates, etc. The purpose is to group and analyze by age range. Referring to FIG. 9C, a member who logs in to this Internet site clicks on the marital relationship analysis menu (80 of FIG. 3) of my workplace worker and selects the number of marital relationship days (20 of FIG. 9C) as an analysis item. When the average value is selected as the statistical value calculation method (30 in FIG. 9C), and the user selects to view the two-year interval after clicking the change of age range (10 in FIG. 9C), the member stored in the questionnaire response DB (FIG. 2A). Only the members of the same employees who are the same as the members who log in to this Internet site are extracted for analysis, and the age, marital relationship days, and respondents are output in the order of highest priority, in order of highest monthly average marital relationship days.

The calculation method of the numerical value 12 (40 of FIG. 9C) with respect to the couple days (20 of FIG. 9C) of the 24-25 age group which is 1st in FIG. 9C is as follows. The average value (30 in FIG. 9C) selected by the statistical calculation method is 6 members (ages 24 to 25 years old) among members working at Samsung Electronics stored in the questionnaire response DB (FIG. 2A) for the item of marital relations selected by the member (FIG. If 50) of 9c responds to 16, 10, 14, 13, 9, and 10, the sum 72 is divided by 6 respondents (50 in FIG. 9C) and calculated as 12 (40 in FIG. 9C). It is a representative value for the items of marital relationship days (20 in Fig. 9C) and the reference value for ranking.

In this way, the representative value for the number of days of marital relations is calculated for each age range set by the Internet site administrator, and the ranking is ordered in the order of 2, 3, and 4, with the highest representative value of 24 to 25 years old. If the representative value is calculated below the decimal point, the number of decimal places is applied by the internet site administrator.

The statistical calculation method selection menu (30 in Fig. 9C) can be composed of median, mode, maximum, and minimum values in addition to the average value. When the median value is selected, six people aged 24 to 25 working in the same workplace (Samsung Electronics) as members List the numbers in order of magnitude (9, 10, 13, 14, 16) and the center 13 is the representative value.If the number of numbers listed is even (e.g. 9, 10, 12, 14) The representative value of 11, which is the middle value of two values, 10 and 12, becomes the representative value.In the case of the mode selected, the representative value of 10, which has the highest number of response values among the six respondents aged 24 to 25 years in the same workplace (Samsung Electronics), is the representative value. If there is no same response value or two or more, the representative value is set according to the criteria set by the Internet site administrator separately (for example, 0 or average value). The representative value is 16, which is the highest value among six respondents aged 24 to 25 years old, and if the minimum value is selected, the representative value is 9, the lowest value among nine respondents aged 24 to 25 working in the same workplace (Samsung Electronics) as members. can do.

The analysis item (20 of FIG. 9C) may be changed to another analysis item only for the analysis item in which the logged-in member answered the questionnaire on this Internet site. In addition, two or more can be selected and analyzed. If two or more representative values of the first analysis item (10 of FIG. 9D) are the same, the same rank is given or the representative value of the next analysis item (20 of FIG. 9D) is high. The ranking may be given in order, or the ranking may be given according to a criterion set separately by the Internet site administrator. In FIG. 9D, when the representative value of the first analysis item is two or more identical, the representative value of the next analysis item is highest. In this case, it is an embodiment of the case in which the ranking is to be given.

The detailed configuration of the marital relationship analysis menu (90 of FIG. 3) for each work place / working place of my workplace is as follows. The purpose of this analysis is to analyze the responses to the questionnaire regarding the marital relationship by the boss, co-worker, and subordinates who work at the same place as the logged-in member by their residence or when the workplace is located in more than one area.

Referring to FIG. 10A, one couple of employees / residents / workers in order to analyze the marital relations of employees working in Suwon, Gyeonggi-do, which is one of the workplaces of Samsung Electronics, whose members log in to this Internet site Click on the relationship analysis menu (90 in FIG. 3), select the place of work (10 in FIG. 10A), select Suwon, Gyeonggi-do (20 in FIG. 10A), and select the marital relationship days (30 in FIG. 10A) as an analysis item. As the analysis table, the members of the members stored in the question and answer DB (FIG. 2a) go to the same workplace (Samsung Electronics) as the members who log in to this Internet site, and only the members whose working place is Suwon-si, Gyeonggi-do are analyzed for The age and marital relationship days are output from the 1st order, with the highest number of responses.

