CN115274113A - Evaluation system based on psychological assessment scale scoring algorithm - Google Patents
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Abstract
The invention relates to the technical field of psychological assessment, in particular to an assessment system based on a psychological assessment scale scoring algorithm, which comprises an account management module, an assessment report module and a database, wherein the assessment system can log in an account number to enter the system for assessment by setting the account management module, the assessment report module and the database, is convenient and quick, can provide functions of personal information filling and assessment type selection for a user, provides corresponding assessment test questions for the user through an assessment question management unit after the user submits the options, and can effectively reduce psychological precaution of the user by selecting the thinking leap of the test questions, improve the test interest of the user and enable the test to be more easily accepted by the user; the user can know the deep psychological state through question answering and test question answering, so that the quick and efficient evaluation can be realized, and the evaluation accuracy is high.
Description
Technical Field
The invention relates to the technical field of psychological assessment, in particular to an assessment system based on a scoring algorithm of a psychological assessment scale.
Background
Because the development of modern society is fast, the increasing social competition pressure makes more and more people start to have psychological problems such as emotion, behavior and the like.
The psychological problems of people caused by various factors are solved, and the way of providing the mental health service work for people and improving the mental health work result is the direction needing to be researched.
Psychological assessment is an advanced test method, which refers to a scientific measurement method for measuring individual psychological factor level and individual psychological difference by quantifying certain psychological characteristics of people through a series of means. The method is divided into a plurality of categories according to the content, object characteristics, expression form, purpose, time and requirements of evaluation. The method is mainly a means for selecting talents, arranging posts, diagnosing, evaluating and assisting consultation of a person by organs, enterprises, organizations and the like, and comprises capability test, personality test, interest test and the like.
Because the traditional psychological assessment tool has the defects of large number of questions, time and labor waste, high surface effect, assessment errors caused by fatigue and disguise of testees and the like, the psychological health condition screening and assessment is difficult to popularize and apply on a large scale.
Disclosure of Invention
In view of this, the invention provides an evaluation system based on a scoring algorithm of a psychological evaluation scale, which not only can realize quick and efficient evaluation, but also has high evaluation accuracy, is convenient for viewing and analyzing evaluation reports, and has strong popularization.
In order to solve the technical problem, the invention provides an evaluation system based on a mental evaluation scale scoring algorithm, which comprises an account management module, an evaluation report module and a database, wherein the account management module is used for managing the evaluation of a user;
the account management module is suitable for managing account information for logging in the evaluation system;
the evaluation management module is suitable for managing evaluation information;
the evaluation report module is suitable for collecting evaluation information reports;
the database is used for storing the data of the evaluation system.
Furthermore, the evaluation management module comprises a basic information management unit, an evaluation test question management unit, an evaluation result analysis unit and a psychological evaluation unit.
Further, the basic information management unit includes personal information synchronization and evaluation type management, wherein,
the personal information synchronization function module is suitable for synchronizing the personal information filled by the user, accurately tracks the personal condition for real-time, and ensures the accuracy of subsequent evaluation;
the evaluation type management function module is suitable for uniformly managing psychological evaluation types in the evaluation system, and adding or deleting the evaluation types according to the user requirements.
Furthermore, the examination question management unit comprises the management of selection examination questions, the management of question and answer examination questions and the management of examination papers, wherein,
the forms of the test questions evaluated by the test question management function module are all selection questions which can be single selection questions or multiple selection questions;
the question-answer management function module is used for evaluating the question in a form of question-answer, and different question answers are designed according to the evaluation types of the question-answer;
the form of the test questions is the combination of the selection questions and the question answers.
Furthermore, the evaluation result analysis unit comprises a single result, system comprehensive analysis and analysis opinion filling, and is suitable for analyzing the psychological evaluation result of the user.
Furthermore, the psychological evaluation unit comprises evaluation item selection, evaluation test question calling, evaluation result analysis and evaluation result processing.
Further, the analysis of the evaluation result comprises the steps of obtaining an initial data set, preprocessing the data, mining the data set to be mined, mining the data by a decision tree, mining a structure and extracting a plan.
Further, the evaluation report module is used for managing individual evaluation reports and group evaluation reports.
Further, the individual evaluation report and the group evaluation report comprise searching, deleting and viewing functions.
Further, the account management module includes account information of a person logging in the system, the account information includes account information setting and account information content, the account information setting includes adding, modifying and deleting, and the account information content includes a user name and a password.
