私立護理專科學校學生選校因素分析

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姓名

羅盛宏(Sheng-Hung Lo) 查詢紙本館藏

畢業系所

資訊管理學系

論文名稱

私立護理專科學校學生選校因素分析
(Analysis of School Choice Factors Influencing Private Nursing Junior College Freshmen)

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摘要(中)

因應少子化問題，根據內政部統計處人口統計數據顯示台灣每年的新生兒人口數從1991年 321,932人降至西元2018年 181,601 人，整整少了140,331人，減少幅度達 43.59%。台灣少子化現象是值得重視的議題，少子化不單單只是影響中小學而已，也逐年帶給大專校院壓力。根據教育部2018年統計資料顯示我國現有大專校院數多達一百六十所以上，大專校院招生總人數，已超過全台灣所有的高中職畢業生總人數，因而產生招生不足問題發生，招生不足會對這些院所科系及學校產生營運上的困難。
基於校務研究出發點，本研究經由兩次問卷調查，對象是透過一年級新生入學學生的回饋反思當時選擇學校或科系誘因為何。經由本研究提出招生行銷假設模型，首先第一次問卷發放於2017年，採用因素分析方法發現變數之間所潛在構面，本研究總共發現八個構面，包括教學特色、教學設施、就業輔導、居住功能、課外活動、媒體廣告、社會支持及社會評價。第二次刪除較少關聯因素項目之後於2018年進行問卷調查，並經由結構方程模型驗證分析方法檢測結果，其中五項假設檢定都符合原先提出的假設情況，但另外發現一項構面課外活動並不支持正向影響教學特色的形成。期望透由採用上述八個構面及因素項目進行招生方式運用，能夠增加招收新生入學數量，為私立學校經營者長期經營，提供了較為堅實的招生策略因素來源分析基礎。
在資訊管理的運用議題上，透過本研究問卷調查及分析結果找出關鍵因素，配合校務研究資料庫建置，校方可以累積大量學生及教學的資料。在累積多年以後，校務研發單位可以設想對學校發展各種經營議題，譬如學生來源分布、學生成績好壞、學生參加過的比賽，或者是心理諮商中心輔導紀錄，等等。經由資料庫資料交叉比對，希望能分析出學校經營狀況優點與缺點，做為經營者下定決策的判斷依據。

摘要(英)

The Statistics Enquiry Network Report by the Ministry of the Interior of Taiwan focused on the country’s low birthrate; the number of newborns declined from 321,932 in 1991 to 181,601 in 2018, a decrease of 140,331 (43.59%). This declining birthrate has affected elementary and junior high schools and gradually placed pressure on colleges and universities. According to the Ministry of Education, the number of tertiary institutions in Taiwan exceeded 160 in 2018, and the number of available admission positions at colleges and universities exceeds the number of senior high school graduates. Thus, numerous junior college departments have begun to experience insufficient enrollment. Low enrollment affects the performance of faculties at such schools.
With reference to the relevant literature and conduct institutional research, this study administered two questionnaires to obtain feedback from freshmen to examine their school or department choice and create a model of enrollment marketing. The first questionnaire was administered in 2017. We used the exploratory factor analysis to identify hidden constructs among variables. The current study focused on eight constructs: teaching characteristics, teaching facilities, employment counseling, living functions, extracurricular activities, media advertising, social support, and social evaluation. After eliminating irrelevant factor items, we conducted another questionnaire in 2018. Through confirmatory factor analysis and structural equation modeling, we examined potential variables to identify those that could be used by school administrators in formulating an enrollment strategy. According to the results of the model, five hypotheses confirmed our theoretical assumptions. Our results present surprising findings; the extracurricular activity construct exerted a not support positive influence on the formation of teaching characteristics. According to our hypothesis, targeting these eight constructs for enrollment marking should increase the number of freshmen enrollment. Thus, our results provide private school operators with a solid foundation for developing a long-term student enrollment strategy.
Through our questionnaire survey and analysis, we identified several key factors of the application of information management. Many student and teaching data can be accumulated through a school affairs database established for related research. After years of accumulating data, the school research and development unit can target for improving school business development, such as the distribution of student sources, quality of student performance, student participation in competitions, or psychological counseling records, etc. Such data can be cross-checked to analyze the pros and cons of the school’s operation to be used as a basis for decision-making.

