KR101900414B1 - Method for providing statistical analysis service for survey, statistical analysis, and study using thereof - Google Patents

Abstract

Provided is a method of providing a statistical analysis service for a survey, a statistical analysis, and a study using a survey and a statistical analysis. The method comprises the steps of: selecting input data corresponding to an uploaded survey result or pre-stored statistical data from an analysis request terminal; receiving at least one analysis method of an analysis type for a statistical analysis, a variable, and a graph, which is an output method, from the input data selected from the analysis request terminal; and generating a statistical analysis result for corresponding to the survey result or the pre-stored statistical data to the variable and the output method with a stored statistical analysis algorithm in response to the received analysis method.

Description

METHOD FOR PROVIDING STATISTICAL ANALYSIS SERVICE FOR SURVEY, STATISTICAL ANALYSIS, AND STUDY USING THEREOF BACKGROUND OF THE INVENTION 1. Field of the Invention < RTI ID = 0.0 >

The present invention relates to a method for providing a statistical analysis service for surveying, statistical analysis and its teaching use, generating a questionnaire without installing a program, outputting statistical results by using plural kinds of analysis techniques It provides a method that can be used for analysis and teaching using stored survey data.

Statistical analysis programs and statistical analysis methods have evolved in various ways, and if the program is purchased and the statistical tool is used, it has evolved to enable complicated statistical analysis. There is a great demand for statistical analysis from graduate students, researchers, marketing departments, students and teachers. After collecting the data to conduct the research, it is necessary to analyze the collected data. The method of analyzing the data can be applied differently according to the study purpose, variables, and the scale. Recently, social science has used SPSS (Statistical Package for Social Science) program.

In this regard, the statistical analysis was used when performing SLA information management. In the related art, Korean Patent No. 10-0734848 (issued on July 03, 2007) describes management information about current network, customer service quality, In order to try to predict the future based on the statistical information of the customer's service quality assurance and the like, the SLA information is classified into the unit information constituting the information, and the statistics for the statistical analysis based on the unit information We construct statistical analysis models, define statistical analysis models for statistical analysis of sorted and sorted SLA information, select candidate analysis models for statistical analysis, and determine optimal analysis models among selected candidate analysis models And a statistical analysis result information is derived by applying a definite analysis model.

However, there is no program or tool that can be easily accessed by the general public. The researcher does not have to install the program on the website for the research, the teacher for the student's lesson, It is not possible to provide an intuitive user interface.

One embodiment of the present invention provides an intuitive interface that enables the user to proceed from questionnaire preparation to statistical analysis by setting qualitative and quantitative variables from frequency analysis to regression analysis and provides statistical analysis data And provides a statistical analysis service method for surveying, statistical analysis and the utilization of the lesson, which provides convenience of report creation by automatically pasting comments when quoted. It should be understood, however, that the technical scope of the present invention is not limited to the above-described technical problems, and other technical problems may exist.

According to an aspect of the present invention, there is provided a method of analyzing a statistical data, comprising the steps of: receiving input data corresponding to an uploaded survey result or pre-stored statistical data from an analysis request terminal; A method for analyzing at least one of an analysis type, a variable and an output method for statistical analysis from the data, and a statistical analysis algorithm stored in correspondence with the analysis type included in the received analysis method, And generating the statistical analysis result so that the stored statistical data corresponds to the variable and the output method.

According to any one of the above-mentioned tasks of the present invention, it is possible to provide an intuitive interface through which users can proceed from questionnaire preparation to statistical analysis by setting qualitative variables and quantitative variables from frequency analysis to regression analysis. And provides the statistical analysis data to make it easier to create a report by automatically annotating it when quoted.

FIG. 1 is a diagram for explaining a statistical analysis service providing system for surveying, statistical analysis, and teaching utilization according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating a statistical analysis service providing server included in the system of FIG. 1;
3 to 14 are views for explaining an embodiment in which a survey service according to an embodiment of the present invention is implemented.
15 to 30 are views for explaining an embodiment in which a statistical analysis service according to an embodiment of the present invention is implemented.
31 to 49 are diagrams for explaining an embodiment in which a class utilizing service according to an embodiment of the present invention is implemented.
50 is a flowchart illustrating a method of providing a statistical analysis service for surveying, statistical analysis, and classroom utilization according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as "including" an element, it is to be understood that the element may include other elements as well as other elements, And does not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.

