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Evaluating change in interagency collaboration of a state-level interagency education team: a social network approach within a utilization-focused framework

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Abstract

Improving collaboration among organizations is a goal of interagency educational teams, but collaboration is typically thought of as an ambiguous concept that cannot be quantified. To assess the collaborative strength of a state-level interagency team in a Midwestern state, team members completed the Levels of Collaboration Scale (Frey et al., American Journal of Evaluation 27(3):383, 2006) for three consecutive years. The team members then utilized the results of the social network analysis to support and sustain collaborative efforts. Findings revealed that the number of partnerships increased and the depth of collaboration expanded across the 3 years. Social network analysis results were utilized to develop collaboration strategies, thus influencing the expansion of the network across the 3-year period.

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References

  • Atteberry, A., & Bryk, A. S. (2010). Centrality, connection, and commitment: The role of social networks in a school-based literacy initiative. In A. Daly (Ed.), Social network theory and educational change (pp. 51–76). Cambridge: Harvard Education Press.

    Google Scholar 

  • Bloxham, S. (1997). The contribution of interagency collaboration to the promotion of young people’s sexual health. Health Education Research, 12(1), 91.

    Article  Google Scholar 

  • Carolan, B. V. (2014). Social network analysis and education: Theory, methods & application. Thousand Oaks: Sage.

    Google Scholar 

  • Coburn, C. E., Chio, L., & Mata, W. (2010). “I would go to her because her mind is math”: Network formation in the context of a district-based mathematics reform. In A. Daly (Ed.), Social network theory and educational change (pp. 51–76). Cambridge: Harvard Education Press.

    Google Scholar 

  • Cole, R. P., & Weinbaum, E. H. (2010). Changes in attitude: Peer influence in high school reform. In A. Daly (Ed.), Social network theory and educational change (pp. 51–76). Cambridge: Harvard Education Press.

    Google Scholar 

  • Cross, J. E., Dickmann, E., Newman-Gonchar, R., & Fagan, J. M. (2009). Using mixed-method design and network analysis to measure development of interagency collaboration. American Journal of Evaluation, 30(3), 310.

    Article  Google Scholar 

  • Durland, M. M., & Fredericks, K. A. (2005). An introduction to social network analysis. New Directions for Evaluation, 107, 5–13.

    Article  Google Scholar 

  • Feld, S., & Carter, W. C. (2002). Detecting measurement bias in respondent reports of personal networks. Social Networks, 24, 365–383.

    Article  Google Scholar 

  • Fetterman, D. M. (1994). Empowerment evaluation. Evaluation Practice, 15(1), 1–15.

    Article  Google Scholar 

  • Fetterman, D. M. (2013). Empowerment evaluation: Learning to think like an evaluator. In M. C. Alkin (Ed.), Evaluation roots: A wider perspective of theorists’ views and influences (pp. 304–322). Thousand Oaks: Sage.

    Google Scholar 

  • Frank, K. A., Zhao, Y., & Borman, K. (2004). Social capital and the diffusion of innovations within organizations: The case of computer technology in schools. Sociology of Education, 77, 148–171.

    Article  Google Scholar 

  • Freeman, L. C., & Romney, A. K. (1987). Words, deeds, and social structure: A preliminary study of the reliability of informants. Human Organization, 46, 330–334.

    Google Scholar 

  • Frey, B. B., Lohmeier, J. H., Lee, S. W., & Tollefson, N. (2006). Measuring collaboration among grant partners. American Journal of Evaluation, 27(3), 383.

    Article  Google Scholar 

  • Friedman, S. R., Reynolds, J., Quan, M. A., Call, S., Crusto, C. A., & Kaufman, J. S. (2007). Measuring changes in interagency collaboration: An examination of the Bridgeport Safe Start Initiative. Evaluation and Program Planning, 30(3), 294–306.

    Article  Google Scholar 

  • Gardner, S. (1990). Failure by fragmentation. Equity and Choice, 6(2), 4–12.

    Google Scholar 

  • Gregson, J., Sowa, M., & Flynn, H. K. (2011). Evaluating form and function of regional partnerships: Applying social network analysis to the Network for a Healthy California, 2001–2007. Journal of Nutrition Education and Behavior, 43, 67–74.

    Article  Google Scholar 

  • Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Retrieved from http://faculty.ucr.edu/~hanneman/.

