The purpose of this study is to develop a scale for measuring the “selective attributes” or characteristics that influence distance continuing education learners’ decision-making in selecting an academic institution; it also presents practical implications for marketing by estimating how the factors that are classified through factor analysis form clusters. As a result of the exploratory factor analysis to develop a scale for measuring the selective attributes which that are influential factors in selecting an academic institution, the attributes were categorized as “academic curriculum and convenience of facilities,” “ease of obtaining the degree,” “faculty and course quality,” and “tuition discount and scholarship.” As a result of the cluster analysis using factor scores, cluster types were classified as “tuition and scholarship group,” “diverse purpose group,” and “academic curriculum and convenience of facilities group.” Multivariate analysis of variance (MANOVA) was performed to verify the validity of the cluster types, and each cluster was determined to carry statistical significance.
목차
Abstract 1. Introduction 2. Previous Research 3. Research Model and Design 4. Result 5. Discussion References
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.8 No.12