References

American Association for Public Opinion Research 2006 Standard definitions: Final dispositions of case codes and outcome rates for surveys. Lenexa, KS: Author. Available: http://aapor.org/standards.asp.

Baker, R.P., N.N. Bradburn, and R.A. Johnson 1995 Computer-assisted personal interviewing: An experimental evaluation of data quality and cost. Journal of Official Statistics, 11, 413-431.

Biemer, P., and G. Forsman 1992 On the quality of reinterview data with application to the Current Population Survey. Journal of the American Statistical Association, 87(420), 915.

Binder, D., M. Kovacevic, and G. Roberts 2004 Design-based methods for survey data: Alternative uses of estimating functions. In ASA Proceedings of the Joint Statistical Meetings (pp. 3301-3312). Alexandria, VA: American Statistical Association.

Bosecker, R., and W. Kelly 1975 Summary of results from Nebraska Survey Concept Study. Washington, DC: National Agricultural Statistics Service.

Bradburn, N.M., S. Sudman, E. Blair, and C. Stocking 1989 Question threat and response bias. In E. Singer and S. Presser (eds.), Survey Research Methods: A Reader (pp. 371-384). Chicago: University of Chicago Press.

Breckling, J.U., R.L. Chambers, A.H. Dorfman, S.M. Tam, and A.H. Welsh 1994 Maximum likelihood inference from sample survey data. International Statistical Review, 62, 349-363.

Carrington, W., J. Eltinge, and K. McCue 2000 An economist’s primer on survey samples. Discussion Paper CES-WP-00-15. Center for Economic Studies, U.S. Census Bureau, Washington, DC.

Chambers, R.L. 1986 Design-adjusted parameter estimation. Journal of the Royal Statistical Society, Series A: General 149, 161-173.



The National Academies | 500 Fifth St. N.W. | Washington, D.C. 20001
Copyright © National Academy of Sciences. All rights reserved.
Terms of Use and Privacy Statement



Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.

OCR for page 170
Understanding American Agriculture: Challenges for the Agricultural Resource Management Survey References American Association for Public Opinion Research 2006 Standard definitions: Final dispositions of case codes and outcome rates for surveys. Lenexa, KS: Author. Available: http://aapor.org/standards.asp. Baker, R.P., N.N. Bradburn, and R.A. Johnson 1995 Computer-assisted personal interviewing: An experimental evaluation of data quality and cost. Journal of Official Statistics, 11, 413-431. Biemer, P., and G. Forsman 1992 On the quality of reinterview data with application to the Current Population Survey. Journal of the American Statistical Association, 87(420), 915. Binder, D., M. Kovacevic, and G. Roberts 2004 Design-based methods for survey data: Alternative uses of estimating functions. In ASA Proceedings of the Joint Statistical Meetings (pp. 3301-3312). Alexandria, VA: American Statistical Association. Bosecker, R., and W. Kelly 1975 Summary of results from Nebraska Survey Concept Study. Washington, DC: National Agricultural Statistics Service. Bradburn, N.M., S. Sudman, E. Blair, and C. Stocking 1989 Question threat and response bias. In E. Singer and S. Presser (eds.), Survey Research Methods: A Reader (pp. 371-384). Chicago: University of Chicago Press. Breckling, J.U., R.L. Chambers, A.H. Dorfman, S.M. Tam, and A.H. Welsh 1994 Maximum likelihood inference from sample survey data. International Statistical Review, 62, 349-363. Carrington, W., J. Eltinge, and K. McCue 2000 An economist’s primer on survey samples. Discussion Paper CES-WP-00-15. Center for Economic Studies, U.S. Census Bureau, Washington, DC. Chambers, R.L. 1986 Design-adjusted parameter estimation. Journal of the Royal Statistical Society, Series A: General 149, 161-173.