The terms "about "," substantially ", etc. used to the extent that they are used throughout the specification are used in their numerical value or in close proximity to their numerical values when the manufacturing and material tolerances inherent in the stated meanings are presented, Accurate or absolute numbers are used to help prevent unauthorized exploitation by unauthorized intruders of the referenced disclosure. The word " step (or step) "or" step "does not mean" step for. &Quot;

In this specification, the term " part " includes a unit realized by hardware, a unit realized by software, and a unit realized by using both. Further, one unit may be implemented using two or more hardware, or two or more units may be implemented by one hardware.

In this specification, some of the operations or functions described as being performed by a terminal, a device, or a device may be performed instead in a server connected to the terminal, device, or device. Likewise, some of the operations or functions described as being performed by the server may also be performed in a terminal, device or device connected to the server.

In this specification, some of the operations or functions described in the mapping or matching with the terminal are used for mapping or matching the unique number of the terminal or the identification information of the individual, which is the identification data of the terminal . ≪ / RTI >

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a diagram for explaining a statistical analysis service providing system for surveying, statistical analysis, and teaching utilization according to an embodiment of the present invention. 1, a statistical analysis service providing system 1 for surveying, statistical analysis, and classroom utilization includes an analysis request terminal 100, a statistical analysis service providing server 300, a teacher terminal 400, And may include a terminal 500. However, since the statistical analysis service providing system 1 for surveying, statistical analysis, and classroom utilization of FIG. 1 is merely an embodiment of the present invention, the present invention is not limited to FIG.

At this time, the respective components of FIG. 1 are generally connected through a network 200. For example, as shown in FIG. 1, the analysis request terminal 100 may be connected to the statistical analysis service providing server 300 through the network 200. The statistical analysis service providing server 300 may be connected to the analysis request terminal 100, the teacher terminal 400, and the responder terminal 500 through the network 200. In addition, the teacher terminal 400 can be connected to the statistical analysis service providing server 300 and the analysis request terminal 100 through the network 200. The responder terminal 500 may be connected to the analysis request terminal 100, the statistical analysis service providing server 300 and the teacher terminal 400 through the network 200. [

Here, the network means a connection structure in which information can be exchanged between each node such as a plurality of terminals and servers. Examples of such a network include RF, 3rd Generation Partnership Project (3GPP) network, Long Term A Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Wide Area Network (WAN), and a Wide Area Network (WAN) , A Personal Area Network (PAN), a Bluetooth network, an NFC network, a satellite broadcast network, an analog broadcast network, a DMB (Digital Multimedia Broadcasting) network, and the like.

In the following, the term at least one is defined as a term including the singular and plural, and even though the term " at least one " does not exist, it is to be understood that each constituent may exist singly or plurally, It will be self-evident. It is to be noted that the constituent elements may be provided singularly or plurally in various manners depending on the embodiment.

The analysis request terminal 100 is a user who wants to include surveying, statistical analysis and teaching materials by using web pages, app pages, programs or applications related to statistical analysis services for surveying, statistical analysis, A student, a researcher, or the like. The analysis request terminal 100 may be a terminal that generates a survey by itself and receives the analysis result using the statistical analysis tool. When generating the questionnaire, the analysis request terminal 100 creates a questionnaire and collects responses from the responders. Then, the analysis request terminal 100 inputs the row data and transmits the result to the statistical analysis service providing server 300). In addition, the analysis request terminal 100 may be a terminal that uploads a report including statistical data to a page generated by the teacher terminal 400 so as to utilize the generated statistical data for teaching.

Here, the analysis request terminal 100 may be implemented as a computer that can access a remote server or terminal through a network. Here, the computer may include, for example, a navigation device, a notebook computer equipped with a web browser (WEB Browser), a desktop, a laptop, and the like. At this time, the analysis request terminal 100 may be implemented as a terminal capable of connecting to a remote server or a terminal via a network. The analysis request terminal 100 is a wireless communication device that is guaranteed to be portable and mobility, for example, as a navigation device, a personal communication system (PCS), a global system for mobile communications (GSM), a personal digital cellular (PDC) Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication) -2000, CDMA (Code Division Multiple Access) -2000, W-CDMA (W- A handheld based wireless communication device such as a smart phone, a smartphone, a smartpad, a tablet PC, and the like.

