CN115966274A - Method and device for screening questionnaire questions, electronic equipment and storage medium - Google Patents
Method and device for screening questionnaire questions, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention relates to a financial data processing technology, and discloses a questionnaire question screening method, which comprises the following steps: obtaining a test questionnaire sample, and performing data screening on questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions; calculating the correlation coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users; calculating the discrimination coefficient of the questionnaire questions according to questionnaire questions corresponding to the questionnaire users; calculating the score of the questionnaire questions according to the correlation coefficient and the discrimination coefficient; and sequencing the questionnaire questions according to the dimensionality of the questionnaire questions and the scores of the questionnaire questions to obtain a carefully chosen question set. The invention also provides a device for screening the questionnaire questions, electronic equipment and a storage medium. The invention can improve the efficiency and accuracy of questionnaire question screening.
Description
Technical Field
The invention relates to the technical field of financial data processing, in particular to a method and a device for screening questionnaire questions, electronic equipment and a computer-readable storage medium.
Background
In the financial field, enterprises often have multiple services at the same time, and the service development is adjusted in real time according to service data. The service progress is updated through user data feedback, and the development of the service is better fit. The electronic questionnaire is a tool for collecting data on line and is used for scenes such as satisfaction survey, opinion feedback collection, evaluation, examination and the like. The electronic questionnaire is wide in people, simple and easy to operate, and the questionnaire can be issued to the people by an investigator only by creating a questionnaire link, and meanwhile, the real-time filling and recovery of the answer sheet can be realized, and the answer sheet result is convenient for statistical processing and analysis. Furthermore, it is very important to generate a questionnaire that meets business requirements and can fully acquire user data according to a financial business scenario.
The seven-dimensional health assessment questionnaire is in a questionnaire form for assessing the health of a client around seven major dimensions of body, emotion, social, mental, cognition, occupation and economy, and a comprehensive client portrait can be generated based on the survey results of the questionnaire so as to create a special service scheme for the client. However, in the design of questionnaires, if too many questionnaire questions are set, the answer enthusiasm of customers is reduced, so that the customers do not answer or do not want to answer, and the like, and the customer primary portrait cannot be accurately depicted and personalized service customization cannot be realized while poor user experience is caused, and subsequent processes are influenced.
In the prior art, a common method for how to screen questionnaire questions and efficiently obtain a preliminary client portrait is to invite multiple experts to discuss and screen the questionnaire questions together through an expert consultation method, but if the questionnaire questions are multiple and the coverage field is wide, more resources are consumed for evaluation and screening through the experts in different fields, and in addition, the method is greatly influenced by human subjective factors, so that the results of questionnaire question screening are not accurate enough.
In conclusion, the existing method for screening the questionnaire questions has the problems of low efficiency and accuracy.
Disclosure of Invention
The invention provides a method and a device for screening questionnaire questions, electronic equipment and a computer-readable storage medium, and mainly aims to solve the problems of low efficiency and accuracy in screening questionnaire questions.
In order to achieve the above object, the method for screening questionnaire questions provided by the present invention comprises:
obtaining a test questionnaire sample, and performing data screening on questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions;
calculating the correlation coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
calculating the discrimination coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
calculating the score of the questionnaire questions according to the correlation coefficient and the discrimination coefficient;
and sequencing the questionnaire questions according to the dimensionality of the questionnaire questions and the scores of the questionnaire questions to obtain a carefully chosen question set.
Optionally, the calculating a correlation coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users includes:
selecting two questionnaire questions from the questionnaire questions one by one as comparison questionnaire questions, and generating corresponding category combinations according to options of the comparison questionnaire questions;
carrying out chi-square statistical calculation according to the actual value of the category combination and the preset expected value of the category combination to obtain chi-square statistic;
and calculating according to the chi-square statistic and the questionnaire questions to obtain the correlation coefficient of the questionnaire questions to be compared.
Optionally, performing chi-square statistical calculation according to the actual value of the category combination and a preset expected value of the category combination to obtain chi-square statistical quantity; calculating according to the chi-square statistic and the questionnaire questions to obtain the correlation coefficient of the questionnaire questions, wherein the calculation comprises the following steps:
chi-square statistical calculations were performed using the following formula:
wherein, χ 2 Expressed as chi-square statistic, f o Expressed as the actual value of the combination of classes, f e A preset expectation value expressed as a combination of categories;
the correlation coefficient is calculated using the following equation:
wherein phi ij Expressed as the correlation coefficient, χ, of the ith questionnaire subject and the jth questionnaire subject in the contrast questionnaire subjects 2 The statistics is expressed as chi-square statistics, N is expressed as the number of questionnaire users, and k is expressed as the number of the least options in the comparison questionnaire questions.