OCR for page 170
Understanding American Agriculture: Challenges for the Agricultural Resource Management Survey Charlton, J. 2007 Towards effective statistical editing and imputation strategies—Findings of the Euredit Project. Chapter 1, Editing and imputation. Available: http://www.cs.york.ac.uk/euredit/ Claassen, R. 2006 Conservation policy analysis with ARMS: Challenges and opportunities. September 28. Conrad, F.G., and M.F. Schober 2000 Clarifying question meaning in a household telephone survey. Public Opinion Quarterly, 64, 1-28. Conrad, F.G., M.F. Schober, and W. Dijkstra (in press) Cues of communication difficulty in telephone interviews. In J.M. Lepkowski, C. Tucker, M. Brick, E. de Leeuw, L. Japec, P. Lavrakas, M. Link, and R. Sangster (eds.), Advances in telephone survey methodology. New York: Wiley. Council on Food, Agricultural and Resource Economics 2007 Improving information about America’s farms and ranches: A review of the Census of Agriculture. Washington, DC: Author. Covey, T., R. Green, C. Jones, J. Johnson, M. Morehart, R. Williams, C. McGath, A. Mishra, and R. Strickland 2005 Agricultural income and finance outlook. Economic Research Service, AIS-83, November. Culver, D., M. Tomiak, and R.D. Bollman 1991 High and low margin prairie grain and oilseed farms. Canadian Farm Economics, 23(1), 49-55. Curtin, R., S. Presser, and E. Singer 2000 Effects of response rate changes on the index of consumer sentiment. Public Opinion Quarterly, 64, 413-428. Dubman, R.W. 2000 Variance estimation with USDA’s farm costs and returns surveys and Agricultural Resource Management Study surveys. Staff paper no. AGES 00-01. Resource Economics Division, Economic Research Service, U.S. Department of Agriculture. DuMouchel, W.H., and G.J. Duncan 1983 Using sample survey weights in multiple regression analyses of stratified samples. Journal of the American Statistical Association, 78, 535-543. Economic Research Service 2003 The Economic Research Service’s information quality guidelines. Washington, DC: U.S. Department of Agriculture. Available: http://www.ers.usda.gov/AboutERS/QualityGuidelines3.pdf. 2005 Structure and finances of U.S. farms: 2005 family farm report. EIB-12. Washington, DC: U.S. Department of Agriculture. 2006a Structure and finances of U.S. farms: 2005 family farm report. May. Washington, DC: U.S. Department of Agriculture. 2006b Water and wetland resources. AREI, 2006 edition, July. Washington, DC: U.S. Department of Agriculture. 2007 Farm business and household survey data: Customized data summaries from ARMS. Washington, DC: U.S. Department of Agriculture. Available: http://www.ers.usda.gov/Data/ARMS/GlobalAbout.htm.

OCR for page 170
Understanding American Agriculture: Challenges for the Agricultural Resource Management Survey Eklund, B. 1991 Mobile computerized data entry and edit for the livestock prices received survey. Research Report No. SRB-91-10, National Agricultural Statistics Service, November. Washington, DC: U.S. Department of Agriculture. 1993 Computer assisted personal interviews: Experience and strategy. STB Research Report Number STB-93-01, February. National Agricultural Statistical Service. Washington, DC: U.S. Department of Agriculture. Esposito, J.L. 2003 A framework relating questionnaire design and evaluation processes to sources of measurement error. Federal Committee on Statistical Methodology. Available: http://www.fcsm.gov/03papers/Esposito2.pdf Federal Committee on Statistical Methodology 2001 Measuring and reporting sources of error in surveys. Statistical policy working paper, July 31. Fowler, F.J., and T.W. Mangione 1990 Standardized survey interviewing: Minimizing interviewer related error. Newbury Park, CA: Sage Publications. Fuller, W.A. 1984 Least squares and related analyses for complex survey designs. Survey Methodology, 10, 97-118. Gerling, M.W. 2005 Using handheld global positioning system receivers for Phase II of the Agricultural Resource Management Survey. National Agricultural Statistics Service, October. Washington, DC: U.S. Department of Agriculture. Golan, E., B. Krissoff, F. Kuchler, L. Calvin, K. Nelson, and G. Price 2004 Traceability in the U.S. food supply: Economic theory and industry studies. Agricultural Economic Report No. 830. Economic Research Service, March 2004. Washington, DC: U.S. Department of Agriculture, Available: http://www.ers.usda.gov/Publications/AER830/AER830fm.pdf. Groves, R. 1987 Research on survey data quality. Public Opinion Quarterly, 51, S156-S172. 2006 Nonresponse rates and nonresponse error in household surveys. Public Opinion Quarterly, 70(5), 637-645. Groves, R., S. Presser, and S. Dipko 2004 The role of topic interest in survey participation decisions. Public Opinion Quarterly, 68, 2-31. Hansen, L. 2006 Wetlands: Status and trends. In Agricultural resources and environmental indicators, 2006 edition (Chapter 2.3). Economic Research Service, July. Available: http://www.ers.usda.gov/Publications/AREI/EIB16/ Hanuschak, G.A., D. Atkinson, W.C. Iwig, and V. Tolomeo 1991 History of reinterview studies at NASS. Joint Statistical Meetings, August 22. Heckman, J.J. 1979 Sample selection bias as a specification error. Econometrica, 47(January), 153-161. Hellerstein, D., C. Nickerson, J. Cooper, P. Feather, D. Gadsby, D. Mullarkey, A. Tegene, and C. Barnard 2002 Farmland protection: The role of public preferences for rural amenities. Agricultural Economic Report No. 815. Economic Research Service. Available: http://www.ers.usda.gov/publications/aer815/aer815.pdf.