The statistical analysis service providing server 300 may be a server that provides a statistical analysis service web page, an app page, a program, or an application for surveying, statistical analysis and utilization of the lesson. Then, the statistical analysis service providing server 300 constructs various kinds of low data for statistical analysis as a database, and when the analysis request terminal 100 selects row data for statistical analysis and selects an analysis type, A server for generating the result by an algorithm according to an analysis tool corresponding to the analysis type by inputting the raw data and transmitting the generated result to the analysis request terminal 100. In addition, the statistical analysis service providing server 300 provides an interface for generating a questionnaire so that the analysis request terminal 100 can conduct a questionnaire on its own, aggregate the questionnaire results, and perform statistical analysis Lt; / RTI > Accordingly, when the survey result is derived, the statistical analysis service providing server 300 collects and refines the results, performs statistical analysis according to the type of analysis selected by the analysis requester, statistical analysis according to the types of variables and graphs, To the analysis requesting terminal (100). When the statistical analysis service providing server 300 generates a report upload page in the teacher terminal 400 and uploads the report to the analysis request terminal 100 as a student on the generated upload page, 100). When the result is inserted into the report, the source and the like are automatically inserted. When the student creates a report by directly conducting the survey, the analysis request terminal 100 ) Allows you to upload reports to this report upload page.

Here, the statistical analysis service providing server 300 may be implemented as a computer capable of connecting to a remote server or terminal through a network. Here, the computer may include, for example, a navigation device, a notebook computer equipped with a web browser (WEB Browser), a desktop, a laptop, and the like.

The teacher terminal 400 may be a teacher's terminal using a web page, an app page, a program, or an application related to a statistical analysis service for surveying, statistical analysis and utilization of the class. The teacher terminal 400 may be a terminal that provides a task for generating an assignment or a report to the students and generates an upload page so that the result is uploaded to a page provided by the statistical analysis service providing server 300. [ In addition, the teacher terminal 400 may be a terminal that receives the results of which students have performed an assignment, etc. from the statistical analysis service providing server 300.

Here, the teacher terminal 400 may be implemented as a computer capable of connecting to a remote server or terminal through a network. Here, the computer may include, for example, a navigation device, a notebook computer equipped with a web browser (WEB Browser), a desktop, a laptop, and the like. At this time, the teacher terminal 400 may be implemented as a terminal capable of connecting to a remote server or a terminal through a network. The teacher terminal 400 is a wireless communication device that ensures portability and mobility, for example, as a navigation device, a personal communication system (PCS), a global system for mobile communications (GSM), a personal digital cellular (PDC) Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication) -2000, Code Division Multiple Access (CDMA) -2000, W-Code Division Multiple Access (W-CDMA), Wibro (Wireless Broadband Internet) A handheld based wireless communication device such as a smartphone, a smartpad, a tablet PC, and the like.

The responder terminal 500 may be a terminal of a responder responding to a questionnaire using a web page, an app page, a program, or an application related to a statistical analysis service for surveying, statistical analysis, and lecture utilization.

Here, the responder terminal 500 may be implemented as a computer capable of connecting to a remote server or terminal through a network. Here, the computer may include, for example, a navigation device, a notebook computer equipped with a web browser (WEB Browser), a desktop, a laptop, and the like. At this time, the responder terminal 500 can be implemented as a terminal capable of connecting to a remote server or a terminal through a network. The responder terminal 500 may be, for example, a wireless communication device with guaranteed portability and mobility, such as navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication) -2000, Code Division Multiple Access (CDMA) -2000, W-Code Division Multiple Access (W-CDMA), Wibro (Wireless Broadband Internet) A handheld based wireless communication device such as a smartphone, a smartpad, a tablet PC, and the like.

FIG. 2 is a block diagram illustrating a statistical analysis service providing server included in the system of FIG. 1, and FIGS. 3 to 14 illustrate an embodiment in which a survey service according to an embodiment of the present invention is implemented. And FIGS. 15 to 30 are diagrams for explaining an embodiment in which a statistical analysis service according to an embodiment of the present invention is implemented. FIG. 31 to FIG. 49 are diagrams for explaining a statistical analysis service according to an embodiment of the present invention Service according to an embodiment of the present invention.

An embodiment of the present invention provides a survey tool (first embodiment: input value generation) and provides tools for statistical analysis (second embodiment: statistical analysis) on survey or stored data (A third embodiment: generating a report) so that the result of the statistical analysis can be inserted into a report or the like. This will be described with reference to FIG. 3 to FIG. 49 The first embodiment through the third embodiment will be described.

Referring to FIG. 2, the statistical analysis service providing server 300 may include a selecting unit 310, a receiving unit 320, a generating unit 330, a report managing unit 340, and a surveying unit 350.

