{"title":"基于有序逻辑回归的满意度评价模型研究","authors":"M. Zhang, Xiaofang Qin","doi":"10.1145/3584748.3584794","DOIUrl":null,"url":null,"abstract":"The analysis and evaluation of satisfaction can cultivate students' perceptions and attitudes towards professional training goals, find professional training programs from the perspective of students, and improve students' learning level, which has very important research value and application value. This paper takes the model of Ordered Logistic regression as the calculation method to represent the establishment of the customer satisfaction index model, which greatly promotes the process of satisfaction research. From a macro perspective, the satisfaction index model combined with the measurement model is the basis of calculation, which is convenient for horizontal comparison of the quality of different products or services; at the same time, the customer satisfaction model and index system also provide a theoretical and methodological basis for satisfaction research.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Satisfaction Evaluation Model Based on Ordered Logistic Regression\",\"authors\":\"M. Zhang, Xiaofang Qin\",\"doi\":\"10.1145/3584748.3584794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The analysis and evaluation of satisfaction can cultivate students' perceptions and attitudes towards professional training goals, find professional training programs from the perspective of students, and improve students' learning level, which has very important research value and application value. This paper takes the model of Ordered Logistic regression as the calculation method to represent the establishment of the customer satisfaction index model, which greatly promotes the process of satisfaction research. From a macro perspective, the satisfaction index model combined with the measurement model is the basis of calculation, which is convenient for horizontal comparison of the quality of different products or services; at the same time, the customer satisfaction model and index system also provide a theoretical and methodological basis for satisfaction research.\",\"PeriodicalId\":241758,\"journal\":{\"name\":\"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3584748.3584794\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584748.3584794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Satisfaction Evaluation Model Based on Ordered Logistic Regression
The analysis and evaluation of satisfaction can cultivate students' perceptions and attitudes towards professional training goals, find professional training programs from the perspective of students, and improve students' learning level, which has very important research value and application value. This paper takes the model of Ordered Logistic regression as the calculation method to represent the establishment of the customer satisfaction index model, which greatly promotes the process of satisfaction research. From a macro perspective, the satisfaction index model combined with the measurement model is the basis of calculation, which is convenient for horizontal comparison of the quality of different products or services; at the same time, the customer satisfaction model and index system also provide a theoretical and methodological basis for satisfaction research.