摘要
指出了目前在垃圾分类方面我国与国外存在很大的差距,大学生作为一个高文化水平群体,应该在垃圾分类行为方面起到带头作用。采用分析方法为主成分分析法(英文简称PCA)和抽样调查方法,数据收集方法包括网上发放问卷、校园内发放纸质问卷和校内实地访谈,原始数据为在对问卷和访谈结果整理的基础上,计算了平均数,再运用IBM SPSS Statistics 21.0软件进行了数据的分析研究。根据主成分分析结果,将初始的7个影响因素进一步转化为3个综合指标,分别为主客关系主成分、负面心理主成分、宣传主成分。最后针对得出的结论提出了相关建议,以期为我国垃圾分类的推广与执行提供借鉴。
This paper pointed out that there is a large gap between our country and other countries in terms of garbage classification at present. As a group of high-level knowledge, college students should play a leading role in garbage classification behavior. The main applied analytic methods in this study were PCA and sampling survey. And the data collection methods included online questionnaire, paper questionnaire and on-the-spot interview in campus. The raw data was achieved by calculating the average on the basis of the results of questionnaires and interviews, then using the IBM SPSS Statistics software for data analysis. According to the results of PCA, the initial seven influencing factors were transferred furtherly into three comprehensive indexes, i.e. relationship between subject and the main composition, negative psychological principal components and principal components. Finally, aiming at the achieved results, we put forward relative suggestions for promotion and implementation of garbage classification in our coun- try.
出处
《绿色科技》
2016年第16期95-98,共4页
Journal of Green Science and Technology
关键词
主成分分析法
大学生
垃圾分类
影响因素
PCA
college students
garbage classification
influencing factors