The statistical analysis service providing server 300 according to an embodiment of the present invention or another server (not shown) operated in cooperation with the analyzing request terminal 100, the teacher terminal 400, and the responder terminal 500, The analytical request terminal 100, the teacher terminal 400, and the responder terminal 500 may transmit a statistical analysis service application, a program, an application page, a web page, , Statistical analysis service applications, programs, app pages, web pages, etc. for statistical analysis and its teaching use. Also, the service program may be driven in the analysis request terminal 100, the teacher terminal 400, and the responder terminal 500 using a script executed in the web browser. Here, a web browser is a program that enables a WWW (World Wide Web) service, and is a program for receiving and displaying hypertext described in hypertext mark-up language (HTML), for example, Netscape (Netscape) An Explorer, chrome, and the like. Further, the application refers to an application on the terminal, for example, an app (app) running on a mobile terminal (smart phone).

2, the selecting unit 310 may receive the input data corresponding to the survey result or the pre-stored statistical data uploaded from the analysis request terminal 100. FIG. At this time, as described above, the analysis requestor such as a student or a researcher may directly generate a questionnaire and statistically analyze the result of the questionnaire. Alternatively, the analyzer may request the statistical analysis service providing server 300 It is also possible to select a desired statistical analysis tool, select a variable or the like, and quote the result. Accordingly, the analysis requester should select whether to generate the questionnaire himself or use the result, or to process the existing statistical analysis input value (raw data) into a desired analysis type and quote. Therefore, the selection unit 310 confirms which of the two is to be used. In the former case, the following statistical analysis is performed after collecting questionnaire survey data and low data refinement. In the latter case, Statistical analysis is performed by selecting how to process the selected row data below.

The receiving unit 320 may receive at least one analysis method from the input data selected from the analysis request terminal 100, that is, an analysis type for statistical analysis, a variable, and a graph indicating an output method. At this time, the kind of analysis for statistical analysis is at least one or at least one of frequency analysis, crossover analysis, independent sample t-test, variance analysis, descriptive statistics, logistic regression analysis, regression analysis, As shown in FIG. It should be apparent, however, that the present invention is not limited to the above-described types of analysis.

The generating unit 330 may generate a statistical analysis result so that the survey result or the stored statistical data corresponds to the variable and the output method using the statistical analysis algorithm stored in correspondence with the analysis type included in the received analysis method. At this time, the variable can be selected from the list of variables already set in the type of analysis method. Categorical data may include qualitative variables, and continuous data may include quantitative variables.

The report management unit 340 analyzes the statistical analysis result stored in the statistical analysis algorithm stored in correspondence with the analysis type included in the analysis method received by the generation unit 330, The teacher terminal 400 can provide a report upload page generated by the teacher terminal 400 to the analysis request terminal 100 when the teacher terminal 400 requests a statistical analysis result to the analysis request terminal 100. [ In other words, if a teacher makes a statistical citation on a subject or conducts a direct questionnaire and includes it in the report, you can either buy a statistical tool separately or give the result It is true that it is difficult. Accordingly, when a researcher, student, etc. creates a paper, report, report, etc., the tool is provided on the web page without installing the program and uploaded from the page, the teacher collects the result and confirms And allow students to cite or insert statistical results without having to purchase a program that requires expensive licensing.

In addition, when the analysis request terminal 100 generates the statistical analysis result as input data corresponding to the pre-stored statistical data, the report management unit 340 reads the source and comment information of the pre-stored statistical data, Information can be inserted into the statistical analysis result, and when a report including the statistical analysis result is generated in the analysis request terminal 100, the report upload page can be provided to the analysis request terminal 100. Accordingly, when the report is uploaded to the report upload page in the analysis request terminal 100, the report management unit 340 can save the task submission process of the analysis request terminal 100. [

At this time, pre-stored statistical data may be low data for statistical analysis.

Meanwhile, in the uploaded survey result, 999 is inserted in a cell where the survey result is not responded, and in the case of a cell in which the formula exists, the formula can be refilled so that the formula is removed. That is, as described above, in the case of the former, the raw data is not refined and the statistical result may be unclear or may not be calculated accurately. In an embodiment of the present invention, not only does the student collect the results of a direct survey, but also refines it so that the statistical results are accurately derived. At this time, if there are other methods for processing blank cells as well as 999, it will be obvious that the method can be used.

The statistical analysis service providing server 300 can provide a statistical analysis result on the web without downloading and installing the statistical analysis service program in the analysis request terminal 100. [

The surveying unit 350 may request the analysis request from the analysis request terminal 100 before receiving the survey result uploaded from the analysis request terminal 100 or the input data corresponding to the pre- The analysis request terminal 100 may transmit the questionnaire to the analysis request terminal 100. In addition, the questionnaire section 350 may be configured so that when the questionnaire entry is made by one or at least one combination of a single selection type, a plural selection type, a matrix type, a multi-matrix type, a scale type, a priority type, And the response result of the questionnaire can be collected from the responder terminal 500. [

Hereinafter, an operation process according to the configuration of the statistical analysis service providing server of FIG. 2 will be described in detail with reference to FIG. 3 to FIG. 49 as an example. It should be apparent, however, that the embodiments are only examples of the various embodiments of the present invention.