Optionally, the calculating a discrimination coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users includes:
assigning values to the questionnaire questions to obtain questionnaire question scores corresponding to each questionnaire question of the questionnaire users;
dividing the questionnaire questions according to preset dimensions of the questionnaire questions to obtain questionnaire question sets corresponding to multiple dimensions;
selecting target dimensions and corresponding target questionnaire questions from questionnaire question sets corresponding to the dimensions one by one;
sorting target questionnaire questions corresponding to the questionnaire users according to the questionnaire question scores to obtain score sets corresponding to the target questionnaire questions;
and dividing the score set into a high group and a low group according to a preset division standard, and calculating the high group and the low group by using a t test formula to obtain a discrimination coefficient corresponding to the target questionnaire questions.
Optionally, the calculating the score of the questionnaire topic according to the relevance coefficient and the discrimination coefficient includes:
calculating the score of the questionnaire questions according to the correlation coefficient and the discrimination coefficient by using the following formula:
wherein, gamma is i Expressed as the score, phi, of the ith question of the questionnaire ij Expressed as the correlation coefficient, t, of the ith and jth questionnaire subjects i Is expressed as the discrimination coefficient corresponding to the ith questionnaire subject, t j Expressed as the discrimination coefficient corresponding to the jth question.
Optionally, the sorting the questionnaire questions according to the dimensions of the questionnaire questions and the scores of the questionnaire questions to obtain a carefully chosen question set, includes:
dividing the questionnaire questions according to the dimensionalities of the questionnaire questions to obtain questionnaire question sets corresponding to multiple dimensionalities;
performing score size arrangement on the questionnaire questions in the questionnaire question sets corresponding to the dimensions by using the scores of the questionnaire questions to obtain updated questionnaire question sets corresponding to the dimensions;
calculating according to a preset first formula and the number of preset dimension selection questions to obtain the number of first selection questions corresponding to each dimension;
extracting dimension selection questionnaire questions from the updated questionnaire question set corresponding to each dimension according to the number of the first selection questions;
and summarizing the dimensionality selection questionnaire questions corresponding to all the dimensionalities to obtain the selection question set.
Optionally, the data screening of the questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions includes:
extracting questions of the test questionnaire sample and questionnaire users to obtain questionnaire users and corresponding test questionnaire questions;
performing repeated value elimination and missing value elimination on the test questionnaire questions to obtain first questionnaire questions;
and carrying out standardized screening on the first questionnaire questions by using preset screening rules to obtain the questionnaire questions.
In order to solve the above problem, the present invention further provides a questionnaire topic screening device, which includes:
the test questionnaire sample screening module is used for obtaining a test questionnaire sample and carrying out data screening on questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions;
the correlation coefficient calculation module is used for calculating the correlation coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
the distinguishing coefficient calculation module is used for calculating the distinguishing coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
the questionnaire subject score calculation module is used for calculating the score of the questionnaire subject according to the correlation coefficient and the discrimination coefficient;
and the selection topic set generating module is used for sequencing the questionnaire topics according to the dimensionality of the questionnaire topics and the scores of the questionnaire topics to obtain a selection topic set.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of questionnaire topic screening described above.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, in which at least one computer program is stored, where the at least one computer program is executed by a processor in an electronic device to implement the method for questionnaire topic screening described above.
According to the embodiment of the invention, by screening the test questionnaire samples, invalid questionnaire question data can be removed, the standardization of questionnaire questions is realized, and the efficiency of questionnaire question screening is improved; by calculating the correlation coefficient of the questionnaire questions, the diversity of the questionnaire questions can be expanded; the evaluation on the question quality can be realized by calculating the discrimination coefficient of the questionnaire questions, so that the quality of the questionnaire questions is improved; the score of the questionnaire questions is calculated by combining the correlation coefficient and the discriminative coefficient, so that the accuracy of generating the screening questions according to the score and the dimensionality of the questionnaire questions can be improved, the questions under different question dimensionalities are reasonable in structure, and the questions are more balanced. Therefore, the questionnaire question screening method, the questionnaire question screening device, the electronic equipment and the computer-readable storage medium provided by the invention can solve the problem that the questionnaire question screening efficiency and accuracy are low.
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Fig. 1 is a schematic flow chart of a method for screening questionnaire questions provided in an embodiment of the present invention;
fig. 2 is a schematic flowchart of a process of calculating a correlation coefficient of a questionnaire question according to the questionnaire question corresponding to the questionnaire user according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of a process of calculating a discrimination coefficient of a questionnaire question according to the questionnaire question corresponding to the questionnaire user according to an embodiment of the present invention;
FIG. 4 is a functional block diagram of an apparatus for questionnaire topic screening according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for implementing the method for screening questionnaire questions provided in an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the application provides a method for screening questionnaire questions. The execution subject of the method for screening questionnaire topics includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for screening questionnaire topics may be executed by software or hardware installed in a terminal device or a server device, where the software may be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, web service, cloud communication, middleware service, domain name service, security service, content Delivery Network (CDN), and a big data and artificial intelligence platform.