  • Himmelman, A. T. (1998). Collaboration for a change. Definitions, models, roles and a guide for collaborative process. Minneapolis: Hubert Humphrey Institute of Public Affairs, University of Minnesota.

    Google Scholar 

  • Holden, E. W., Friedman, R. M., & Santiago, R. L. (2001). Overview of the national evaluation of the Comprehensive Community Mental Health Services for children and their families program. Journal of Emotional and Behavioral Disorders, 9(1), 4–12.

    Article  Google Scholar 

  • Hoppe, B., & Reinelt, C. (2010). Social network analysis and the evaluation of leadership networks. The Leadership Quarterly, 21, 600–619.

    Article  Google Scholar 

  • Johnson, L. J., Zorn, D., Yung Tam, B. K., Lamontagne, M., & Johnson, S. A. (2003). Stakeholders’ views of factors that impact successful interagency collaboration. Exceptional Children, 69(2), 195–209.

    Article  Google Scholar 

  • Kleinhammer-Tramill, P. J., Rosenkoetter, S. E., & Tramill, J. L. (1994). Early interventions and secondary/transition services: Harbingers of change in education. Focus on Exceptional Children, 27, 1–14.

    Google Scholar 

  • Knoke, D., & Yang, S. (2008). Social network analysis. Thousand Oaks: Sage.

    Google Scholar 

  • Lomi, A., Snijders, T. A., Steglich, C. E., & Torlo, V. J. (2011). Why are some more peer than others? Evidence from a longitudinal study of social networks and individual academic performance. Social Science Research, 40, 1506–1520.

    Article  Google Scholar 

  • Marsden, P. V. (2011). Survey methods for network data. In J. Scott & P. J. Carrington (Eds.), The Sage handbook of social network analysis (pp. 370–388). Thousand Oaks: Sage.

    Google Scholar 

  • Patton, M. Q. (2007). The oral history of evaluation, part 5: An interview with Michael Quinn Patton. American Journal of Evaluation, 28, 102–114.

    Article  Google Scholar 

  • Patton, M. Q. (2008). Utilization-focused evaluation (4th ed.). Thousand Oaks: Sage.

    Google Scholar 

  • Patton, M. Q. (2013). The roots of utilization-focused evaluation. In M. C. Alkin (Ed.), Evaluation roots: A wider perspective of theorists’ views and influences (pp. 293–303). Thousand Oaks: Sage.

    Google Scholar 

  • Penuel, W. R., Frank, K. A., & Krause, A. (2010). Between leaders and teachers: Using social network analysis to examine effects of distributed leadership. In A. Daly (Ed.), Social network theory and educational change (pp. 51–76). Cambridge: Harvard Education Press.

    Google Scholar 

  • Robins, G. (2013). A tutorial on methods for the modeling and analysis of social network data. Journal of Mathematical Psychology, 57, 261–274.

    Google Scholar 

  • Thompson, D., Socolar, R., Brown, L., & Haggerty, J. (2002). Interagency collaboration in seven North Carolina counties. Journal of Public Health Management and Practice, 8(5), 55.

    Article  Google Scholar 

  • Thomson, A. M., Perry, J. L., & Miller, T. K. (2007). Conceptualizing and measuring collaboration. Journal of Public Administration Research and Theory, 19, 23–56.

    Article  Google Scholar 

  • Valente, T. W. (2010). Social networks and health: Models, methods, and applications. New York: Oxford University Press.

    Book  Google Scholar 

  • Van den Bossche, P., & Segers, M. (2012). Transfer of training: Adding insight through social network analysis. Educational Research Review, 8, 37–47.

    Article  Google Scholar 

  • Wandersman, A., Snell-Johns, J., Lentz, B., Fetterman, D. M., Keener, D., Livet, M., et al. (2005). The principles of empowerment evaluation. In D. M. Fetterman & A. Wandersman (Eds.), Empowerment evaluation principles in practice (pp. 27–41). New York: Guilford.

    Google Scholar 

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Correspondence to Amy Gaumer Erickson.

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Noonan, P., Gaumer Erickson, A., McCall, Z. et al. Evaluating change in interagency collaboration of a state-level interagency education team: a social network approach within a utilization-focused framework. Educ Asse Eval Acc 26, 301–316 (2014). https://doi.org/10.1007/s11092-014-9193-2

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  • DOI: https://doi.org/10.1007/s11092-014-9193-2

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