≪ Example 1: Survey >

Referring to FIG. 3, (a) when a menu is selected according to the survey purpose in the teacher terminal 500 or the analysis request terminal 100, and the user selects to register at the bottom of the survey list, the survey registration can be performed. (b) Then, you can input the information for each item on the questionnaire registration screen. You can select a preview of the results of each theme (result design, etc.) using the theme selection and select it.

Referring to FIG. 4, (a) when all the items are inputted, when registration is selected, the survey is registered and the process proceeds to the questionnaire entry step, (b) / Matrix type, scale type, priority type, narrative type, and questionnaire DB. This will be described below.

First, referring to FIG. 5, (a) a single selection type is a question type in which a respondent can select only one view while viewing a question, and a question such as "What is your gender?" It may be a questionnaire to choose. (B) The multiple choice type is an item type in which the respondent can select multiple views during the viewing of the question. For example, when a question about the menu that is frequently used in Eureka is used, It is a questionnaire where you can select one or more answers, such as analyzing my data, a survey, etc., and select multiple options. Unlimited number of choices is an interface that can be used to select views, regardless of their number.

Referring to FIG. 6, (a) a matrix type is a question type used when a plurality of detailed sentences are to be measured on the same scale, and a multi-matrix type is used to measure It is the type used when doing. (b) An example of a matrix item is a method of selecting only one view in a plurality of view information states as shown in (b), and the matrix can be used when description items are required as in other items.

Referring to FIG. 7, (a) a multi-matrix type is a method of selecting only one view among a plurality of pieces of view information, but differs from the matrix type in that there are plural kinds of answers to one detailed question. For example, there are two detailed questions about a single question of foodservice facilities, such as the degree of importance of food facilities and the degree of satisfaction. At this time, the selection of any one of the plurality of examples is the same as that of the matrix type. (b) Scale type is an item type for more precisely measuring the strength of a response, and can be used when it is necessary to grasp the strength of selecting a score of 1 to 7, if it is highly unsatisfactory for a certain service .

Referring to FIG. 8, (a) the priority type is an item type in which the presented view can be selected in priority order, and two kinds of items are selected in order of what purpose of use the service is, This is an item that allows you to know what you have. The number of ranks can be ranked by the number of views. (b) A descriptive form is used when a respondent is free to write an answer and wants to receive a free descriptive response from the respondent.

Referring to FIG. 9, (a) if all of the question items are created with reference to FIG. 3 to FIG. 8, it is a function to load a database as a questionnaire. (b) shows whether each question must be answered, whether it should be answered selectively, whether the conditions between the questions should be set, for example, only 2 respondents who selected question 4 in answer 1 It may be that they move to the survey section.

Referring to FIG. 10, (a) a comment can be given, and a comment is a function for inputting a description and a guideline to describe between items, and an image is a function for inserting an image necessary for a questionnaire. This makes it easier for respondents to understand the content of the questionnaire. (b) The survey management screen provides an interface by which an administrator (student, teacher, researcher, etc.) can modify the survey outline, modify the questionnaire, change the survey status, or analyze the results. At this time, if you can distribute the questionnaire by using the response address, and you can link only, you can distribute it regardless of media such as e-mail, smart terminal, SNS, homepage and copy and register the questionnaire using the copy function have.

Referring to FIG. 11, (a) a question entry can be registered or modified on the questionnaire management screen as described above, a questionnaire can be clicked to print or download the questionnaire, and Or performing statistical analysis, or downloading the status of the respondent. (b) In the questionnaire management screen, when creating a questionnaire, it is possible to edit questionnaires, change the order of items and delete them.

Referring to FIG. 12, (a) can be stored as files of various formats such as Microsoft, Korean, and PDF using a download function, (b) the state of irradiation can be changed, If the period is extended, it can be automatically set to be changed during the investigation.

13, when (a) download is selected, the responder status list can be downloaded to Excel, (b) when the frequency table, the original data, and the codebook are selected, the respective contents are downloaded to a file such as Excel When the statistical analysis is selected, statistical analysis can be performed using the results of the survey, and the contents of the statistical analysis will be described in the second embodiment. And, the graph can be provided as a bar graph and a circle graph, but it will be obvious that it can be added and edited according to the embodiment. Also, when downloading the graph is selected, the graph can be downloaded to the image file.