關鍵字(中)

★ 探索性因素分析
★ 結構方程模型
★ 私立專科學校
★ 招生
★ 市場行銷
★ 校務研究
★ 校務資料庫建置

關鍵字(英)

★ Exploratory factor analysis
★ Structural equation modeling
★ Private junior college
★ Enrollment
★ Marketing
★ Institutional research
★ Construction of school affairs database

論文目次

Table of Contents
摘要 i
Abstract ii
誌謝 iv
Table of Contents v
List of Figures vi
List of Tables vi
Chapter 1. Introduction 1
1.1 Research Motivation 2
1.2 Research Background and Purposes 4
1.3 Scope 6
Chapter 2. Theoretical Background and Hypothesis Development 8
2.1 Fertility Decline 8
2.2 Willingness to Pursue Higher Education 13
2.3 Teaching Characteristics 15
2.3.1 Teaching Facilities 19
2.3.2 Employment Counseling 26
2.3.3 Living Functions 35
2.3.4 Extracurricular Activities 37
2.4 Media Advertising 40
2.4.1 Marketing 42
2.4.2 Implications for School Marketing 47
2.4.3 Advertising and Promotion 55
2.5 Social Support 55
2.6 Social Evaluation 62
Chapter 3. Research Methodology 64
3.1 Research Framework 64
3.2 Research Hypotheses 65
3.3 Data Collection Method 66
3.4 Questionnaire Design 73
3.5 Data Analysis Method 75
Chapter 4. Data Analysis 78
4.1 Sample Data Structure and Descriptive Analysis 78
4.2 Reliability and Validity Testing 81
4.3 Model Analysis 89
4.4 Structural Model Analysis and Hypothesis Testing 94
4.5 Overall Correlation Measure 97
Chapter 5. Discussion and Implications 98
5.1 Research Findings and Limitations 98
5.2 Recommendations for Future Research Directions 100
5.3 Practical Implications 101
5.4 Conclusion 106
References 107
Appendix A: The Questionnaire 111

List of Figures
Figure 1. Reasons for Taiwan’s Decline in Fertility. 10
Figure 2. Taiwan-Fukien Area Birth Population Trend Line. 12
Figure 3. Marketing Transaction Structure. 44
Figure 4. Research Steps. 65
Figure 5. Integration of Structural Model with Hypotheses. 65
Figure 6. Scree Plot. 83
Figure 7. Correlative Model of Paths. 94
Figure 8. Results for Structural Equation Modeling Analysis. 96

List of Tables
Table 1. Number of Births in the Taiwan–Fukien Area. 11
Table 2. Summary of Declarations Regarding Campus Sustainability. 20
Table 3. Advantages of the Delphi Method. 67
Table 4. Limitations of the Delphi Method. 69
Table 5. Delphi Method Expert Panelist Details. 72
Table 6. Background Descriptive Statistics—Gender. 79
Table 7. Background Descriptive Statistics—School System. 79
Table 8. Background Descriptive Statistics—Academic Departments. 79
Table 9. Background Descriptive Statistics—Location of Junior High School. 80
Table 10. Background Descriptive Statistics—Prioritization of School or Academic Department in Education Decision. 80
Table 11. Reliability According to Cronbach’s α Coefficient Analysis—Suggested Values. 82
Table 12. Results for Construct Naming. 83
Table 13. Results for Kaiser–Meyer–Olkin and Bartlett’s Test. 88
Table 14. Results for Model Fit— Scholars’ Suggested Values. 90
Table 15. Results for Measurement Model. 91
Table 16. Results for Correlation Matrix of Latent Variables and the Square Root of AVEs 93
Table 17. Results for Hypothesis Testing. 96