OCR for page 170
Understanding American Agriculture: Challenges for the Agricultural Resource Management Survey Hidiroglou, M., D. Drew, and G. Gray 1993 A framework for measuring and reducing nonresponse in surveys. Survey Methodology, 19, 81-94. Holt, D., T.M.F. Smith, and P.D. Winter 1980 Regression analysis of data from complex surveys. Journal of the Royal Statistical Society, Series A: General 143, 474-487. Hopkins, J., and R. Johansen 2004 Beyond environmental compliance: Stewardship as good business. Amber Waves, April. Horowitz, K., and M. Planting 2006 Concepts and methods of the U.S. input-output accounts. Bureau of Economic Analysis. Washington, DC: U.S. Department of Commerce. Available: http://bea.gov/bea/papers/IOmanual_092906.pdf Juster, F.T., and F.P. Stafford 1991 The allocation of time: Empirical findings, behavioral models and problems of measurement. Journal of Economic Literature, 29(June), 471-522. Juster, F.T., and J.P. Smith 1997 Improving the quality of economic data: Lessons from HRS and AHEAD. Journal of the American Statistical Association, 92, 1268-1278. Kalton, G. 1983 Models in the practice of survey sampling. International Statistical Review, 51, 175-188. Keeter, S., C. Miller, A. Kohut, R. Groves, and S. Presser 2000 Consequences of reducing nonresponse in a large national telephone survey. Public Opinion Quarterly, 64, 125-148. Kennickell, A.B. 1997 Using range techniques with CAPI in the 1995 Survey of Consumer Finances. Available: http://www.federalreserve.gov/pubs/oss/oss2/papers/rangepap0197pdf. Korn, E.L., and B.I. Graubard 1999 Analysis of health surveys. New York: John Wiley. Kott, P. 2003 A plan for coordinating surveys at the National Agricultural Statistics Service. In Proceedings of Statistics Canada Symposium 2003. Catalogue no. 11-522-XIE. Ottawa: Statistics Canada. Kott, P., and M. Fetter 1999 Using multiphase sampling to limit response burden across agricultural surveys. In Proceedings of the Survey Methods Section. Ottawa: Statistical Society of Canada. Lewandrowski, J., M. Peters, C. Jones, R. House, M. Sperow, M. Eve, and K. Paustian 2004 Economics of sequestering carbon in the U.S. agricultural sector. Economic Research Service Technical Bulletin No. 1909. Washington, DC: U.S. Department of Agriculture. Little, R.J.A. 2004 To model or not to model? Competing modes of inference for finite population sampling. Journal of the American Statistical Association, 99(466), 546-556. Little, R.J.A., and D.B. Rubin 2002 Statistical analysis with missing data, 2nd edition. Hoboken, NJ: Wiley. Lohr, S.L. 1999 Sampling: Design and analysis. Pacific Grove, CA: Duxbury Press.