Fig. 1 is a schematic flow chart of a method for screening questionnaire questions provided in an embodiment of the present invention. In this embodiment, the method for screening questionnaire questions includes:
s1, obtaining a test questionnaire sample, and performing data screening on questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions.
In the embodiment of the invention, the test questionnaire samples are questionnaires collected from users according to different collection requirements on lines in different financial business scenes, and usually exist in a document or list form; according to the difference of users, the users fill in different questionnaire questions, and the test questionnaire has difference based on the difference of the users, so that the diversity of the test questionnaire is improved.
In the embodiment of the invention, by carrying out data screening on the questions of the test questionnaire, invalid questionnaire question data with too many missing values, self-contradictory options and non-compliance can be removed, thereby realizing the standardization of questionnaire questions and improving the efficiency of questionnaire question screening.
In the embodiment of the invention, the test questionnaire sample is composed of a plurality of questionnaire users and test questionnaires filled in by the questionnaire users, the test questionnaires can be composed of questionnaire questions with a plurality of dimensions, such as seven-dimensional assessment around body, emotion, social contact, spirit, cognition, occupation and economy, and the multidimensional investigation of the users and the multidimensional assessment of financial products corresponding to the questionnaires can be realized by filling in the multidimensional questionnaire questions by the users.
In the embodiment of the present invention, the data screening of the questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions includes:
extracting questions of the test questionnaire sample and questionnaire users to obtain questionnaire users and corresponding test questionnaire questions;
performing repeated value elimination and missing value elimination on the test questionnaire questions to obtain first questionnaire questions;
and carrying out standardized screening on the first questionnaire questions by using preset screening rules to obtain the questionnaire questions.
In the embodiment of the invention, repeated value elimination can remove repeated options and questions in the questionnaire questions, and missing value elimination can remove vacant choices and questions in the questionnaire questions, so that the efficiency of subsequent questionnaire question screening is improved; the screening rules may be based on financial business rules and the identity of the user. For example, questionnaire questions which do not belong to the financial business category or are filled in when the user identity is in risk, blacklist or the like can be deleted, so that the usability of questionnaire data is improved.
And S2, calculating the correlation coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users.
Referring to fig. 2, in an embodiment of the present invention, the calculating a correlation coefficient of a questionnaire topic according to the questionnaire topic corresponding to the questionnaire user includes:
s21, selecting two questionnaire questions from the questionnaire questions one by one to serve as contrast questionnaire questions, and generating corresponding category combinations according to options of the contrast questionnaire questions;
s22, carrying out chi-square statistical calculation according to the actual value of the category combination and the preset expected value of the category combination to obtain chi-square statistic;
s23, calculating according to the chi-square statistic and the questionnaire questions to obtain the correlation coefficient of the questionnaire questions to be compared.
Specifically, in the embodiment of the present invention, chi-square statistic calculation may be performed by using the following formula:
wherein, χ 2 Expressed as chi-squared statistic, f o Expressed as the actual value of the combination of classes, f e Expressed as preset expectation values for the combination of categories.
Further, in the embodiment of the present invention, a Cram er's V method may be used to calculate the correlation coefficient, which is specifically shown as follows:
wherein phi ij Expressed as the correlation coefficient, χ, of the ith and jth questionnaire questions in the contrast questionnaire questions 2 Expressed as chi-square statistic, N expressed as the number of questionnaire users, and k expressed as the minimum number of options in the questionnaire questions.
In the embodiment of the invention, the category combination can be an option selection combination of different questionnaire questions by the same questionnaire user, and the different questionnaire users can be further arranged and combined to obtain a plurality of category combinations; the actual value of the category combination may be the number of times that the questionnaire user selects the option, and the preset expected value of the corresponding category combination may be the number of times that the questionnaire user desires to select the option.
In the embodiment of the invention, the value range of the correlation coefficient is 0 to 1,0 represents that two questionnaire subjects are unrelated, 1 represents that the two questionnaire subjects are completely related, and usually more than 0.6 can be regarded as that the two questionnaire subjects are related.
And S3, calculating the discrimination coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users.
Referring to fig. 3, in the embodiment of the present invention, the calculating a distinguishing coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users includes:
s31, assigning values to the questionnaire questions to obtain questionnaire question scores corresponding to each questionnaire question of the questionnaire users;
s32, dividing the questionnaire questions according to preset dimensions of the questionnaire questions to obtain questionnaire question sets corresponding to multiple dimensions;
s33, selecting target dimensions and corresponding target questionnaire questions from questionnaire questions sets corresponding to the dimensions one by one;
s34, sequencing the target questionnaire questions corresponding to the questionnaire users according to the questionnaire question scores to obtain a score set corresponding to the target questionnaire questions;
s35, dividing the score set into a high group and a low group according to a preset dividing standard, and calculating the high group and the low group by using a t test formula to obtain a discrimination coefficient corresponding to the target questionnaire questions.
