[1]
|
Allen, I. E., & Seaman, J. (2008). Staying the course: Online education in the United States, 2008. The Sloan Consortium. http://www.sloan-c.org/publications/
|
[2]
|
Allen, I. E., & Seaman, J. (2013). Changing course: Ten years of tracking online education in the United States. Babson Park, MA: Babson Survey Research Group and Quahog Research Group. http://www.onlinelearningsurvey.com/reports/changingcourse.pdf
|
[3]
|
Barefoot, B. O. (2004). Higher education’s revolving door: Confronting the problem of student dropout in US colleges and universities. Open Learning, 19, 9-18. http://dx.doi.org/10.1080/0268051042000177818
|
[4]
|
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182. http://psych.wisc.edu/henriques/mediator.html http://dx.doi.org/10.1037/0022-3514.51.6.1173
|
[5]
|
Bean, J., & Metzner, B. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research, 55, 485-540. http://dx.doi.org/10.3102/00346543055004485
|
[6]
|
Blashak, T. (2010). Academic advising: A correlation analysis of online student retention and academic advisor emotional intelligence. Ed.D. Dissertation, Phoenix, AZ: University of Phoenix.
|
[7]
|
Bloom, B. S. (1956). Taxonomy of educational objectives, Handbook 1: Cognitive domain. New York: Longman.
|
[8]
|
Brown, C. (2007). An empirical test of the nontraditional undergraduate student attrition model using structural equation modeling. Ph.D. Dissertation, Athens, OH: Ohio University.
|
[9]
|
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155159. http://dx.doi.org/10.1037/0033-2909.112.1.155
|
[10]
|
Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Thousand Oaks, CA: SAGE Publications, Inc.
|
[11]
|
Crisp, G. (2010). The impact of mentoring on the success of community college students. Review of Higher Education, 34, 39-60. http://dx.doi.org/10.1353/rhe.2010.0003
|
[12]
|
Cronbach, L. (1951). Coefficient alpha and the internal. Psychometrika, 16, 297-334. http://dx.doi.org/10.1007/BF02310555
|
[13]
|
Davis, C. (2010). Noncognitive predictors of academic performance and persistence in horizontal and vertical transfer students by academic level. Ph.D. Dissertation, Norfolk, VA: Old Dominion University.
|
[14]
|
Dizik, A. (2010). Business education: Online programs push for more interaction. Wall Street Journal (Eastern Edition), B9. http://search.proquest.com/docview/577230086?accountid=28844
|
[15]
|
Farmer, L. (2009). Correlation of student expectations of online classes and course grades at a community college. D.M. Dissertation, Phoenix, AZ: University of Phoenix.
|
[16]
|
Field, K. (2009). President’s budget would end bank-based student lending and significantly expand Pell grants. The Chronicle of Higher Education. http://chronicle.com/article/Presidents-Budget-Would-End/1555
|
[17]
|
Filimban, G. Z. (2008). Factors that contribute to the effectiveness of online learning technology at Oregon State University. http://search.proquest.com/docview/304500250?accountid=28844
|
[18]
|
Fleming, N. D., & Mills, C. (1992). Not another inventory, rather a catalyst for reflection. To Improve the Academy, 11, 137.
|
[19]
|
French, B. F., Immekus J. C., & Oakes, W. (2003). A structural model of engineering students success and persistence. Proceedings of Frontiers in Education Annual Conference, Boulder, 5-8 November 2003, 19-24
|
[20]
|
Griffin, J. (2008). Distance learning technologies and writing center conferences: A comparative analysis of two methods for delivering consultations at a distance. Ph.D. Dissertation, Louisville, KY: University of Louisville.
|
[21]
|
Harlow, J. E. (2006). Social integration, motivational orientation, and self-regulated learning strategies of online versus face-to-face theological seminary biblical language students. Ph.D. Dissertation, Greensboro, NC: The University of North Carolina at Greensboro.
|
[22]
|
Hagedorn, L. (2006). How to define retention: A new look at an old problem. http://honolulu.hawaii.edu/intranet/committees/rrc/pdf/How_To_Define%20Retention.pdf
|
[23]
|
Harris, T. (2010). Enrollment management professionals in community colleges: An exploratory study of their influence on student recruitment and retention. Ph.D. Dissertation, Minneapolis, MN: Walden University.
|
[24]
|
Heyman, E. (2010). Overcoming student retention issues in higher education online programs: A Delphi study. Ed.D. Dissertation, Phoenix, AZ: University of Phoenix.
|
[25]
|
Houle, B. J. (2004). Adult student persistence in Web-based education. Ph.D. Dissertation, New York: New York University.
|
[26]
|
Jiang, M., & Ting, E. (2000). A study of factors influencing students’ perceived learning in a web-based course environment. International Journal of Educational Telecommunications, 6, 317-338.
|
[27]
|
Kay, S. (2009). Student graduation studies in online education. Ed.D. Dissertation, Philadelphia, PA: University of Pennsylvania.
|
[28]
|
Kember, D. (1989). A longitudinal-process model of drop-out from distance education. The Journal of Higher Education, 60, 278-301. http://dx.doi.org/10.2307/1982251
|
[29]
|
Kember, D. (1995). Open learning courses for adults: A model of student progress. Englewood Cliffs, NJ: Educational Technology Publications.