The technical scheme of the invention has the following beneficial effects:
1. according to the invention, by arranging the account management module, the evaluation report module and the database, an account can be logged in to enter a system for evaluation during evaluation, the evaluation is convenient and fast, functions of personal information filling and evaluation type selection can be provided for a user, corresponding evaluation test questions are provided for the user through the evaluation test question management unit after the user submits the options, the test questions are divided into three types of selection, question answering and paper grouping, the psychological precaution of the user can be effectively reduced through the thinking jumping property of the selected test questions, the test interest of the user is improved, and the test is more easily accepted by the user; the user can know the deep psychological state through question answering and test question answering, so that the quick and efficient evaluation can be realized, and the evaluation accuracy is high.
2. According to the invention, through arranging the evaluation report module, after the user selects the evaluation item, the system provides the corresponding test question for the user, and gives the evaluation result and corresponding processing after the user finishes answering, and the test question result submitted after answering obtains corresponding detailed single-item or multi-item analysis in the evaluation result analysis module, so that the opinion feedback information of the user on the evaluation result is effectively and timely obtained.
Drawings
FIG. 1 is a schematic block diagram of a system of the present invention;
FIG. 2 is a schematic diagram of an evaluation management module according to the present invention;
FIG. 3 is a schematic diagram of an evaluation reporting module according to the present invention;
FIG. 4 is a schematic diagram of an account management module according to the present invention;
FIG. 5 is a diagram of a basic information management unit according to the present invention;
FIG. 6 is a schematic diagram of an evaluation test question management unit according to the present invention;
FIG. 7 is a schematic view of an evaluation result analysis unit according to the present invention;
FIG. 8 is a schematic diagram of a psychological assessment unit according to the present invention;
FIG. 9 is a flowchart of mining psychological evaluation data for analyzing evaluation results according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to fig. 1 to 8 of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention, are within the scope of the invention.
Psychological assessment is an advanced test method, which refers to a scientific measurement method for measuring individual psychological factor level and individual psychological difference by quantifying certain psychological characteristics of people through a series of means. The method is divided into a plurality of categories according to the content, object characteristics, expression form, purpose, time and requirements of evaluation. The method is mainly a means for selecting talents, arranging posts, diagnosing, evaluating and assisting consulting a person by organs, enterprises, organizations and the like, and comprises capability test, personality test, interest test and the like.
The psychological assessment scale is called psychological measurement, and means that a numerical quantification value is determined according to a certain psychological theory and by using a certain operation program according to psychological characteristics and behaviors such as the ability, personality, psychological health and the like of people. The psychological measurement at the present stage takes psychological scale evaluation as a main evaluation means. The psychological assessment is to measure, analyze and evaluate the specific quality of the human body by scientific, objective and standard measuring means.
Because the traditional psychological assessment tool has the defects of large number of questions, time and labor waste, high surface effect, assessment errors caused by fatigue and disguise of testees and the like, the psychological health condition screening and assessment are difficult to popularize and apply on a large scale.
As shown in fig. 1-8: an evaluation system based on a psychological evaluation scale scoring algorithm comprises an account management module, an evaluation report module and a database, wherein,
the account management module comprises account information of a person logging in the system, the account information comprises account information setting and account information content, the account information setting comprises adding, modifying and deleting, and the account information content comprises a user name and a password.
The system comprises an evaluation management module, a basic information management unit, an evaluation test question management unit, an evaluation result analysis unit and a psychological evaluation unit, wherein the basic information management unit provides functions of personal information filling and evaluation type selection for a user, provides corresponding evaluation test questions for the user through the evaluation test question management unit after the user submits the options, the test questions are divided into three types of selection, question answering and paper grouping, the system provides corresponding test questions for the user after the user selects an evaluation item, gives evaluation results and corresponding processing after the user finishes answering, and the test question results submitted after answering acquire corresponding detailed single item or multiple items of analysis through the evaluation result analysis unit.
Specifically, the basic information management unit comprises personal information synchronization and evaluation type management, the personal information synchronization function module can synchronize personal information filled by a user, accurately track the real-time personal condition of the user, ensure the accuracy of subsequent evaluation of the text system, and the evaluation type management can uniformly manage all the evaluation types of mental health, emotional behaviors, interpersonal communication and the like in the evaluation system and add or delete the evaluation types according to the requirements of the user. In the using process, the user has the advantages of multi-type selection, high universality and powerful integral functions of the system, and can be widely applied to crowds.
The test question management unit comprises selection test question management, question answering test question management and test question grouping management, wherein the selection test question management function module is used for selecting test questions, and can be a single-item test question or a plurality of option questions; the question-answer management function module is used for evaluating the question in a form of question-answer, and different question answers are designed according to the evaluation types of the question-answer; the form of the test questions is the combination of the selected questions and the question and answer questions. The psychological precaution of the user can be effectively reduced by selecting the thinking leap of the test question, the test interest of the user is improved, and the test is easier to accept; the user can know the deep psychological state through question and answer questions.