Further, in the embodiment of the present invention, the calculating the high group and the low group by using a t-test formula to obtain the discrimination coefficient corresponding to the target questionnaire topic includes:
the t-test formula is expressed as:
wherein t is a discrimination coefficient corresponding to the target questionnaire topic,
mean of scores, expressed as said high packet, based on a number of said high packets>
Expressed as a fractional mean of the low packets; n is 1 Expressed as the number of questionnaire users contained in said high packet, n 2 Represents the number of questionnaire users contained in the high packet, and ` er `>
A fractional variance, expressed as the high packet, <' > or>
Expressed as the fractional variance of the low packet.
In the embodiment of the invention, because the contents of the options of the questionnaire questions can mostly realize the sequential ordering of importance, health and the like from top to bottom, the questionnaire questions can be assigned according to the options of the questionnaire questions, for example, the questionnaire questions comprise five options, and the five options can be assigned as 0,1,3,5 and 7 from high to low, so that the quantification of the questionnaire questions is realized.
In the embodiment of the invention, the test questionnaire can be composed of questionnaire questions with multiple dimensions, for example, seven dimensions including physical, emotional, social, mental, cognitive, professional and economic dimensions are used, so that the questionnaire questions can be divided by taking the dimensions as the standard.
In the embodiment of the invention, the score set consists of a plurality of questionnaire users of the same target questionnaire topic and corresponding scores; the top 27% and bottom 27% scores in the score set can be used as the critical points for high and low groups, the questionnaire users corresponding to scores below the 27% quantile can be used as low groups, and the questionnaire users corresponding to scores above the 73% quantile can be used as high groups.
And S4, calculating the score of the questionnaire questions according to the correlation coefficient and the discrimination coefficient.
In an embodiment of the present invention, the calculating a score of the questionnaire question according to the relevance coefficient and the discrimination coefficient includes:
calculating the score of the questionnaire questions according to the correlation coefficient and the discrimination coefficient by using the following formula:
wherein, gamma is i Expressed as the score, phi, of the ith question of the questionnaire ij Expressed as the correlation coefficient, t, of the ith and jth questionnaire subjects i Is expressed as the discrimination coefficient, t, corresponding to the ith questionnaire topic j Expressed as the discrimination coefficient corresponding to the jth questionnaire topic.
S5, sorting the questionnaire questions according to the dimensionality of the questionnaire questions and the scores of the questionnaire questions to obtain a choice question set.
In an embodiment of the present invention, the sorting the questionnaire questions according to the dimensionality of the questionnaire questions and the scores of the questionnaire questions to obtain a carefully chosen question set includes:
dividing the questionnaire questions according to the dimensionality of the questionnaire questions to obtain questionnaire question sets corresponding to multiple dimensionalities;
performing score size arrangement on the questionnaire questions in the questionnaire question sets corresponding to the multiple dimensions by using the scores of the questionnaire questions to obtain updated questionnaire question sets corresponding to the multiple dimensions;
calculating according to a preset first formula and the number of preset dimension selection questions to obtain the number of first selection questions corresponding to each dimension;
extracting dimension selection questionnaire questions from the updated questionnaire question set corresponding to each dimension according to the number of the first selection questions;
and summarizing the dimensionality selection questionnaire questions corresponding to all the dimensionalities to obtain the selection question set.
Further, in the embodiment of the present invention, the summarizing the dimension selection questionnaire questions corresponding to all the dimensions to obtain the selection question set includes,
summarizing the questionnaire questions except the dimensionality carefully-selected questionnaire questions in the updated questionnaire question set of each dimensionality to obtain questionnaire questions to be screened;
calculating by using a preset second formula and the number of preset dimension selection questions to obtain the number of second selection questions;
obtaining a candidate question ordering set according to the second choice question quantity and the score of the questionnaire questions;
and taking the dimension selection questionnaire questions corresponding to each dimension as a selection question sequencing set, and generating a selection question set according to the candidate question sequencing set and the selection question sequencing set.
Specifically, in the embodiment of the present invention, the first formula is expressed as:
wherein, y 1 Expressed as the number of the first selection topic, m is the number of the preset dimension selection topic]Expressed as a rounding.
In the embodiment of the present invention, the second formula is represented as:
wherein, y 2 Expressed as the second selection topic number, m is the preset dimension selection topic number]Expressed as a rounding.
In the embodiment of the invention, the scores corresponding to the questionnaire questions in the questionnaire question set corresponding to each dimension can be sorted from high to low to obtain an updated questionnaire question set; similarly, sorting can be performed according to the scores of the questionnaire questions to be screened from high to low, and then the questionnaire questions with the second selection question number are extracted according to the score ranking to generate a candidate question sorting set.
