20일부터 5월 21일까지 이틀간 건국대 서울캠퍼스에서 건국대 재학생들을 대상으로 연령, 학과를 구분하지 않고 남, 여 각각 50명씩 100명을 무작위 표본추출 하였다.
2) Measuremnet
설문지 조사법을 사용하였다.
Ⅴ. Finding
1. Verification of hypothese
1) 남자가 여자보다 인터넷 정치참여율이 높을 것이다.
Ⅳ. Method
1. conceptualization
1) Independent variable
➀ Gender
Male / Female
➁ Average time of using internet per a day
Not use / Less than 1hour / 1hour-2hour / 2hour-3hour / More than 3hour
2) Dependent variable
➀ Degree of Learning political informaion by using internet.
➁ Experience of participating On-Line Poll
➂ Experience of participating
4. Regression analysis
4-1 Tourism destination image depending on PPL effect
We analyzed that PPL give what kind of effect on to Cognitive, Emotional tourism destination image. In other words, we took linear regression analysis to know the Cognitive, Emotional tourism destination image depending on PPL effect. Through the variable calculation, we got the mean of PPL effect. We set this to
Ⅰ. Introduction
1. Study background and objectives
Recently, due to environmental pollution and climate change, attention to environment is more growing than ever. Especially, buildings form 40% of energy and resource consumption, 30-40% of carbon dioxide emission, 20-25% of waste discharge, 17% of water consumption, and 25% of wood consumption, so buildings are mainly responsible for
method that problem is unclear and undetermined for troubleshooting procedures used in situations where decision-making - textbook CH.8)" to solve the problems.
I. Introduction
1. Enviromental Analysis
1) The external environment
Through a variety of media, we can see that the steel industry is currently undergoing recession. News about this industry and rumors in this industry prov