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Yan Filardo, M. (2008). Good buildings, better schools: An economic stimulus opportunity with long- term benefits. Briefing paper # 216. Washington, DC: Economic Policy Institute. Hunter, R. C. (2009). The public school infrastructure problem: Deteriorating buildings and deferred maintenance. Reston, VA: Association of School Business Officials International. Ilsley, P. S. (2002). The use of the moving average forecasting, linear trend forecasting, and exponential smoothing forecasting techniques in education. Dissertation Abstracts International: Section A. The Sciences and Engineering, 64(06), 2013. Lawrence, B. K. (2001). Effects of state policies on facilities planning and construction in rural districts. Washington, DC: United States Government. Lawrence, B. K. (2003). Save a penny, lose a school: The real cost of deferred maintenance. Policy brief series on rural education. Washington, DC: Rural School and Community Trust. Montgomery, M. R. (2010). Small rural school districts in Nebraska: A case study of challenges and solutions. (Doctoral dissertation). University of Nebraska-Lincoln, Lincoln, NE. National Center for Education Statistics. (1999). Age of public schools based upon years since construction of the main instructional building(s), years since most recent major renovation, and functional age of the school, by school characteristics: 1999. Navigating resources for rural schools. Retrieved from http://necs.ed.gov/surveys/ruraled/data/Age_of_Schools.asp National Center for Education Statistics. (2000). Condition of America’s school facilities: 1999. Washington, DC: U.S. Government Printing Office. National Center for Education Statistics. (2002). Digest of education statistics tables and figures. Retrieved from http://nces.ed.gov/programs/digest/d02/dt419.asp National Center for Education Statistics. (2005). Overcrowding. Retrieved from http://nces.ed.gov/surveys/frss/publications/2000032/index.asp?sectionid=8 Neblock, C. S. (1996). The conceptualization, development, and evaluation of a national categorical enrollment projection model. (Doctoral dissertation, Texas Tech University) Retrieved from http://repositories.tdl.org/ttu- ir/bitstream/handle/2346/18483/31295011192100.pdf?sequence=1 North Carolina Department of Public Instruction. (2006). Elementary, middle, and high school typical space profile. North Carolina PDI. Retrieved from http://www.ncpublicschools.org/docs/src_communications/sample/district.pdf Pennsylvania Department of Education. (2003). Academic standards for the arts and humanities. Retrieved from http://www.pde.state.pa.us/stateboard_ed/lib/stateboard_ed/art.pdf Pennsylvania Department of Education. (2005). The enrollment projection model. Retrieved from http://www.education.state.pa.us/portal/server.pt/community/enrollment_ projections/18805 Peters, S. R. (1997). A teaching case for developing a facility utilization plan. Columbia University Teachers College, New York, NY. Sack, J. L. (2004). Costs climb on materials for schools. Education Week, 24(1), 1-24. Schaefer, S. M. (2010). Creating a program for transforming school facilities to become centers for their communities. In Universities and Community Schools, 8(1-2) 63-68. Sheets, M. E. (2009). The relationship between the condition of school facilities and certain educational outcomes, particularly in rural public high schools in Texas. (Doctoral dissertation). Texas Tech University: Lubbock, TX. 35 Vol. 3, No. 1, 2012


ACEF Journal Vol 3 Issue 1 December 2012
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