In the embodiment of the invention, the selection questions are selected according to the scores and the dimensions of the questionnaire questions, so that the diversity and the accuracy of the generated selection questions can be ensured.
According to the embodiment of the invention, by screening the test questionnaire samples, invalid questionnaire question data can be removed, the standardization of questionnaire questions is realized, and the efficiency of questionnaire question screening is improved; by calculating the correlation coefficient of the questionnaire questions, the diversity of the questionnaire questions can be expanded; the evaluation on the question quality can be realized by calculating the discrimination coefficient of the questionnaire questions, so that the quality of the questionnaire questions is improved; the score of the questionnaire questions is calculated by combining the correlation coefficient and the discriminative coefficient, so that the accuracy of generating the screening questions according to the score and the dimensionality of the questionnaire questions can be improved, the questions under different question dimensionalities are reasonable in structure, and the questions are more balanced. Therefore, the method for screening the questionnaire questions can solve the problem that the efficiency and the accuracy rate of screening the questionnaire questions are low.
Fig. 4 is a functional block diagram of an apparatus for screening questionnaire questions according to an embodiment of the present invention.
The apparatus 100 for screening questionnaire subjects according to the present invention can be installed in an electronic device. According to the realized function, the device 100 for screening questionnaire topics can include a test questionnaire sample screening module 101, a correlation coefficient calculation module 102, a discrimination coefficient calculation module 103, a questionnaire topic score calculation module 104, and a selection topic set generation module 105. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the test questionnaire sample screening module 101 is configured to obtain a test questionnaire sample, and perform data screening on the question of the test questionnaire sample to obtain a questionnaire user and a corresponding questionnaire question.
In the embodiment of the invention, the test questionnaire sample is a questionnaire collected to a user according to different collection requirements on lines in different financial business scenes, and usually exists in a document or list form; according to the difference of users, the users fill in different questionnaire questions, and the test questionnaire has difference based on the difference of the users, so that the diversity of the test questionnaire is improved.
In the embodiment of the invention, by screening the data of the questions of the test questionnaire, invalid questionnaire question data with too many missing values, self-contradictory options and non-compliance can be removed, thereby realizing the standardization of questionnaire questions and improving the efficiency of questionnaire question selection.
In the embodiment of the invention, the test questionnaire sample is composed of a plurality of questionnaire users and test questionnaires filled in by the questionnaire users, the test questionnaires can be composed of questionnaire questions with a plurality of dimensions, such as seven-dimensional assessment around body, emotion, social contact, spirit, cognition, occupation and economy, and the multidimensional investigation of the users and the multidimensional assessment of financial products corresponding to the questionnaires can be realized by filling in the multidimensional questionnaire questions by the users.
In an embodiment of the present invention, when the test questionnaire sample screening module 101 performs data screening on the question of the test questionnaire sample to obtain the questionnaire user and the function of the corresponding questionnaire question, the method is specifically configured to:
extracting questions of the test questionnaire sample and questionnaire users to obtain questionnaire users and corresponding test questionnaire questions;
performing repeated value elimination and missing value elimination on the test questionnaire questions to obtain first questionnaire questions;
and carrying out standardized screening on the first questionnaire questions by using preset screening rules to obtain the questionnaire questions.
In the embodiment of the invention, repeated value elimination can remove repeated options and questions in the questionnaire questions, and missing value elimination can remove vacant choices and questions in the questionnaire questions, so that the efficiency of subsequent questionnaire question screening is improved; the screening rules may be based on financial business rules and the identity of the user. For example, questionnaire questions which do not belong to the financial business category or are filled in when the user identity is in risk, blacklist or the like can be deleted, so that the usability of questionnaire data is improved.
The correlation coefficient calculation module 102 is configured to calculate a correlation coefficient of a questionnaire question according to the questionnaire question corresponding to the questionnaire user.
In this embodiment of the present invention, when the correlation coefficient calculation module 102 executes a function of calculating the correlation coefficient of a questionnaire topic according to a questionnaire topic corresponding to the questionnaire user, the correlation coefficient calculation module is specifically configured to:
selecting two questionnaire questions from the questionnaire questions one by one as comparison questionnaire questions, and generating corresponding category combinations according to options of the comparison questionnaire questions;
performing chi-square statistical calculation according to the actual value of the category combination and the preset expected value of the category combination to obtain chi-square statistic;
and calculating according to the chi-square statistic and the questionnaire questions to obtain the correlation coefficient of the questionnaire questions to be compared.
Specifically, in the embodiment of the present invention, chi-square statistic calculation may be performed by using the following formula:
wherein x is 2 Expressed as chi-square statistic, f o Expressed as the actual value of the combination of classes, f e Expressed as preset expectation values for the combination of categories.