In FIG. 10A, the Internet site manager is configured to select a work place and a place of residence (FIG. 10ba) so that the member can select it. If you configure the address of the postal code of the work place of all members who work at the Internet site manager to print only one (Fig. 10bb) so as not to be duplicated to the range of the city, county, and district set by the Internet site manager. In FIG. 10A, 20, only one address is provided so that the address corresponding to the home zip code of all the members who work for Samsung Electronics in the survey response DB (FIG. Can be configured to output (Figure 10bb).

When the member logged in in FIG. 10A selects a work place, the first three digits of the work place zip code entered at the survey stage are 142 (Gwangbuk-gu, Seoul) in the survey response DB (FIG. 2A). ), 137 (Seocho-gu, Seoul), 441 (Gwon-gu, Suwon-si, Gyeonggi-do), 443 (Amtong-gu, Suwon-si, Gyeonggi-do), 440 (Jangan-gu, Suwon-si, Gyeonggi-do), 442 (Paldang-gu, Suwon-si, Gyeonggi-do), and 300 (Dong-gu, Daejeon, Daejeon), If the Internet site administrator has determined the address output range only by the unit of city, province, Seoul, Gyeonggi-do, Suwon-si, Daejeon-si is configured so that only one output (Fig. 10bb) can be selected, and if the member selects Suwon-si, Gyeonggi-do, The members with the highest response value for the number of days of marital relations among the members whose first three digits are 441, 443, 440, 442 shall be ranked in the order of 2, 3, 4 in order. The output range of the city, county, county, etc. determined by the Internet site administrator is configured with reference to the postal code granting standard (FIG. 10C) defined by the Korea Post.

The analysis item (10 in FIG. 10D) may be changed to another analysis item only for the analysis item in which the logged-in member responds to the questionnaire on the Internet site. In addition, two or more can be selected and analyzed. If two or more representative values of the first analysis item (10 in FIG. 10D) are the same, the same rank is given or the representative value of the next analysis item (20 in FIG. 10D) is high. The ranking may be given in order, or the ranking may be given according to a criterion set separately by the Internet site administrator. In FIG. 10D, if the representative value of the first analysis item is two or more identical, the next analysis item has the highest value. In this case, it is an embodiment of the case in which the ranking is to be given.

In addition, by changing the age range (10 in Figure 10e) can be analyzed by limiting the range by specific age group, the boss, co-worker, subsidiary's home location or work place in two or more areas, such as the logged-in member In this case, the purpose of this study is to group and analyze by age range set by the Internet site manager. Referring to FIG. 10E, a member who logs in to this Internet site analyzes the marital relationship of employees working at Suwon, Gyeonggi-do, which is one of the workplaces of Samsung Electronics. Click on the marital relationship analysis menu (90 in FIG. 3) by residence / working place, select the working place (20 in FIG. 10e), select Suwon-si, Gyeonggi-do (30 in FIG. 10e), and the number of marital relationship days (40 in FIG. 10e). ) Is selected and the average value is selected as a statistical calculation method (50 of FIG. 10e), and after selecting age view (10 of FIG. 10e) and selecting a view for 2 years, the questionnaire response DB (FIG. 2a) ) Only members of the same employees who have the same workplace as the member who logged in to this website are analyzed for analysis. Respondents are analyzed and output.

The calculation method of the numerical value 12 (60 of FIG. 10E) with respect to the marital relationship days of 24-25 age group which is 1st in FIG. 10E is as follows. The average value (50 in FIG. 10E) selected by the statistical calculation method is 24 ~ 20 years old among members working at Samsung Electronics stored in the questionnaire response DB (FIG. 2A) for the number of days of marital relations selected by the member (40 in FIG. 10E). If six 25-year-olds (70 in Fig. 10E) responded to the numbers 16, 10, 14, 13, 9, and 10, the sum of 72 divided by six respondents (70 in Fig. 10E) was calculated as 12 (60 in Fig. 10E). The average value is a representative value for the number of marital relations between 24 and 25 years old and is a reference value for ranking.

