Summary: | 碩士 === 大葉大學 === 工學院碩士在職專班 === 101 === This study is based on the statistical data of recycling rate to 26 townships in Changhua County in 2010. By choosing Tianwei(the highest recycling rate), Yuanlin(the middle), and Fangyuan(the lowest)as studying areas and the fourth grader and sixth grader elementary students as studying targets, the study tries to understand the current situation about students’ recycling cognition and behavior, and to explore the influences from personal background variables. Then the study will analyze the correlation between both and finally compare the relatedness with the recycling rate of the township. With questionnaires, the data in this study are processed and analyzed by using statistical methods from SPSS V12:descriptive statistics, T-test, One-way ANOVA, and Pearson product correlation.
The results reveal:There are significant differences on recycling cognition and background variables --genders, grades, parental vocations, parental education, school districts and recycling experiences. There are significant differences on recycling behavior among background variables --genders, mother's vocations, parental education, school districts and recycling experiences. There are positive correlation between recycling cognition and recycling behavior.
This research discover that:The recycling cognition and behavior of elementary school students in Changhua County are unrelated to recycling rate. But there are gaps between unban areas and rural areas. It is significant that the students living in Yuanlin are superior to those in Tianwei and Fangyuan in recycling cognition. Meanwhile it reaches to significant differences that the students living in Yuanlin and Tianwei are superior to those in Fangyuan in recycling behavior.
Suggest those who will proceed related study, the samples can extend to sanitation workers, community, and government organizations. As for school system, besides elementary students, junior high school and senior high school students can be considered together. Therefore, the conclusion will be more representative.
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