Further, in the embodiment of the present invention, the correlation coefficient may be calculated by using a Cram é's V method, which is specifically shown as follows:
wherein phi is ij Expressed as the correlation coefficient, χ, of the ith questionnaire subject and the jth questionnaire subject in the contrast questionnaire subjects 2 Expressed as chi-square statistic, N as the questionnaire userAnd the number k is expressed as the number of the least options in the question of the contrast questionnaire.
In the embodiment of the invention, the category combination can be an option selection combination of different questionnaire questions by the same questionnaire user, and the different questionnaire users can be further arranged and combined to obtain a plurality of category combinations; the actual value of the category combination may be the number of times that the questionnaire user selects the option, and the preset expected value of the corresponding category combination may be the number of times that the questionnaire user desires to select the option.
In the embodiment of the invention, the value range of the correlation coefficient is 0 to 1,0 represents that two questionnaire subjects are unrelated, 1 represents that the two questionnaire subjects are completely related, and usually more than 0.6 can be regarded as that the two questionnaire subjects are related.
The discrimination coefficient calculation module 103 is configured to calculate a discrimination coefficient of a questionnaire question according to the questionnaire question corresponding to the questionnaire user.
In the embodiment of the present invention, when the function of calculating the discrimination coefficient of the questionnaire question according to the questionnaire question corresponding to the questionnaire user is executed, the discrimination coefficient calculating module 103 is specifically configured to:
assigning values to the questionnaire questions to obtain questionnaire question scores corresponding to each questionnaire question of the questionnaire users;
dividing the questionnaire questions according to preset dimensions of the questionnaire questions to obtain questionnaire question sets corresponding to multiple dimensions;
selecting target dimensions and corresponding target questionnaire questions from questionnaire question sets corresponding to the dimensions one by one;
sorting target questionnaire questions corresponding to the questionnaire users according to the questionnaire question scores to obtain score sets corresponding to the target questionnaire questions;
and dividing the score set into a high group and a low group according to a preset division standard, and calculating the high group and the low group by using a t test formula to obtain a discrimination coefficient corresponding to the target questionnaire questions.
Further, in the embodiment of the present invention, the t-test formula is expressed as:
wherein t is a discrimination coefficient corresponding to the target questionnaire topic,
mean of scores, expressed as said high packet, based on a number of said high packets>
Expressed as a fractional mean of the low packets; n is 1 Number of questionnaire users contained in the high-level group, n 2 Represents the number of questionnaire users contained in the high packet, and ` er `>
A fractional variance, expressed as the high packet, <' > or>
Expressed as the fractional variance of the low packet.
In the embodiment of the invention, because the contents of the options of the questionnaire questions can mostly realize the sequential ordering of importance, health and the like from top to bottom, the questionnaire questions can be assigned according to the options of the questionnaire questions, for example, the questionnaire questions comprise five options, and the five options can be assigned as 0,1,3,5 and 7 from high to low, so that the quantification of the questionnaire questions is realized.
In the embodiment of the invention, the test questionnaire can be composed of questionnaire questions with multiple dimensions, for example, seven dimensions including physical, emotional, social, mental, cognitive, professional and economic dimensions are used, so that the questionnaire questions can be divided by taking the dimensions as the standard.
In the embodiment of the invention, the score set consists of a plurality of questionnaire users of the same target questionnaire subject and corresponding scores; the top 27% and bottom 27% scores in the score set may be considered as the critical points for high and low groups, with questionnaire users corresponding to scores below the 27% quantile being considered low groups and questionnaire users corresponding to scores above the 73% quantile being considered high groups.
And the questionnaire topic score calculating module 104 is configured to calculate the score of the questionnaire topic according to the relevance coefficient and the discrimination coefficient.
In the embodiment of the invention, the score of the questionnaire question is calculated according to the relevance coefficient and the discrimination coefficient by using the following formula:
wherein, γ i Expressed as the score of the ith questionnaire topic, phi ij Expressed as the correlation coefficient, t, of the ith and jth questionnaire subjects i Is expressed as the discrimination coefficient, t, corresponding to the ith questionnaire topic j Expressed as the discrimination coefficient corresponding to the jth question.
The choice topic set generating module 105 is configured to sort the questionnaire topics according to the dimensions of the questionnaire topics and the scores of the questionnaire topics, so as to obtain a choice topic set.
In this embodiment of the present invention, when the selection topic set generating module 105 executes a function of sorting the questionnaire topics according to the dimensionality of the questionnaire topics and the scores of the questionnaire topics to obtain a selection topic set, the function is specifically configured to:
dividing the questionnaire questions according to the dimensionality of the questionnaire questions to obtain questionnaire question sets corresponding to multiple dimensionalities;
performing score size arrangement on the questionnaire questions in the questionnaire question sets corresponding to the multiple dimensions by using the scores of the questionnaire questions to obtain updated questionnaire question sets corresponding to the multiple dimensions;
calculating according to a preset first formula and the number of preset dimension selection questions to obtain the number of first selection questions corresponding to each dimension;
extracting dimension selection questionnaire questions from the updated questionnaire question set corresponding to each dimension according to the number of the first selection questions;
summarizing the dimensionality selection questionnaire questions corresponding to all the dimensionalities to obtain the selection question set.
