江苏省公众气象服务满意度影响因素研究

通过江苏省气象局设计的《江苏省公众气象服务需求调查表》对江苏省13个市及各县区进行整群抽样调查,获取较大数量的公众气象服务满意度样本和数据,选取性别、年龄、属性、行业、本地居住时间、收入6个影响因素。运用单因素方差分析、多因素方差分析和多元线性回归模型,对江苏省公众气象服务满意度进行分析。结果显示在单因素方差分析中,除性别外,其余5个影响因素的差异均为显著。在多因素方差分析中双因素、3因素和4因素交互均不显著。通过多元线性回归进一步分析得出居住时间是影响满意度的最主要因素,而性别是影响最小的因素。

Study on influential factors of public meteorological service satisfaction in Jiangsu

Based on cluster sampling investigation in 13 cities and their affiliated counties in Jiangsu province by the chart of Jiangsu public meteorological service survey designed by Jiangsu meteorological bureau, a larger amount of public meteorological service satisfaction samples and data were collected to select six influential factors such as sex, age, property, occupation, local residence time, income. The one-way anova analysis,multi-factor variance analysis and multiple linear regression were used to study public meteorological service satisfaction of Jiangsu. Results showed that in one-way anova analysis, all the influential factors showed significant difference except sex, while in multi-factor variance analysis, the interaction among double, three and four factors was not significant. The multiple linear regression analysis found that it was the inhabitation time that influenced the public satisfaction most significantly, while the sex was the least one.