Referring to FIG. 14, when the menu bar at the upper right of the chart for questionnaire is selected, images can be downloaded in various formats. When the low data is collected by the questionnaire, the analysis result can be obtained using the statistical analysis tool according to the second embodiment, and will be described below.

≪ Second Embodiment: Statistical Analysis >

First, the types of statistical analysis can be as shown in Table 1 below. In this case, it is needless to say that a statistical analysis technique other than those described below can also be used.

Independent variable
(Variable affecting) Dependent variable
(Variable affected) Statistical analysis technique Qualitative variable
(Categorical data)


Frequency analysis: Gender distribution, grade distribution, etc. Qualitative variable Crossover analysis: Gender distribution by grade A quantitative variable
Independent sample t-test (2 independent variables: sex) ANALYSIS OF ANALYSIS (3 or more independent variables: grade) A quantitative variable
(Continuous data)


Qualitative variable Logistic regression analysis A quantitative variable

Corresponding sample t-test: Before-after analysis Correlation analysis (causal relationship between variables) Regression analysis (causal relationship between variables)

15, (a) to prepare the analysis data, a questionnaire and an Excel new file that have been surveyed offline are prepared; (b) the first row contains variable names in the order of the questionnaires; Enter the response content. Needless to say, when the investigation is completed online, it can automatically be exceled. (c) fill non-responsive questions (empty cells) with 999 and store and store raw data with no formula (all functions removed). At this time, it may be refined automatically, empty cells are automatically filled in 999, and all forms or formulas can be removed.

Referring to FIG. 16, (a) a pre-examination file and a post-examination file are prepared, and (b) the same items which are examined in both the pre-examination file and the post-examination file are checked, for example, .

Referring to FIG. 17, (a) if the variable is copied to a new file of Excel to generate pre-post integration data, (b) is also refined and stored.

Referring to FIG. 18, (a) the online statistical analysis method may proceed immediately when the survey is conducted in the first embodiment, and when the statistical analysis is selected in the questionnaire management management of the survey, (b) In Statistical Analysis - Analyze My Data, select the browse window, then select Excel File and select Analysis.

Referring to FIG. 19, (a) frequency analysis is an analysis method for checking the distribution and characteristics of categorical variables. First, a qualitative variable (categorical variable) is selected from the variation list, Select it. (b) And, if you select the result list, you can check the analysis contents. Including the history function, you can download it as an Excel file in addition to checking the frequency analysis results for sex and grade. (c) shows an example of the creation of a frequency analysis table, which shows the respective variables and ratios, and shows the result of the frequency analysis.

Referring to FIG. 20, (a) descriptive statistics can be an analysis that can identify the characteristics of a continuous variable, for example, an average, a standard deviation, or the like. When quantitative variables (continuous variables) are selected in the variable list, analysis can be performed accordingly. (B) The technical data of the selected continuous variable can be checked and the Excel file can be downloaded. (c) In addition, the technical statistical table can be made as shown in (c). It can be seen that the results of the mean and standard deviation of the level of education, Korean language preference, and class satisfaction are output.

Referring to FIG. 21, the crosstalk analysis is an analysis that can confirm the ratio difference of the categorical variable according to the categorical variable, and (a) selects the qualitative variable (categorical variable) from the variable list. At this time, the variable is a variable for which the ratio difference is to be checked. In the case of selecting the qualitative variable, ie, the reference variable, and selecting the analysis button in the variable list, (b) the option of analyzing the result of the crosstab analysis as the actual frequency and the percentage of the row is outputted, , And (c) shows the distribution of the grade according to the adulthood.

Referring to FIG. 22, the independent sample t-test is an analysis that can confirm the average difference between the two groups. (A) a variable to be identified is selected from the variable list, For example, if you select gender, male / female, and then select the Next button, you will use the assumption that homogeneous distribution is assumed to be greater than 0.05 in the homogeneity test of variance, and (c) and The difference in the level of academic achievement according to the same gender will be displayed as a table. At this time, a description of how to interpret the t value and the P-value statistically can also be included.

Referring to FIG. 23, the corresponding sample t-test is a pa- per which can confirm the average difference between the pre-score and the post-score. (A) First, - You can create post-merged data as an Excel file (automatically created or manually operated on-line), and analyze the data by uploading Excel file (automatic upload in the case of online) through the Analyze My Data button. And (b) analyzing the pre- and post-questions by moving them to optional variables.