參考文獻

Administration, Y. D. (2016). College graduate employment ability survey. Retrieved June 15, 2019, from https://www.yda.gov.tw/index.aspx
Ainley, J. G. (1985). Equipment and Material and Their Effects on Teaching (Vol. 3): Pegamon Press Ltd.
Alex, A. (2012). Enhancing students′ employability through business simulation. 54(5).
Allen, I. E., & Seaman, C. A. (2007). Likert scales and data analyses. Quality progress, 40(7), 64-65.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.
Bauer, H. H., Stokburger-Sauer, N. E., & Exler, S. (2008). Brand image and fan loyalty in professional team sport: A refined model and empirical assessment. Journal of sport Management, 22(2), 205-226.
Bellamy Jr, R. V., & Traudt, P. J. (2000). Television branding as promotion Research in media promotion (pp. 140-173): Routledge.
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588.
Berkman, L. F., Glass, T., Brissette, I., & Seeman, T. E. (2000). From social integration to health: Durkheim in the new millennium. Social science & medicine, 51(6), 843-857.
Bortree, D. S., & Seltzer, T. (2009). Dialogic strategies and outcomes: An analysis of environmental advocacy groups’ Facebook profiles. Public relations review, 35(3), 317-319.
Brown, & Lloyd, W. (1984). West Indian youth in Metro Toronto : the relative effects of home and school related variables on their attitudes towards participation in post-secondary education. Dissertation Abstracts International, 46(5), 1624.
Brown, G. W. (1974). Meaning, measurement, and stress of life events.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. Sage focus editions, 154, 136-136.
Caplan, G. (1974). Support systems and community mental health: Lectures on concept development: behavioral publications.
Catri, D. (1998). Vocational education’s image for the 21st century (ERIC Digest No. 188). Columbus, OH: ERIC Clearinghouse on Adult, Career, and Vocational Education.
Christenson, S. L., Reschly, A. L., & Wylie, C. (2012). Handbook of research on student engagement: Springer Science & Business Media.
Coccari, R. L., & Javalgi, R. G. (1995). Analysis of students′ needs in selecting a college or university in a changing environment. Journal of Marketing for HIGHER EDUCATION, 6(2), 27-40.
Cohen, S., & Syme, S. L. (1985). Issues in the study and application of social support. Social support and health, 3, 3-22.
Couper, M. R. (1984). The Delphi technique: characteristics and sequence model. ANS. Advances in nursing science, 7(1), 72-77.
Davies, B., & Ellison, L. (1997). Strategic marketing for schools: how to harmonise marketing and strategic development for an effective school: Financial Times/Prentice Hall.
DeVellis, R. F. (1991). Guidelines in scale development. Scale Development: Theory and Applications. Newbury Park, Calif: Sage, 5191.
Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS quarterly, 453-461.
Drucker, P. F. (1975). The practice of management: Allied Publishers.
Eastman, S. T., Ferguson, D. A., & Klein, R. A. (2012). Promoting the media: Scope and goals: Routledge.
Education, M. o. (2016). Education Policy White Paper. Retrieved June 5, 2019, from https://depart.moe.edu.tw/ED2100/News.aspx?n=1353704343B62511&sms=2ADD120E8E2615E3
Engel, J. F., & Roger, D. (1995). Blackwell (1982), Consumer Behavior. New York: Holt, Rinehart and Winston.
Evans, I. G. (1995). Marketing for Schools: ERIC.
Feick, L. F. (1989). Latent class analysis of survey questions that include don′t know responses. Public Opinion Quarterly, 53(4), 525-547.
Felner, R. D. (1984). Vulnerability in childhood--a preventive framework for understanding children′s efforts to cope with life stress and transitions. Prevention of problems in childhood: psychological research and applications/edited by Michael C. Roberts, Lizette Peterson.
Felson, R. B., & Zielinski, M. A. (1989). Children′s self-esteem and parental support. Journal of Marriage and the Family, 727-735.
Florax, R. J. (1992). The University: A Regional Booster? Economic Impacts of Academic Knowledge Infrastructure. Aldershot. Hampshire.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388.
Frazier, T. (2003). A strategic marketing plan for San Marcos Baptist Academy (Texas).
Gilmour Jr, J. E. (1981). How High School Students Select a College.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. (1998). Multivariate data analysis, 1998. Upper Saddle River.
Hayduk, L. A. (1987). Structural equation modeling with LISREL: Essentials and advances: Jhu Press.
Heller, K., & Swindle, R. W. (1983). Social networks, perceived social support, and coping with stress. Preventive psychology: Theory, research and practice, 87-103.
Interior, M. o. t. (2019). Ministry of the Interior Statistics Enquiry Network. Retrieved September 25, 2019, from http://statis.moi.gov.tw/micst/stmain.jsp?sys=100
Jacob, B. (1993). Service-learning in today′s higher education (Vol. 156): San Francisco: Jossey-Bass Pub.
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36.
Keller, K. L., Parameswaran, M., & Jacob, I. (2011). Strategic brand management: Building, measuring, and managing brand equity: Pearson Education India.
Kent, M. L., & Taylor, M. (1998). Building dialogic relationships through the World Wide Web. Public relations review, 24(3), 321-334.
Kettinger, W. J., & Lee, C. C. (1994). Perceived service quality and user satisfaction with the information services function. Decision sciences, 25(5‐6), 737-766.