In this way, the representative value for the number of days of marital relations is calculated for each age range set by the Internet site administrator, and the ranking is ordered in the order of 2, 3, and 4, with the highest representative value of 24 to 25 years old. If the representative value is calculated below the decimal point, the number of decimal places is applied by the internet site administrator.

Statistics selection method (50 in Fig. 10E) The selection menu can be composed of median, mode, maximum, and minimum values in addition to the average value. When the median value is selected, the response values of six people aged 24 to 25 are arranged in order of magnitude (9, 10). (13, 14, 16) The central 13 is the representative value.If the number of listed values is even (e.g. 9, 10, 12, 14), the middle value 11 of the two centrally located values 10, 12 is The representative value is the representative value, and if it is selected as the most frequent value, the representative value is 10, which has the same response value among the 6 to 24 year olds. If there is no identical response value or two or more, the criteria set by the website administrator separately (eg 0 If the maximum value is selected, the representative value is 16, which is the highest value among six responses of 24 to 25 years old.It can be calculated as the representative value.

The analysis item (10 in FIG. 10F) may be changed to another analysis item only for the analysis item in which the logged-in member responded to the questionnaire on this Internet site. In addition, two or more can be selected and analyzed. If two or more representative values of the first analysis item (10 in FIG. 10F) are the same, the same rank is given or the representative value of the next analysis item (20 in FIG. 10F) is high. The ranking may be given in order, or the ranking may be given according to a criterion set separately by the Internet site administrator. In FIG. 10F, if the representative value of the first analysis item is two or more identical, the representative value of the next analysis item is highest. In this case, it is an embodiment of the case in which the ranking is to be given.

The detailed configuration of the couple relationship analysis menu (100 in Figure 3) by job is as follows. The purpose of this analysis is to analyze the contents of various questionnaire responses regarding the marital relations of members engaged in the occupations selected by the logged-in members, and the configuration method is the same as that of the marital relation analysis menu (80 in FIG. 3) of my employees. The scope of the member to be analyzed is configured to be limited to the occupations selected by the logged-in member in the question and answer DB (FIG. 2A) using the occupation search (10 in FIG. 11A). In an embodiment of FIG. 11A, when a logged-in member selects a lawyer as a job in a question and answer DB (FIG. 2A), a different job type may be selected and analyzed using the job search (FIG. 11B) as an analysis table that is output.

The detailed configuration of the marital relationship analysis menu (110 of FIG. 3) by occupation / working place by occupation is as follows. The purpose of this analysis is to analyze the responses to the questionnaire about the marital relationship by the place of residence or the place of work of the members who are engaged in the occupation selected by the logged-in member in two or more areas. Same as the composition of the couple relationship analysis menu (90 of FIG. 3) by worker's place of residence / working place, but the scope of the member to be analyzed is the questionnaire response DB by the logged-in member using the job search (10 in FIG. 12). Only limited to occupations selected in). 12 is an analysis table when a logged-in member selects an attorney as a job in a question and answer DB (FIG. 2A) and selects a work place in Suwon, Gyeonggi-do, and may select and analyze another job by using a job search (Fig. 11B). have.

Detailed configuration of the marital relationship analysis menu (120 of FIG. 3) for each hobby is as follows. The purpose of this analysis is to analyze various questionnaire responses regarding the marital relations of members who have the hobbies selected by the logged-in members, and the configuration method is the same as that of the marital relation analysis menu (80 in FIG. 3) of my employees. The scope of the member to be analyzed is configured to be limited to the hobby selected by the logged-in member in the question and answer DB (Fig. 2a) using the hobby search (10 in Fig. 13a). 13A is an analysis table outputted when a logged-in member selects golf as a hobby in a question and answer DB (FIG. 2A), and may select and analyze another occupation by using a hobby finder (FIG. 13B).