Referring to FIG. 24, (a) the mean value of the corresponding difference is a value obtained by subtracting the post-survey from the preliminary survey, and when the positive value (+) is derived, the preliminary survey is larger than the post- The case is the case where the preliminary investigation is smaller than the postreduction investigation. (b) When the analysis is completed, as shown in Table 5, the result of the pre-post test for the pleasure of studying Korean is presented, and data on how to analyze the statistics and the meanings of the values are output .

Referring to FIG. 25, the analysis of variance is an analysis method that can confirm an average difference of three or more groups. (A) a user (analysis requester) selects a quantitative variable (continuous variable) In the case of selecting the qualitative variable (categorical variable) with more than 3 groups in the variable list and pressing the analysis button, (b) descriptive statistics, homogeneity test of variance between two variables, Data indicating how to interpret the data can be output together, and a value can be output through the dispersion analysis table as shown in FIG. 26 (a).

Referring to FIG. 26, correlation analysis is an analytical method capable of grasping the direction and strength of relationship between variables. (B) Selecting a quantitative variable (continuous variable) to be correlated in the variable list, As shown in FIG. 27, when the user presses down, the degree of correlation with the correlation coefficient value is displayed numerically and the guidance data is output as shown in FIG. 27, and the correlation analysis table can be output as shown in (b).

Referring to Fig. 28, (a) data conversion shows the results before and after conversion, in which a processing target variable, i.e., a variable to be converted is selected, and a new variable name, i.e., (B) Set up the method of converting the education level data value category. Enter the range of the reference value of the variable, name the value of the new variable, and click the Add button. If you choose, you can select a level.

29, when (a) a user confirms whether a value before conversion is included in all values after conversion, and then selects a process button, a value that is not included in the value of a new variable among values before conversion , A conversion error may occur, so that a guideline for thorough checking can be displayed on the screen. (b) After completing the data conversion, frequency analysis is performed on the newly created variables to confirm that they have been correctly converted.

Referring to FIG. 30, a variable to which a missing value is to be designated is selected. When a missing value is designated, a selection is made to complete the process.

≪ Third Embodiment: Utilizing Classes >

Referring to FIG. 31, a method according to an embodiment of the present invention can provide a menu used by students for classes, and can provide a graph and an analysis screen that visualize survey data and statistical data. Referring to FIG. 32, a method according to an embodiment of the present invention includes creating a class room (page) for a teacher, creating a website, an app site, etc., evaluating the submitted students' do. Referring to FIG. 33, a method according to an embodiment of the present invention can provide available instructional materials for both students and teachers. Referring to FIG. 34, three types of menus may be provided: a student service type, a Eureka inquiry report, a free inquiry report, and an upload task assignment, which will be described below.

Referring to FIG. 35, (a) a student can submit a report on a topic recommended by Eureka and submit it to the teacher's room; (b) when selecting a material to be cited, a) Select the classification information to check the data, then select the data view, and (b) a screen to create a graph and report to quote.

Referring to FIG. 37, (a) the student can submit a report to the teacher's classroom.

Referring to FIG. 38, the student service type is described. As shown in FIG. 39, (a) the student can freely write a report and submit it to the teacher, (b) inquire the numerical value of the statistical data, .

Referring to FIG. 40, (a) a student selects the statistical analysis, a desired variable is selected from the variable list, (b) the analysis result can be confirmed, (a) (B) The teacher can check the report uploaded to the classroom.

As shown in (a) of FIG. 42, the My Work Upload service can be completed by (b) after the student selects the upload, creates the task name, and then clicks Attach and Save File. And (c) submit my assignments to the teacher's classroom.

In the case of the teacher, after signing in as shown in (a) of FIG. 43, (b) a class room is created, and an assignment submitted as shown in FIG. 44 (a) can be confirmed. (B) Can comment. It is also possible to reject the assignment by pressing the REFUSE button as shown in FIG.

Referring to FIG. 46, it is possible to use the provided master data to determine an inquiry topic, to search for data, to verify a hypothesis, or to use a discussion and presentation class. It goes without saying that various methods other than the above-described industrial applicability can also exist.

2 to 46, the method of providing the statistical analysis service for the use of the survey, the statistical analysis and the class teaching of the statistical analysis service of the statistical analysis service for the use of the survey, The description of the providing method is omitted because it can be easily deduced from the same or described contents.

47 is a diagram illustrating a process in which data is transmitted and received between the respective components included in the statistical analysis service providing system for surveying, statistical analysis, and classroom utilization of FIG. 1 according to an embodiment of the present invention. Hereinafter, an example of a process in which data is transmitted and received between the respective components will be described with reference to FIG. 47, but the present invention is not limited to such an embodiment. It is apparent to those skilled in the art that the process of transmitting and receiving data can be changed.

