Energy Practice Clusters of Virginia Limited-Resource Households

References

• Applied Public Policy Research Institute for Study and Evaluation (APPRISE). (2005, July). LIHEAP energy burden evaluation study - Final report. Princeton, NJ: APPRISE.
   Google Scholar
• Barr, S.,Gilg, A.W.,& Ford, N. (2005).The household energy gap: Examining the divide between habitual- and purchase-related conservation behaviors. Energy Policy, 33, 1A25-1444.
   Google Scholar
• Berger, P. S., & Drennen, N. H. (1985). Predictors of consumption cutbacks in response to increased energy costs. Journal of Consumer Studies and Home Economics, 9, 185-205.
   Google Scholar
• Bhattacharya J., DeLeire,T., Haider, S., & Currie, J. (2003). Heat or eat? Cold-weather shocks and nutrition in poor American families. American Journal of Public Health, 93(7), 1149-1154.
   Google Scholar
• Black, J. S., Sterm, P., & Elworth, J. T. (1985). Personal and contextual influences on household energy adaptation. Journal of Applied Social Psychology, 28(8), 675-697.
   Google Scholar
• Collins, J.M. (2009, January) A primer on foreclosure intervention. Presentation at the Cooperative Extension Western District Meeting. Wisconsin Cooperative Extension.
   Google Scholar
• Crites, A.M.,& Haldeman,V. A. (1994).Targeting community energy education programs. Advancing the Consumer Interest, 6(2), 21-25.
   Google Scholar
• Fisher, Sheehan & Colton. (2006, April). On the brink 2005: The home energy affordability gap. Belmont, MA: Fisher, Sheehan & Colton.
   Google Scholar
• Fisher, Sheehan & Colton. (2009, April). On the brink 2008: The home energy affordability gap. Belmont, MA: Fisher, Sheehan & Colton.
   Google Scholar
• Food Research and Action Center (FRAC). (2009, March). Heat and eat: Using federal nutrition programs to soften low-income households’ food/fuel dilemma. Washington, DC: Food Research and Action Center.
   Google Scholar
• Hair, J. F., Anderson, R. E.,Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Howell, D. C. (2002). Statistical methods for psychology (5th ed.). Pacific Grove, CA: Duxbury.
   Google Scholar
• Junk, V., Jones, J., & Kessel, E. (1988). Home energy costs and the elderly. Housing and Society, 15(l), 15-29.
   Google Scholar
• Kalata, J. (2005, November). The effects of energy cost on U.S. adults. Washington, DC: AARP.
   Google Scholar
• Lee, H., Goss, R. C, & Beamish, J. O. (2007). Influence of lifestyle on housing preferences of multifamily housing residents . Housing and Society, 34(1),11-30.
   Google Scholar
• Morrison, B. M., & Gladhart, P. M. (1976). Energy and families: The crisis and the response. Journal of Home Economics, 68, 15-18.
   Google Scholar
• National Energy Assistance Directors Association (NEADA). (2004, April). 2004 National energy assistance survey: Final report. Washington, DC: National Energy Assistance Directors Association.
   Google Scholar
• National Energy Assistance Directors Association (NEADA). (2005, September). 2005 National energy assistance survey: Final report. Washington, DC: National Energy Assistance Directors Association.
   Google Scholar
• National Energy Assistance Directors Association (NEADA). (2009, April). 2008 National energy assistance survey: Final report. Washington, DC: National Energy Assistance Directors Association
   Google Scholar
• Painter, J., Semenik, R., &Belk, R. (1983). Is there a generalized conservation ethic? A comparison of the determinants of gasoline and home heating energy conservation. Journal of Economic Psychology, 3, 317-331.
   Google Scholar
• Pye, M. (1996). Energy efficiency programs for low-income households: Successful approaches for a competitive environment. Washington, DC: American Council for an Energy-efficient Economy (ACEEE).
   Google Scholar
• Ritchie, J. R., McGougall, G. H., & Claxton, J. D. (1981). Complexities of household energy consumption and conservation. Journal of Consumer Research, 8 , 233-242.
   Google Scholar
• Roper Starch Worldwide. (2001, May). Roper Starch/Sears energy study. New York: Roper Starch Worldwide.
   Google Scholar
• Shugoll Research. (2003, July). Study measuring attitudes and behavior related to energy use and conservation. Bethesda, MD: Alliance to Save Energy.
   Google Scholar
• Tienda, M., & Aborampah, O-M. (1981). Energy related adaptations in low-income nonmetropolitan Wisconsin counties. Journal of Consumer Research, 8(3), 265-270.
   Google Scholar
• Trisko, E. M. (2007). Energy cost impacts on American families, 1997-2007. Alexandria, VA: Americans for Balanced Energy Choices.
   Google Scholar
• U.S. Census Bureau. (2008). B25069: Inclusion of utilities in rent, American Community Survey. Washington,DC: U.S. Census Bureau.
   Google Scholar
• Williams, S. (2008). Bringing home the benefits of energy efficiency to low-income households: The case for national commitment. Columbia, MD: Enterprise Community Partners.
   Google Scholar