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Dillman, D.A., J.D. Smyth, and L.M. Christian. (2008). Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method, Third Edition. Hoboken, NJ: Wiley.

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References American Association for Public Opinion Research Cell Phone Task Force. (2010). New Considerations for Survey Researchers When Planning and Conducting RDD Telephone Surveys in the U.S. with Respondents Reached Via Cell Phone Numbers. Available: http:// aapor.org/AM/Template.cfm?Section=Cell_Phone_Task_Force&Template=/CM/ ContentDisplay.cfm&ContentID=2818 [September 2011]. de Leeuw, E.D. (2005). To mix or not to mix data collection modes in surveys. Journal of Official Statistics 21(2):233–255. Dillman, D.A., and J.D. Smyth. (2007). Design effects in the transition to web-based surveys. American Journal of Preventive Medicine 32(5):S90–S96. Dillman, D.A., J.D. Smyth, and L.M. Christian. (2008). Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method, Third Edition. Hoboken, NJ: Wiley. French, D.K. (2007). The Energy Consumption Data Program in EIA: A Historical Sum- mary. Unpublished manuscript. Gold, R., and R.N. Elliot. (2010). Where Have All the Data Gone? The Crisis of Missing Energy Efficiency Data. Washington, DC: American Council For An Energy-Efficient Economy. Available: http://www.aceee.org/research-report/e101 [October 2011]. Groves, R.M. and L. Lyberg. (2010). Total survey error: Past, present, and future. Public Opinion Quarterly 74(5):849–879. Link, M.W., M. Battaglia, M.R. Frankel, L. Osborn, and A.H. Mokdad. (2008). A compari- son of address-based sampling (ABS) versus random-digit dialing (RDD) for general population surveys. Public Opinion Quarterly 72(1):6–27. Lynn, P., ed. (2009). Methodology of Longitudinal Surveys. Hoboken, NJ: Wiley. Mansoor, A. (2008). Energy Efficiency: Expanded Scale of Opportunities. Electrical Power Research Institute Seminar Slides. Available: http://mydocs.epri.com/docs/Summer Seminar08/Presentations/S2C%20Mansoor.ppt [September 2011]. Meier, A., L. Rainer, and S. Greenberg. (1992). Miscellaneous electrical energy use in homes. Energy 17(5):509–518. 93

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94 EFFECTIVE TRACKING OF BUILDING ENERGY USE Messer, B.L., and D.A. Dillman. (2011). Surveying the general public over the Internet using address-based sampling and mail contact procedures. Public Opinion Quarterly 75(3):429–457. Michaels, J. (2010). The Commercial Buildings Energy Consumption Survey: An Overview. Presentation to the Panel on Redesigning the Commercial Buildings and Residential Energy Consumption Surveys of the Energy Information Administration, February 1, National Research Council, Washington, DC. Millar, M.M., and D.A. Dillman. (2011). Improving response to web and mixed-mode surveys. Public Opinion Quarterly 75(2):249–269. National Research Council. (2002). Making the Nation Safer: The Role of Science and Tech- nology in Countering Terrorism. Committee on Science and Technology for Countering Terrorism. Washington, DC: The National Academies Press. National Research Council. (2009). Principles and Practices for a Federal Statistical Agency, Fourth Edition. Committee on National Statistics. C.F. Citro, M.E. Martin, and M.L. Straf, eds. Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press. Pfund, N., and B. Healey. (2011). What Would Jefferson Do? The Historical Role of Federal Subsidies in Shaping America’s Energy Future. Available: http://www.dblinvestors.com/ documents/DBL_energy_subsidies_paper.pdf [October 2011]. Roth, K., K. McKenney, and J. Brodrick. (2008). Emerging technologies: Small devices, big loads. ASHRAE Journal 50(6):64–65. Available: http://bookstore.ashrae.biz/journal/ journal_s_article.php?articleID=829 [September 2011]. Schwarz, N. (1996). Cognition and Communication: Judgmental Biases, Research Methods, and the Logic of Conversation. Mahwah, NJ: Lawrence Erlbaum Associates. Smyth, J.D., D.A. Dillman, L.M. Christian, and A.C. O’Neill. (2010). Using the Internet to survey small towns and communities: Limitations and possibilities in the early 21st century. American Behavioral Scientist 53(9):1423–1448. U.S. Department of Energy. (2011a). Department of Energy Strategic Plan. Available: http:// www.energy.gov/media/DOE_StrategicPlan.pdf [October 2011]. U.S. Department of Energy. (2011b). Budget Justifications and Supporting Documents. Avail- able: http://www.cfo.doe.gov/budget/12budget/index12.html [September 2011]. U.S. Energy Information Administration. (2009). State Energy Data Needs Assessment. Available: http://www.eia.gov/oiaf/servicerpt/energydata/pdf/sremeu(2009)01.pdf [December 2011]. U.S. Energy Information Administration. (2011a). International Energy Statistics. Avail- able: http://www.eia.gov/cfapps/ipdbproject/IEDIndex3.cfm?tid=44&pid=44&aid=2 [September 2011]. U.S. Energy Information Administration. (2011b). Total Energy Consumption, Price and Expenditure Estimates, 2009. Available: http://www.eia.gov/states/sep_fuel/html/pdf/ fuel_te.pdf [September 2011]. U.S. Energy Information Administration. (2011c). Annual Energy Outlook 2011 with Projections to 2035. Available: http://www.eia.gov/forecasts/aeo/pdf/0383(2011).pdf [September 2011]. U.S. Energy Information Administration. (2011d). How Dependent Are We on Foreign Oil? Available: http://www.eia.gov/energy_in_brief/foreign_oil_dependence.cfm [Septem- ber 2011].

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95 REFERENCES U.S. Energy Information Administration. (2011e). Commercial Buildings Energy Consumption Survey: CBECS Status. Available: http://www.eia.gov/emeu/cbecs/ [September 2011]. Weisberg, H. (2005). The Total Survey Error Approach: A Guide to the New Science of Survey Research. Chicago, IL: University of Chicago Press.

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