|
[30]
|
Kember, D., Murphy, D., Siaw, I., & Yuen, K. S. (1991). Towards a causal model of student progress in distance education. American Journal of Distance Education, 5, 3-15. http://dx.doi.org/10.1080/08923649109526742
|
[31]
|
Kember, D., Lai, T., Murphy, D., Siaw, I., & Yuen, K. S. (1992). Student progress in distance education: Identification of explanatory constructs. British Journal of Educational Psychology, 62, 285-298. http://dx.doi.org/10.1111/j.2044-8279.1992.tb01023.x
|
[32]
|
Kember, D., Lai, T., Mlurphy, D., Siaw, I., & Yuen, K. (1994). Student progress in distance education courses: A replication study. Adult Education Quarterly, 45, 286-301. http://dx.doi.org/10.1177/0741713694045001003
|
[33]
|
Kember, D., Lai, T., Mlurphy, D., Siaw, I., & Yuen, K. (1995). Student progress in distance education. A handbook for: The DESP inventory and the interview schedule. Unpublished Manuscript, Hong Kong: Hong Kong Polytechnic University.
|
[34]
|
Kord, J. (2008). Understanding the Facebook Generation: A study of the relationship between online social networking and academic and social integration and intentions to re-enroll. Ph.D. Dissertation, Lawrence, KS: University of Kansas.
|
[35]
|
Lei, S., & Gupta, R. (2010). College distance education courses: Evaluating benefits and costs from institutional, faculty and students’ perspectives. Education, 130, 616-631.
|
[36]
|
Lint, A. (2011). The impact of student progress factors on student persistence in E-learning. Dissertation 2011, Cypress, CA: TUI University, UMI/ProQuest.
|
[37]
|
Mandinach, E. B. (2005). The development of effective evaluation methods for E-learning: A concept paper and action plan. Teachers College Record, 107, 1814-1835. http://dx.doi.org/10.1111/j.1467-9620.2005.00543.x
|
[38]
|
National Center for Education Statistics website. Distance Education at Degree-Granting Postsecondary Institutions: 2006-2007. Postsecondary Education Quick Information System. http://nces.ed.gov/pubs2009/2009044.pdf
|
[39]
|
Nichols, M. (2010). Student perceptions of support services and the influence of targeted interventions on retention in distance education. Distance Education, 31, 93-113. http://dx.doi.org/10.1080/01587911003725048
|
[40]
|
Perantoni, E. (2010). Course design based on the Kolb learning style as it relates to student success in online classes. Ed.D. Dissertation, St. Charles, MO: Lindenwood University.
|
[41]
|
Porta-Merida, S. (2009). Online learning success: Underlying constructs affecting student attrition. Ph.D. Dissertation, Boca Raton, FL: Lynn University.
|
[42]
|
Riffell, S., & Sibley, D. (2005). Using web-based instruction to improve large undergraduate biology courses: An evaluation of a hybrid course format. Computer and Education, 44, 217-235. http://dx.doi.org/10.1016/j.compedu.2004.01.005
|
[43]
|
Savage, T. (2010). Examination of learner autonomy and student persistence in community college. Ed.D. Dissertation, Washington, DC: The George Washington University.
|
[44]
|
Senhouse, S. (2008). How to keep them hooked: A study of social integration and retention among distance learners. Ph.D. Dissertation, St. Minneapolis, MN: Capella University.
|
[45]
|
Smith, H. (2009). Asynchronous online instruction: Generation and validation of a program evaluation instrument. Ed.D. Dissertation, Malibu, CA: Pepperdine University.
|
[46]
|
Spady, W. (1971). Dropouts from higher education: Toward an empirical mode. Interchange, 2, 38-62. http://dx.doi.org/10.1007/BF02282469
|
[47]
|
Strevy, S. (2009). Persistence of students in RNBS completion online programs. Ph.D. Dissertation, Bloomington, IN: Indiana University.
|
[48]
|
Stuart, G. R. (2010). A benefit/cost analysis of three student enrollment behaviors at a community college: Dropout, transfer and completion of an associate’s degree/certificate. Ph.D. Dissertation, Cleveland, OH: Cleveland State University.
|
[49]
|
Thompson, E. (1999). Can the distance education student progress (DESP) inventory be used as a tool to predict attrition in distance education? Higher Education Research & Development, 18, 77-78. http://dx.doi.org/10.1080/0729436990180106
|
[50]
|
Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45, 89-125. http://dx.doi.org/10.3102/00346543045001089
|
[51]
|
Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition. Chicago, IL: The University of Chicago Press.
|
[52]
|
Tinto, V. (1999). Taking retention seriously: Rethinking the first year of college. NACADA Journal, 19, 5-9. http://dx.doi.org/10.12930/0271-9517-19.2.5
|
[53]
|
Vuong, M., Brown-Welty, S., & Tracz, S. (2010). The effects of selfefficacy on academic success of first-generation college sophomore students. Journal of College Student Development, 51, 50-64. http://dx.doi.org/10.1353/csd.0.0109
|
[54]
|
Weidman, J. C. (1985). Retention of nontraditional students in postsecondary education. Chicago, IL: The Annual Meeting of the American Education Research Association,
|
[55]
|
Woosley, S., & Miller, A. (2009). Integration and institutional commitment as predictors of college student transition: Are third week indicators significant? College Student Journal, 43, 1260-1271.
|