Research on Satisfaction Evaluation Model Based on Ordered Logistic Regression

M. Zhang, Xiaofang Qin
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引用次数: 0

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.
基于有序逻辑回归的满意度评价模型研究
满意度的分析与评价可以培养学生对专业培训目标的认知和态度,从学生的角度寻找专业培训方案,提高学生的学习水平,具有非常重要的研究价值和应用价值。本文采用有序逻辑回归模型作为计算方法,建立了顾客满意度指数模型,极大地促进了满意度研究的进程。从宏观上看,满意度指数模型与测量模型相结合是计算的基础,便于对不同产品或服务的质量进行横向比较;同时,顾客满意模型和指标体系也为满意度研究提供了理论和方法依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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