Detailed configuration of the marital relationship analysis menu (130 of FIG. 3) by hobbies / working places according to the above is as follows. The purpose of this analysis is to analyze the responses to the questionnaire about the marital relationship by the place of residence or the place of work of the members who have the hobbies selected by the logged-in member by the place of residence or the workplace. The same as the composition of the couple relationship analysis menu (90 of FIG. 3) by worker's residence / working place, but the scope of the member to be analyzed is the questionnaire response DB by the logged-in member using the hobby search (10 in FIG. 14). Only limited to hobbies selected in). 14 is an analysis table when a logged-in member selects golf as a hobby from a question and answer DB (FIG. 2A) and selects a work place as Suwon, Gyeonggi-do, and can select and analyze another hobby using a hobby finder (FIG. 13B). have.

The detailed configuration of my marital relationship analysis menu (140 of FIG. 3) is as follows. The purpose of this analysis is to analyze the contents of various survey responses regarding the marital relations of all members stored in the survey response DB (FIG. 2A) of the Internet site. The same as the configuration, but the scope of the members to be analyzed is configured for all members stored in the question and answer DB (Fig. 2a). 15 is an analysis table that is output when a logged-in member selects my marital relationship analysis menu.

Detailed configuration of the marital relationship analysis menu (150 of FIG. 3) of the selected age is as follows. This analysis aims to analyze various questionnaire responses regarding the marital relationship between different ages of logged-in members, and the configuration method is the same as the composition of the marital relationship analysis menu (90 in FIG. 3) by residence / working place of my employees. 10 of FIG. 10A and 20 of FIG. 10A consist of 10 of FIG. In one embodiment of FIG. 16, a logged-in member analyzes a 31-32-year-old couple's relationship working in Suwon, Gyeonggi-do, and may be analyzed by inputting another age.

The detailed configuration of the age range change selection menu in the analysis table output in the statistical analysis step is as follows. This menu aims to analyze the age group by the specific age range when the age group change item (for example, 10 to 18f in FIG. 18c) is included in the table analyzed and output in the statistical analysis step. Site administrator can be configured in a range of 1, 2, 5, 10 years (Fig. 17).

The composition method is divided into 1 year intervals, such as 20, 21, 22, 23, 24, if you choose to view every year, 20 to 21, 22 to 23, 24 if you choose to view every two years Age groups are divided at two year intervals, such as -25, 26-27, 28-29, and 30-31.If you choose to view at five-year intervals, 20 to 24, 25 to 29, 30 to 34, 35 to 39 As shown in FIG. 5, the age groups are classified by 5 year intervals, and when the view is selected at 10 year intervals, the age groups can be classified by 10 year intervals such as 20 to 29, 30 to 39, and 40 to 49.

Environment setting step;

As shown in Fig. 18A to Fig. 18F, the menu includes the My Rank included menu (160 in Fig. 3). The detailed configuration is as follows. This menu is intended to assist in the analysis by adding the member's own data to the various analysis table output in the statistical analysis step, if you describe an embodiment with Fig. 18a to 18f menu (Fig. 3) In the case of selecting to include in 160), the member's own data occupies one row separately according to the ranking in the various analysis tables outputted in the statistical analysis step so that the user can be identified by color or separate display (FIGS. 18A to FIG. 18f), and if it is not selected to include the same as the configuration of the table analyzed and output in the statistical analysis step.

Update step;

After the member responds to the questionnaire at the survey stage, it is composed of an update information menu (170 of FIG. 3) for updating the response or inputting an additional response. Enter the responses to the various survey items in the step and select and input when you want to change the contents of the survey response by the physical and environmental change factors of the member after a certain period of time, or to add an additional response to the survey that did not respond. The configuration content as a menu is the same as the detailed configuration table of the survey content shown in the survey step.

In the present invention, since personal privacy and anonymity are guaranteed by a personal identification number, it is possible to induce a candid response in the first survey, and when it is necessary to update the previous response contents by improving or changing the physical situation even during the re-examination. This allows for analysis of trends in ongoing marital relationships for an individual, and minimizes the time and cost of re-investigation.