OCR for page 170
Understanding American Agriculture: Challenges for the Agricultural Resource Management Survey Merkle, D., and M. Edelman 2002 Nonresponse in exit polls: A comprehensive analysis. In R. Groves, D. Dillman, J. Eltinge, and R.A. Little (eds.), Survey nonresponse (pp. 243-257). New York: Wiley. Moore, J., L. Stinson, and E. Welniak 1997 Income measurement error in surveys: A review. In M. Sirken, D. Herrmann, S. Schechter, N. Schwarz, J. Tanur, and R. Tourangeau (eds.), Cognition and survey research (pp. 155-174). New York: Wiley. National Agricultural Statistics Service 2005 Supporting statement, agriculture resource management, chemical use, and postharvest chemical use surveys. OMB No. 0535-0218. 2007a Information quality guidelines. Available: http://www.usda.gov/nass/nassinfo/infoguide.htm. 2007b Education and outreach: Research reports. Available: http://www.nass.usda.gov/Education_&_Outreach/Reseach_Reports/index.asp. 2007c Agricultural Resource Management Survey overview. Available: http://www.usda.gov/nass/nassinfo/surveyprograms/tables1.htm#agresource. 2007d Data and statistics: Special tabulations. Available: http://www.nass.usda.gov/Data_and_Statistics/Special_Tabulations/index.asp. National Association of State Departments of Agriculture 2007 NASDA organizational profile. Available: http://www2.nasda.org/NR/rdonlyres/DB09E55B-3101-475F-A665-423538F9EE83/992/NASDAOrganizationalProfile-Feb2007.pdf. Nathan, G., and T.M.F. Smith 1989 The effect of selection on regression analysis. In C.J. Skinner, D. Holt, and T.M.F. Smith (eds.), Analysis of complex surveys (pp. 149-163). New York: Wiley. Neas, K., J. Molina, J. Hardegree, and M.W. Gerling 2006 Using personal digital assistants for the 2004 Cotton Objective Yield Survey. National Agricultural Statistics Service, March. Nordberg, L. 1989 Generalized linear modeling of sample survey data. Journal of Official Statistics, 5, 223-239. Organisation for Economic Co-operation and Development 2003 Quality framework and guidelines for OECD statistical activities. Version 2003/1, October 17. Oh, H.L., and F.J. Scheuren 1983 Weighting adjustments for unit non-response. In W.G. Madow, I. Olkin, and D.B. Rubin (eds.), Incomplete data in sample surveys, Volume 2 (pp. 143-184). New York: Academic Press. Ott, K. 1999 Panel Plus Pilot Survey: Results from the 1998-1999 ARMS Panel Plus Pilot Survey. Research Division Research Report No. RD-99-05, December. Ott, K., and C. Crouse 2005 Professionally designed questionnaires: Do they collect better data? Proceedings of the American Statistical Association Section on Research Survey Methods, Alexandria, VA: American Statistical Association. Perry, C.R., J.C. Burt, and W.C. Iwig 1994 Redrawing the 1993 Farm Costs and Returns Survey list sample to reduce its overlap with three other 1993 surveys and the 1992 FCRS. ASA Proceedings of the Section on Survey Research Methods, 632-637. Pfeffermann, D. 1993 The role of sampling weights when modeling survey data. International Statistical Review, 61, 317-337.

