A social network analysis of student retention using archival data

Social Psychology of Education

Volumn 15, Issue 2, 2012, Pages 165-180

  Eckles, James E ^a   Stradley, Eric G ^b  

^a RHODES COLLEGE   (United States)

^b Welch Consulting   (United States)

Author keywords

Attrition; Density; Higher education; Liberal arts; Retention; Social network

Indexed keywords

EID: 84861232004     PISSN: 13812890     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11218-011-9173-z     Document Type: Article

References (18)

1. Carrington, P. J., Scott, J., Wasserman, S. (eds.) (2005) Models and methods in social network analysis. Cambridge University Press, Cambridge.
2. Cartwright D., Harary F. (1956) Structural balance: A generalization of Heider's theory. Psychological Review 63(5): 277-293.
3. Cho H., Gay G., Davidson B., Ingraffea A. (2007) Social networks, communication styles, and learning performance in a CSCL community. Computers and Education 49(2): 309-329.
4. Christakis N. A., Fowler J. H. (2008) The spread of obesity in a large social network over 32 years. The New England Journal of Medicine 357(4): 370-379.
5. Dawson S. (2008) A student of the relationship between student social networks and sense of community. Educational Technology & Society 11(3): 224-238.
6. Dawson S. (2010) "Seeing" the learning community: An exploration of the development of a resource for monitoring online student networking. British Journal of Educational Technology 41(5): 736-752.
7. de Nooy W., Mrvar A., Batagelj V. (2005) Exploratory social network analysis with Pajek. Cambridge University Press, Cambridge.
8. Durkheim E. (1951) Suicide: A study in sociology. The Free Press, New York.
9. Eggens L., van der Werf M. P. C., Bosker R. J. (2008) The influence of personal networks and social support on study attainment of students in university education. Higher Education 55(5): 553-573.
10. Everett M. G., Borgatti S. P. (2005) Extending centrality. In: Carrington P. J., Scott J., Wasserman S. (eds.) Models and methods in social network analysis. Cambridge University Press, Cambridge, pp 57-76.
11. Fruchterman T. M. J., Reingold E. M. (1991) Graph drawing by force directed placement. Software-Practice and Experience 21: 1129-1164.
12. Hanson G. R., Taylor R. G. (1970) Interaction of ability and personality: Another look at the drop-out problem in an institute of technology. Journal of Counseling Psychology 17: 540-545.
13. Heider F. (1946) Attitudes and cognitive organization. Journal of Psychology 21: 107-112.
14. Marsden P. V. (2005) Recent developments in network measurement. In: Carrington P. J., Scott J., Wasserman S. (eds.) Models and methods in social network analysis. Cambridge University Press, Cambridge, pp 8-30.
15. Reffay C., Chanier T. (2003) How social network analysis can help to measure cohesion in collaborative distance-learning. In: Wasson B. B., Ludvigsen S., Hoppe U. (eds.) Designing for change in networked learning environments: Proceedings of the international conference on computer support for collaborative learning 2003. Kluwer, Dordrect, pp 493-502.
16. Rizzuto T. E., LeDoux J., Hatala J. P. (2009) It's not just what you know, it's who you know: Testing a model of the relative importance of social networks to academic performance. Social Psychology of Education 12(2): 175-189.
17. Thomas S. L. (2000) Ties that bind: A social network approach to understanding student integration and persistence. The Journal of Higher Education 71(5): 591-615.
18. Tinto V. (1975) Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research 5(1): 9-125.