网络群体生存质量横断面研究:PLS-SEM回归分析

Cross-sectional Study on the Quality of Life of Network Group: PLS-SEM Regression Analysis

目的:描绘互联网高速发展下,已达公民总数63.77%的网络群体生存质量画像。方法:基于2018年8省(市)2400位网络人群生存质量横断面数据,构建皮尔逊积矩相关系数、PLS结构方程模型,对影响网民生存质量的关键要素进行分析。结果与结论:互联网改变传统生存方式,与主流观点不同,影响网络群体生存质量的强弱因素依次为心理因素、环境因素、生理因素及社会关系因素。人群画像特征为:慢病出现年轻化趋势、个性化更加凸显、社会关系网络弱化、互联网对公平性提升有益。后续研究将进一步聚焦性别平等与不同人群画像的交叉研究,以期发现规律和办法,提升公民整体生存质量。

Objective: The study depicts the quality of life of Chinese citizens who have reached 63.77% of the total number of citizens under the rapid development of the Internet. Methods: Based on the cross-sectional data of 2400 Internet active populations in 8 provinces(cities) in China in 2018, the Pearson product moment correlation coefficient and word cloud map were constructed. PLS structural equation model to affect the survival of citizens. Analysis of key quality factors. Results& Conclusion: Internet changes the traditional way of life, different from the mainstream view, the strong and weak factors affecting the quality of life of the network group are psychological factors, environmental factors, physiological factors and social relations factors. The characteristics of the portrait of the population are: the trend of slow disease is younger, personalization is more prominent, the social network weakens, and the Internet enhances fairness. The follow-up study will further focus on the cross-research of gender equality and portraits of different groups of people, with a view to finding laws and methods to improve the overall quality of life of citizens.