Referring to FIG. 47, the statistical analysis service providing server selects input data corresponding to the uploaded survey result or pre-stored statistical data from the analysis request terminal (S1100).

In addition, the statistical analysis service providing server receives at least one analysis method among analysis types, variables and graphs for statistical analysis from the input data selected from the analysis request terminal (S1200) The statistical analysis results are generated so as to correspond to the variables and the output method of the survey result or pre-stored statistical data by the stored statistical analysis algorithm corresponding to the analysis type (S1300).

The order between the above-described steps S1100 to S1300 is merely an example, but is not limited thereto. That is, the order between the above-described steps S1100 to S1300 may be mutually varied, and some of the steps may be executed or deleted at the same time.

47, the method of providing the statistical analysis service for the questionnaire, the statistical analysis, and the utilization of the statistical analysis service of the statistical analysis service for the utilization of the statistical analysis service, The description of the providing method is omitted because it can be easily deduced from the same or described contents.

The statistical analysis service providing method for questionnaire, statistical analysis, and classroom utilization according to the embodiment described with reference to FIG. 47 may be applied to a record including a command executable by a computer such as an application program module executed by a computer, But may also be implemented in the form of a medium. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer readable medium may include both computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

According to an embodiment of the present invention, there is provided a statistical analysis service providing method for surveying, statistical analysis, and class utilization of statistical analysis services, which comprises: providing an application installed in a terminal (a platform or a program included in an operating system, And may be executed by an application (i.e., a program) installed by the user directly to the master terminal through an application providing server such as an application store server, an application, or a web server associated with the service. In this sense, the statistical analysis service providing method for surveying, statistical analysis, and class utilization of the surveying method according to an embodiment of the present invention is basically installed in a terminal or implemented as an application (i.e., a program) directly installed by a user And recorded on a computer-readable recording medium, such as a terminal.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

Claims (7)

A statistical analysis service providing method executed by a statistical analysis service providing server,
Selecting input data corresponding to the uploaded survey result or pre-stored statistical data from the analysis request terminal;
Receiving at least one analysis method from among the selected input data from the analysis request terminal, the analysis type, the variable and the output method graph for statistical analysis;
Generating a statistical analysis result corresponding to the variable and the output method by using the statistical analysis algorithm stored in correspondence with the analysis type included in the received analysis method;
Providing a report upload page generated by the teacher terminal to the analysis request terminal when the teacher terminal requests the statistical analysis result to the analysis request terminal;
Reading the source of the statistical data and the annotation information when the analysis request terminal generates the statistical analysis result as input data corresponding to the pre-stored statistical data;
Inserting the source and annotation information into the statistical analysis result;
Providing a report upload page to the analysis request terminal when the analysis request terminal generates a report including the statistical analysis result; And
Storing the assignment submission process of the analysis request terminal when the analysis request terminal uploads the report to the report upload page;
Lt; / RTI >
Wherein the statistical analysis service providing server provides the statistical analysis result on the web without downloading and installing the statistical analysis service program from the analysis request terminal, and provides a statistical analysis service for surveying, statistical analysis and utilization of the lesson Way.
delete The method according to claim 1,
Wherein the pre-stored statistical data is low-level data for statistical analysis, a statistical analysis service providing method for surveying, statistical analysis, and utilization of the lesson.
The method according to claim 1,
The type of analysis for statistical analysis may be at least one or at least one of frequency analysis, crossover analysis, independent sample t-test, variance analysis, descriptive statistics, logistic regression analysis, regression analysis, A method of providing statistical analysis services for surveys, statistical analysis, and the use of the lessons thereof, including combinations thereof.
The method according to claim 1,
The uploaded questionnaire result includes a questionnaire, a statistical analysis, and a questionnaire, in which 999 is inserted into a cell in which the questionnaire result is not responded, and in the case of a cell in which the formula exists, A Method of Providing Statistical Analysis Services for Using Its Classes.
delete The method according to claim 1,
Before the step of selecting the input data corresponding to the survey result or the pre-stored statistical data uploaded from the analysis request terminal,
Transmitting a questionnaire form to the analysis request terminal when the questionnaire registration is selected from the analysis request terminal;
If the questionnaire entry is made up of at least one of a single selection type, a plural selection type, a matrix type, a multi-matrix type, a scale type, a priority type and a description type, a questionnaire is generated based on the created question item ;
Collecting a response result of the questionnaire from the respondent terminal;
A method for providing a statistical analysis service for surveying, statistical analysis and utilization of the lesson.

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