Khorramshahgol, R., & Moustakis, V. S. (1988). Delphic hierarchy process (DHP): A methodology for priority setting derived from the Delphi method and analytical hierarchy process. European Journal of Operational Research, 37(3), 347-354.
Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business horizons, 54(3), 241-251.
Kim, T.-W., Lee, K.-G., & Hong, W.-H. (2012). Energy consumption characteristics of the elementary schools in South Korea. Energy and Buildings, 54, 480-489.
Kotler, P. (1994). Marketing management, analysis, planning, implementation, and control, Philip Kotler: London: Prentice-Hall International.
Kotler, P., & Fox, K. F. (1995). Strategic marketing for educational institutions.
Kuh, G. D. (1993). In their own words: What students learn outside the classroom. American Educational Research Journal, 30(2), 277-304.
Lai, D., Tian, Y., & Meng, D. (2011). Differences between the employment of higher education students from the cities and the countryside and the fairness of higher education: from the perspective of employment capability. Chinese Education & Society, 44(1), 3-26.
Lair, J. (1984). Change induction groups, group psychotherapy, integrity groups, peer counseling. Encyclopedia of psychology, 1(2), 493-494.
Levitt, T. (1960). Marketing myopia: Boston.
McCarthy, E. J. (1960). Basic marketing: a managerial approach. Homewood, Illinois: Richard D. Irwin. Inc. McCarthyBasic Marketing: A Managerial Approach1960.
Mokwa, M. P., & Permut, S. E. (1981). Government marketing: Theory and practice: Praeger.
Nunally, J. C., & Bernstein, I. H. (1978). Psychometric theory: New York: McGraw-Hill.
OECD. (2017). Fertility rates. OECD Family Database. Retrieved August 8, 2019, from https://data.oecd.org/pop/fertility-rates.htm
Ozdemir, N., & Hacifazlioglu, O. (2008). Influence of family and environment on studehts′ occupational choices and expectations of their prospective universities. Social Behavior and Personality: an international journal, 36(4), 433-446.
Rea, P. (1989). Segmenting Ohio higher education student markets by using ACT data (Doctoral dissertation, University of Akron, 1989). Dissertation Abstracts International, 50.
Ries, A., & Trout, J. (1986). Marketing warfare. Journal of Consumer Marketing.
Roe, A. (1956). The psychology of occupations.
Rothwell, A., Jewell, S., & Hardie, M. (2009). Self-perceived employability: Investigating the responses of post-graduate students. Journal of Vocational Behavior, 75(2), 152-161.
Saupe, J. L., & Montgomery, J. R. (1970). The Nature and Role of Institutional Research. Memo to a College or University.
Schiffman, L. G., & Kanuk, L. L. (2000). Consumer behavior, 7th. NY: Prentice Hall, 15-36.
Schultz, D. E., Tannenbaum, S. I., & Lauterborn, R. F. (1994). The new marketing paradigm: Integrated marketing communications: McGraw Hill Professional.
Scott, S. G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of management journal, 37(3), 580-607.
Sebba, R. (1986). Architecture as Determining the Child′s Place in Its School.
Sharf, R. (2010). Adolescent career development. Applying career development theory to counseling, 4, 173-202.
Shea, P., Li, C. S., & Pickett, A. (2006). A study of teaching presence and student sense of learning community in fully online and web-enhanced college courses. The Internet and Higher Education, 9(3), 175-190.
Shiau, W.-L., Yan, C.-M., & Lin, B.-W. (2019). Exploration into the intellectual structure of mobile information systems. International Journal of Information Management, 47, 241-251.
Shostack, G. L. (1985). Planning the service encounter. The service encounter.
Solomon, M. R. (1983). The role of products as social stimuli: A symbolic interactionism perspective. Journal of Consumer research, 10(3), 319-329.
Taiwan, H. E. E. a. A. C. o. (2017). Evaluation of the Faculty of Taiwan University - Education Assessment Program. Retrieved May 12, 2019, from http://www.heeact.edu.tw
Tannenbaum, S. I., & Lauterborn, R. F. (1993). Integrated Marketing Communications. Lincolnwood, IL: NTC Business Books.
Taylor, R. W., & Kress, G. (1987). Factors that influence minority dental students′ career plans. Journal of dental education, 51(9), 528-531.
Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International journal of research in marketing, 12(2), 137-155.
Turoff, M. (1977). The Delphi method: Techniques and applications: Addison-Wesley.
TWVIC. (2018). 2018 Taiwan Network Report. Retrieved July 20, 2019, from https://report.twnic.tw/2018/
Volkwein, J. F. (2011). Gaining ground: The role of institutional research in assessing student outcomes and demonstrating institutional effectiveness. NILOA Occasional Paper, 11.
Volkwein, J. F. (2015). Teaching and learning in IR courses: Myths vs. reality. Paper presented at the Forum of the Association for Institutional Research, Denver, CO.
Wang, Z., Tchernev, J. M., & Solloway, T. (2012). A dynamic longitudinal examination of social media use, needs, and gratifications among college students. Computers in Human Behavior, 28(5), 1829-1839.
White, C., & Raman, N. (1999). The World Wide Web as a public relations medium: The use of research, planning, and evaluation in Web site development. Public relations review, 25(4), 405-419.
Winer, R. S. (2001). A framework for customer relationship management. California management review, 43(4), 89-105.
Zeisel, J. (1981). Inquiry by design: Tools for environment-behavior research. Monterey: Brooks: Cole Publishing Company.

指導教授

薛義誠

審核日期

2020-1-3

推文