In addition, rather than reading unilateral analysis results provided by survey companies, survey results of people with the same or similar workplaces, occupations, hobbies, and surroundings in real time can be compared and analyzed by company, industry, and age. By directly selecting, searching, and analyzing by job, job, region, and hobbies, it is possible to reduce personal damages caused by exaggerated or underestimated press releases by the media.

Figure 1a is a personal identification number input screen to enter at the registration step

Figure 1b is an embodiment of an input screen in response to the survey content in the survey step

Figure 2a is a DB for storing the survey response content input at the survey stage

Figure 2b is a company classification information DB used in the statistical analysis step

3 is a configuration diagram of a menu for selecting various statistical analysis execution

4A to 10BB, and FIGS. 10D to 18F are analysis tables for each menu in the statistical analysis step.

10c is a postal code assignment standard of the Korea Post Office

Claims (3)

The present invention is a marital relationship survey system that responds to the questionnaire about marital relations on the Internet, and allows members to select and search the analysis and statistics of survey results in real time. Member registration step of registering a member using the Internet; A survey step of responding to various surveys related to marital relations; Statistical analysis step in which the member selects the survey results by company, industry, age, occupation, region, hobby, etc. in search and analysis in real time; An environment setting step of setting a configuration required for statistical analysis; In the configuration consisting of an update step of updating, adding to the existing survey response content ID, password, ID verification password required for accessing this website, personal identification questions and answers for identity verification, personal identification number used in place of social security number to avoid leakage or disclosure of personal information, birth date, A registration step comprising inputting a gender, a date of marriage, a zip code of a home location, a zip code of a work location, a job name, a job name, a hobby, an e-mail, information e-mail reception, agreement agreement, and the like; Marriage relationship days, relationship time, insertion duration, posture change, foreplay or not, foreplay time, foreplay time, foreplay time, marital relationship satisfaction, oral sex Whether or not, planning relationship, days of planning relationship, days you want to be related, days you need to be involved, days you want to leisure, days you need to spare, wife shower feeling, masturbation days, drinking times, smoking amount, time to work, time off work, A survey step of asking and responding to the number of overtime days, side jobs, etc .; Analyzing the survey results for KOSPI listed companies, KOSDAQ listed companies, third market listed companies, other unlisted general workplaces, and government and public organizations using the questionnaire response DB, which stores the data that members responded to during the survey stage. Married Couples Analysis Menu by KOSPI Listed Companies, Married Couples Analysis Menu by KOSDAQ Listed Companies, Married Couples Analysis Menu by Third Market Listed Companies, Married Couples Analysis Menu by Unlisted Companies, Married Couples Analysis by Large Companies, Government Couples My workplace that analyzes the survey results from the relationship analysis menu and the couple relationship analysis menu of the company selected by the member analyzing the survey results of two or more companies selected by the member and the other members who work in the same company as the member. Couple's marital relationship analysis menu, my wife's marital relationship analysis menu by place of residence / working place and question and answer DB Marriage relationship analysis menu by job category to analyze the survey results for all members, couple relationship analysis menu by residence / work place by job type, marital relationship analysis menu by hobby, couple relationship analysis menu by place of residence / work place, my marital relationship analysis A statistical analysis step consisting of a menu and a marital relationship analysis menu of a selected age; Including my ranking to select whether or not to output the member's own data in the various analysis table output in the statistical analysis step so that the user can be identified by the color or separate display to occupy a separate row according to the ranking; An update step for inputting a response to various survey items in a survey step and changing the survey response contents according to various physical and environmental factors of the member after a predetermined time elapses or adding an additional response to a survey that has not been answered; Survey system In the registration stage of paragraph 1 In order to input a personal identification number, the resident registration number that is usually entered during membership registration may be leaked due to hacking or illegal activities of the Internet site administrator. In order to induce a sincere answer, the member shall select one of the number provided by the member during the military service, his / her company number, wire / wireless telephone number, car number, address of his / her residence address or apartment number, and list only the numbers in a series. Survey system, characterized in that by using a number of two or more predetermined digits from the front or back in accordance with the rules prescribed by the site administrator In the statistical analysis step 1 The analysis item is a survey system characterized in that the logged-in member is configured to change to another analysis item only for the analysis item responding to the questionnaire.