The evaluation result analysis unit comprises a single result, system comprehensive analysis and analysis opinion filling, and is responsible for counting and analyzing the psychological evaluation result of the user, finding the problem of the user psychology at the first time and mastering the psychological condition of the user, so as to provide help for the user. The module can provide the analysis result of single evaluation for the user, also can provide the comprehensive analysis result of multiple evaluations for the user, and provide the function of filling in the analysis opinions for the user, and effectively and timely obtain the opinion feedback information of the user on the evaluation result.
The psychological evaluation unit comprises evaluation item selection, evaluation test question calling, evaluation result analysis and evaluation result processing, wherein the evaluation item selection part provides all evaluation items of the text system for a user, the user can select the evaluation items according to the requirements of the user, the evaluation test question calling function can call the corresponding evaluation test questions according to the evaluation items selected by the user for the user to evaluate, automatically stores answer results of the user, gives corresponding scores, and finally processes the evaluation results of the user through the evaluation result processing function and feeds back the processing results.
The evaluation report module is used for managing individual evaluation reports and group evaluation reports, and the individual evaluation reports and the group evaluation reports respectively comprise searching, deleting and checking functions, so that follow-up reference and analysis are facilitated.
In one embodiment of the invention, as shown in fig. 9, the analysis of the evaluation result includes obtaining an initial data set, preprocessing data, mining data set to be mined, mining data, mining structure, and extracting a plan.
The decision tree algorithm is an inductive learning algorithm, and is a classification rule obtained by inducing a disordered instance set on the basis of instances, and the rule is represented by a tree structure. The decision tree mainly comprises two steps when processing the classification problem: firstly, generating a decision tree classification model through a learning training set; the second is to classify samples of unknown type by the model. In the process of classifying a certain type of sample, a root node is taken as a starting point, a certain leaf node is taken as an end point, and the sample attribute is gradually tested in a branch-down direction. The invention applies the C4.5 decision tree algorithm, the splitting index is the information gain rate, and the problem of multiple attributes of the bias selection value when the information gain is applied to select the test attribute is solved. The information gain rate is defined by the formula:
in the formula: gain (S, A) is the information Gain of the attribute A; splittinformation (S, a) is the extent and uniformity of splitting the sample set S according to the attribute a.
Data of the mental health assessment are classified through a decision tree C4.5 algorithm, and data support is provided for the method.
The determination of the split target is the most important in the generation process of the decision tree. In order to determine the splitting index in the C4.5 algorithm, the sizes of the attribute information gain rates in each training sample data need to be compared, and an attribute with the largest information gain rate and higher than or equal to the average value of all attributes is selected as a certain branch node of the decision tree. For the continuous descriptive attributes, the continuity needs to be divided to obtain a discrete interval set. The discretization method comprises the following steps:
1) And discretizing the continuity attribute A of the values of the continuous interval. And arranging the samples of the training set S according to the sequence from small to large of the numerical values of the continuity attributes, and respectively assigning the minimum value and the maximum value in the interval to MIN and MAX to obtain a value sequence of the attribute values, namely { A1, A2, \8230;, an }.
2) If Ai is taken as an equal division point, if N equal division points exist in the interval [ MIN, MAX ], calculating in sequence to obtain the ith equal division point formula as follows:
where i =1,2, \8230;, N.
3) The information gain values in the interval values [ MIN, ai ], [ Ai, MAX ] are respectively calculated, N-1 division points are shared, and the division points are compared.
4) And setting the division threshold value of the continuity attribute A as a division point with the maximum information gain ratio Ak, dividing the data set on the basis of the division threshold value, and setting attribute values in [ MIN, ak ] and [ Ak, MAX ]. And solving the information gain rates of all the attributes in the candidate attribute set according to the discretization method, wherein the test attribute is the attribute with the largest information gain rate. And dividing the samples by applying all possible values in the sample set to obtain a plurality of sub-sample sets, continuously dividing all the sub-sample sets by using the same method until the sub-sample sets cannot be divided, and generating a decision tree. When the decision tree is generated by applying the C4.5 algorithm, the selected target class influences the determination of each class. Information entropy is required to be utilized when evaluating the decision tree to obtain:
the information gain is an effective reduction in the information entropy. The variable hierarchy used for classification can be determined according to the information entropy. If the training set S has two classes, class A and class B, and the two classes respectively include x and y records respectively belonging to class A and class B, the formula of the total information amount of the class to which a record in the training set S belongs is determined as follows:
let the variable C be the root node of the decision tree, and the subclass of the obtained partition training set S is { S1, S2, \ 8230;, sk }, then S (i =1,2, \ 8230;, k) includes xi and yi records respectively belonging to class a and class B. Obtaining the information quantity formulas classified in all the subclasses:
and if the variable C is a classification node of the decision tree, the information increment value is the maximum of all the variable information increment values. The information increment formula of the variable C is:
Gain ( C ) = Info ( S ) - Info ( A, S ) （7）
the information gain function is defined as:
Gain ( D, S ) = Info ( S ) - Info ( D, S ) （8）
through the algorithm, the accuracy of psychological assessment can be improved.