Further, in this embodiment of the present invention, when the selection topic set generating module 105 performs a function of summarizing the dimension selection questionnaire topics corresponding to all dimensions to obtain the selection topic set, the function is specifically configured to:
summarizing the questionnaire questions except the dimensionality carefully selected questionnaire questions in the updated questionnaire question set of each dimensionality to obtain questionnaire questions to be screened;
calculating by using a preset second formula and the number of preset dimension selection questions to obtain the number of second selection questions;
obtaining a candidate question sorting set according to the number of the second choice questions and the scores of the questionnaire questions to be screened;
and taking the dimension selection questionnaire questions corresponding to each dimension as a selection question sequencing set, and generating a selection question set according to the candidate question sequencing set and the selection question sequencing set.
Specifically, in the embodiment of the present invention, the first formula is expressed as:
wherein, y 1 Expressed as the first selection topic number, m is a preset dimension selection topic number [, ]]Expressed as a rounding.
In the embodiment of the present invention, the second formula is represented as:
wherein, y 2 Expressed as the second selection topic number, m is the preset dimension selection topic number]Expressed as a rounding.
In the embodiment of the invention, the scores corresponding to the questionnaire questions in the questionnaire question set corresponding to each dimension can be sorted from high to low to obtain an updated questionnaire question set; similarly, sorting can be performed according to the scores of the questionnaire questions to be screened from high to low, and then the questionnaire questions with the second selection question number are extracted according to the score ranking to generate a candidate question sorting set.
In the embodiment of the invention, the selected questions are selected according to the scores and the dimensions of the questionnaire questions, so that the diversity and the accuracy of the generated screening questions can be ensured.
Fig. 5 is a schematic structural diagram of an electronic device implementing a method for screening questionnaire questions according to an embodiment of the present invention.
The electronic device 1 may include a processor 10, a memory 11, a communication bus 12, and a communication interface 13, and may further include a computer program, such as a program for questionnaire topic screening, stored in the memory 11 and executable on the processor 10.
In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), a microprocessor, a digital Processing chip, a graphics processor, a combination of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the whole electronic device by using various interfaces and lines, and executes various functions of the electronic device and processes data by running or executing programs or modules (for example, programs for performing questionnaire title screening, etc.) stored in the memory 11 and calling data stored in the memory 11.
The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, and the like. The memory 11 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 11 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used to store not only application software installed in the electronic device and various types of data, such as codes of a program for questionnaire topic screening, but also temporarily store data that has been output or is to be output.
The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
The communication interface 13 is used for communication between the electronic device and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.
Fig. 5 only shows an electronic device with components, and it will be understood by a person skilled in the art that the structure shown in fig. 5 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or a combination of certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management and the like are realized through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the embodiments described are illustrative only and are not to be construed as limiting the scope of the claims.
The program for filtering questionnaire topics stored in the memory 11 of the electronic device 1 is a combination of a plurality of instructions, and when executed in the processor 10, can realize:
obtaining a test questionnaire sample, and performing data screening on questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions;
calculating the correlation coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
calculating the discrimination coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
calculating the score of the questionnaire question according to the correlation coefficient and the discrimination coefficient;
and sequencing the questionnaire questions according to the dimensionality of the questionnaire questions and the scores of the questionnaire questions to obtain a carefully chosen question set.
Specifically, the specific implementation method of the instruction by the processor 10 may refer to the description of the relevant steps in the embodiment corresponding to the drawings, which is not described herein again.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
obtaining a test questionnaire sample, and performing data screening on questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions;
calculating the correlation coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
calculating the discrimination coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
calculating the score of the questionnaire questions according to the correlation coefficient and the discrimination coefficient;
and sequencing the questionnaire questions according to the dimensionality of the questionnaire questions and the scores of the questionnaire questions to obtain a carefully chosen question set.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A method for questionnaire topic screening, the method comprising:
obtaining a test questionnaire sample, and performing data screening on questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions;
calculating the correlation coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
calculating the discrimination coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
calculating the score of the questionnaire question according to the correlation coefficient and the discrimination coefficient;
and sequencing the questionnaire questions according to the dimensionality of the questionnaire questions and the scores of the questionnaire questions to obtain a carefully chosen question set.
2. The method for screening questionnaire questions according to claim 1, wherein the calculating the correlation coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users comprises:
selecting two questionnaire questions from the questionnaire questions one by one as comparison questionnaire questions, and generating corresponding category combinations according to options of the comparison questionnaire questions;
carrying out chi-square statistical calculation according to the actual value of the category combination and the preset expected value of the category combination to obtain chi-square statistic;
and calculating according to the chi-square statistic and the questionnaire questions to obtain the correlation coefficient of the questionnaire questions to be compared.
