检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]杭州师范大学理学院,浙江 杭州
出 处:《统计学与应用》2020年第3期357-364,共8页Statistical and Application
摘 要:本文以杭州市中小学教师为调查群体,旨在调查当前该群体的压力现状,研究有效减压措施。首先,我们以简单随机抽样获得调查数据,通过文字和图表对基本信息和基本情况进行描述性分析,接着我们对受压现状和压力影响因素进行关联规则挖掘、对压力程度和来源进行列联表分析,寻找彼此相关性。再次,我们利用主成分分析对影响因素进行降维,用层次分析确定因素权值,对压力影响因素进行分析,通过二元Logistic回归模型对“教师是否产生倦怠情绪”进行回归分析,最后研究压力因素对教师满意度的影响,根据各因素权重研究相关减压措施。This paper takes Hangzhou primary and middle school teachers as the survey group. The purpose of this study is to investigate the current situation of the group’s stress and to study the effective decompression measures. First of all, we use simple random sampling to obtain survey data, and use words and charts to describe the basic information and situation. Then, we mine association rules for the status quo of pressure and the factors affected by pressure, and analyze the degree and source of pressure in a contingency table to find the correlation between them. Thirdly, we use principal component analysis to reduce the dimension of influencing factors, use AHP to determine the weight of factors, and analyze the influencing factors of pressure. Through the binary logistic regression model, this paper makes a regression analysis of “whether teachers have burnout emotion”. Finally, the influence of stress factors on teacher satisfaction is studied, and the relevant stress reduction measures are studied according to the weight of each factor.
关 键 词:描述性分析 关联规则挖掘 主成分分析 层次分析 二元LOGISTIC回归
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.4