The use method of the invention comprises the following steps: the method comprises the steps of entering a system login interface, inputting an account and a password, entering a psychological evaluation system, enabling an operator to uniformly manage administrator accounts through a unit management unit in a unit management module, simultaneously enabling the accounts to be newly added, modified and deleted, enabling the operator to select an evaluation type, selecting an evaluation type through an evaluation test management unit, after evaluation response is finished, analyzing evaluation results through a psychological evaluation unit, and checking evaluation reports through an evaluation reporting module after evaluation is finished.
In the present invention, unless otherwise explicitly specified or limited, for example, it may be fixedly attached, detachably attached, or integrated; can be mechanically or electrically connected; the terms may be directly connected or indirectly connected through an intermediate, and may be communication between two elements or interaction relationship between two elements, unless otherwise specifically limited, and the specific meaning of the terms in the present invention will be understood by those skilled in the art according to specific situations.
The foregoing is a preferred embodiment of the present invention, and it should be noted that modifications and embellishments can be made by those skilled in the art without departing from the principle of the present invention, and should be considered as the scope of the present invention.
Claims (10)
1. An evaluation system based on a psychological evaluation scale scoring algorithm is characterized in that: the system comprises an account management module, an evaluation report module and a database;
the account management module is suitable for managing account information for logging in the evaluation system;
the evaluation management module is suitable for managing evaluation information;
the evaluation report module is suitable for collecting evaluation information reports;
the database is used for storing the data of the evaluation system.
2. A system according to claim 1, wherein the mental scale scoring algorithm is based on a scoring system comprising: the evaluation management module comprises a basic information management unit, an evaluation test question management unit, an evaluation result analysis unit and a psychological evaluation unit.
3. A system according to claim 2, wherein the system comprises: the basic information management unit includes personal information synchronization and evaluation type management, wherein,
the personal information synchronization function module is suitable for synchronizing the personal information filled by the user, accurately tracks the personal condition for real-time and ensures the accuracy of subsequent evaluation;
the evaluation type management function module is suitable for uniformly managing psychological evaluation types in the evaluation system, and adding or deleting the evaluation types according to the user requirements.
4. A system according to claim 2, wherein the system comprises: the test question management unit comprises selected test question management, question and answer test question management and test question and paper combination management, wherein,
the form of the test questions to be evaluated by the test question management function module is all selection questions, which can be single selection questions or multiple selection questions;
the question-answer management function module is used for evaluating the question in a form of question-answer, and different question answers are designed according to the evaluation types of the question-answer;
the form of the test questions is the combination of the selection questions and the question answers.
5. A system according to claim 2, wherein the mental scale scoring algorithm is based on a scoring system comprising: the evaluation result analysis unit comprises a single result, system comprehensive analysis and analysis opinion filling, and is suitable for analyzing the psychological evaluation result of the user.
6. A system according to claim 2, wherein the mental scale scoring algorithm is based on a scoring system comprising: the psychological evaluation unit comprises evaluation item selection, evaluation test question calling, evaluation result analysis and evaluation result processing.
7. The system of claim 6, wherein the mental metric scoring algorithm comprises: the evaluation result analysis comprises the steps of obtaining an initial data set, preprocessing data, processing a data set to be mined, mining the data, mining data of a decision tree, mining a structure and extracting a plan.
8. A system according to claim 1, wherein the mental scale scoring algorithm is based on a scoring system comprising: the evaluation report module is used for managing individual evaluation reports and group evaluation reports.
9. A system according to claim 8, wherein the mental scale scoring algorithm is based on a scoring system comprising: the individual evaluation report and the group evaluation report comprise searching, deleting and viewing functions.
10. The system of claim 1, wherein the mental metric scoring algorithm comprises: the account management module comprises account information of system login personnel, the account information comprises account information setting and account information content, the account information setting comprises adding, modifying and deleting, and the account information content comprises a user name and a password.
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| CN117352114A (en) * | 2023-10-16 | 2024-01-05 | 北京心企领航科技有限公司 | Recommendation method and system of psychological assessment scale based on clustering algorithm |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117352114A (en) * | 2023-10-16 | 2024-01-05 | 北京心企领航科技有限公司 | Recommendation method and system of psychological assessment scale based on clustering algorithm |
| CN117352114B (en) * | 2023-10-16 | 2024-04-09 | 北京心企领航科技有限公司 | Recommendation method and system of psychological assessment scale based on clustering algorithm |
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