3. The questionnaire question screening method of claim 2, wherein the chi-square statistic is obtained by performing chi-square statistic calculation according to the actual value of the category combination and a preset expected value of the category combination; calculating according to the chi-square statistic and the questionnaire questions to obtain the correlation coefficient of the comparison questionnaire questions, wherein the calculation comprises the following steps:
chi-square statistical calculations were performed using the following formula:
wherein, χ 2 Expressed as chi-square statistic, f o Expressed as the actual value of the combination of categories, f e A preset expectation value expressed as a combination of categories;
the correlation coefficient is calculated using the following equation:
wherein phi ij Expressed as the correlation coefficient, χ, of the ith and jth questionnaire questions in the contrast questionnaire questions 2 The statistics is expressed as chi-square statistics, N is expressed as the number of questionnaire users, and k is expressed as the number of the least options in the comparison questionnaire questions.
4. The method for screening questionnaire questions according to claim 1, wherein the calculating the discrimination coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users comprises:
assigning the questionnaire questions to obtain questionnaire question scores corresponding to each questionnaire question of the questionnaire users;
dividing the questionnaire questions according to preset dimensions of the questionnaire questions to obtain questionnaire question sets corresponding to multiple dimensions;
selecting target dimensions and corresponding target questionnaire questions from questionnaire question sets corresponding to the dimensions one by one;
sequencing target questionnaire questions corresponding to the questionnaire users according to the questionnaire question scores to obtain a score set corresponding to the target questionnaire questions;
and dividing the score set into a high group and a low group according to a preset division standard, and calculating the high group and the low group by using a t test formula to obtain a discrimination coefficient corresponding to the target questionnaire questions.
5. The method for screening questionnaire questions according to claim 1, wherein the calculating the score of the questionnaire questions according to the relevance coefficient and the discrimination coefficient comprises:
calculating the score of the questionnaire questions according to the correlation coefficient and the discrimination coefficient by using the following formula:
wherein, gamma is i Expressed as the score, phi, of the ith question of the questionnaire ij Is expressed as the correlation coefficient of the ith questionnaire subject and the jth questionnaire subject, t i Is expressed as the discrimination coefficient, t, corresponding to the ith questionnaire topic j Expressed as the discrimination coefficient corresponding to the jth question.
6. The method for screening questionnaire questions according to claim 1, wherein the step of ranking the questionnaire questions according to the dimensionality of the questionnaire questions and the scores of the questionnaire questions to obtain a fine topic set comprises:
dividing the questionnaire questions according to the dimensionalities of the questionnaire questions to obtain questionnaire question sets corresponding to multiple dimensionalities;
performing score size arrangement on the questionnaire questions in the questionnaire question sets corresponding to the dimensions by using the scores of the questionnaire questions to obtain updated questionnaire question sets corresponding to the dimensions;
calculating according to a preset first formula and the number of preset dimension selection questions to obtain the number of first selection questions corresponding to each dimension;
extracting dimension selection questionnaire questions from the updated questionnaire question set corresponding to each dimension according to the number of the first selection questions;
summarizing the dimensionality selection questionnaire questions corresponding to all the dimensionalities to obtain the selection question set.
7. The method for screening questionnaire questions according to any one of claims 1 to 6, wherein the data screening of the questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions comprises:
extracting questions of the test questionnaire sample and questionnaire users to obtain questionnaire users and corresponding test questionnaire questions;
performing repeated value elimination and missing value elimination on the test questionnaire questions to obtain first questionnaire questions;
and carrying out standardized screening on the first questionnaire questions by using preset screening rules to obtain the questionnaire questions.
8. An apparatus for questionnaire topic screening, the apparatus comprising:
the test questionnaire sample screening module is used for obtaining a test questionnaire sample and carrying out data screening on questions of the test questionnaire sample to obtain questionnaire users and corresponding questionnaire questions;
the correlation coefficient calculation module is used for calculating the correlation coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
the discrimination coefficient calculation module is used for calculating the discrimination coefficient of the questionnaire questions according to the questionnaire questions corresponding to the questionnaire users;
the questionnaire question score calculation module is used for calculating the score of the questionnaire question according to the relevance coefficient and the discrimination coefficient;
and the selection topic set generating module is used for sequencing the questionnaire topics according to the dimensionality of the questionnaire topics and the scores of the questionnaire topics to obtain a selection topic set.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of questionnaire topic screening as recited in any one of claims 1 to 7.
10. A computer-readable storage medium, storing a computer program, wherein the computer program, when executed by a processor, implements the method for questionnaire topic screening of any one of claims 1-7.
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