OCR for page 170
Understanding American Agriculture: Challenges for the Agricultural Resource Management Survey Pfeffermann, D., and M. Sverchkov 1999 Parametric and semi-parametric estimation of regression models fitted to survey data. Sankhya, B61:166-186. Polivka, A.E., and J.M. Rothgeb 1993 Redesigning the CPS questionnaire. Monthly Labor Review, 10-28. Press, S., and J. Tanur 2000 Respondent-generated interval estimation to reduce item-nonresponse. In Applied Statistical Science V, 39-48. Huntington, NY: Nova Science Publishers. Rao, J.N.K. 2005 Interplay between sample survey theory and practice: An appraisal. Survey Methodology, 31, 117-138. Rao, J.N.K., C.F.J. Wu, and K. Yue 1992 Some recent work on resampling methods for complex surveys. Survey Methodology, 18, 209-217. Ribaudo, M., and R. Johansson 2006 Water quality: Impacts on agriculture. In Agricultural resources and environmental indicators, 2006 edition (Chapter 2.2). Economic Research Service, July. Available: http://www.ers.usda.gov/Publications/AREI/EIB16/. Rubin, D.B. 1976 Inference and missing data. Biometrika, 63, 581-590. Rust, K.F., and J.N.K. Rao 1996 Variance estimation for complex surveys using replication techniques. Statistical Methods in Medical Research, 5, 283-310. Sarndal, C.E., and S. Lundstrom 2005 Estimation in surveys with nonresponse. Chichester, UK: Wiley. Sarndal, C.E., and B. Swensson 1987 A general view of estimation for two phases of selection with applications to two-phase sampling and nonresponse. International Statistical Review, 55, 279-294. Sarndal, C.E., B. Swensson, and J. Wretman 1992 Model assisted survey sampling. New York: Springer-Verlag. Schober, M.F., and Conrad, F.G. 1997 Does conversational interviewing reduce survey measurement error? Public Opinion Quarterly, 61, 576-602. Schober, M.F., F.G. Conrad, and S.S. Fricker 2004 Misunderstanding standardized language in research interviews. Applied Cognitive Psychology, 18, 169-188. Skinner, C.J. 1994 Sample models and weights. In ASA Proceedings of the Section on Survey Research Methods (pp. 133-142). Alexandria, VA: American Statistical Association. Skinner, C.J., D. Holt, and T.M.F. Smith 1989 Analysis of complex surveys. New York: Wiley. Stanley, J. 1996 Standardizing interviewer behavior based on the results of behavior coding. Paper presented at the 51st annual conference of the American Association of Public Opinion Research, Salt Lake City. Statistics Canada 2003 Statistics Canada quality guidelines, fourth edition. Catalogue No. 12-539-XIE, October. Ottawa: Author. Tourangeau, R., and T.W. Smith 1996 Asking sensitive questions: The impact of data collection mode, question format, and question context. Public Opinion Quarterly 60:275-304.

OCR for page 170
Understanding American Agriculture: Challenges for the Agricultural Resource Management Survey U.S. Census Bureau 2003 Census Bureau standard: Pretesting questionnaires and related materials for surveys and censuses. July 25. U.S. Code USC Title 7, Chapter 35A, II, 1441a. U.S. Department of Agriculture 1944 Income parity for agriculture, part 1: Farm income, bureau of economic analysis. Washington, DC: Author. 2006a Making a difference for America’s small farmers and ranchers in the 21st century. Small Farms Coordinators, January. Washington, DC: Author. 2006b USDA quality of information guidelines, June 28. Available: http://www.ocio.usda.gov/qi_guide/index.html. U.S. Office of Management and Budget 2001 Guidelines for ensuring and maximizing the quality, objectivity, utility, and integrity of information disseminated by federal agencies. September 28. 2002 Federal statistical organizations’ guidelines for ensuring and maximizing the quality, objectivity, utility, and integrity of disseminated information. Federal Register, 67(107). 2006a Standards and guidelines for statistical surveys. September. 2006b Standards and guidelines for statistical surveys. October. Van Schaik, C. 2003 Getting a handle on the barriers to financing sustainable agriculture: The gaps between farmers and lenders in Minnesota and Wisconsin. Land Stewardship Project. Available: http://www.landstewardshipproject.org. Wolter, K.M. 1985 Introduction to variance estimation. New York: Springer-Verlag. Yung, W., and J.N.K. Rao 1996 Jackknife linearization variance estimators under stratified multi-stage sampling. Survey Methodology, 22, 23-31. Zieschang, K.D. 1990 Sample weighting methods and estimation of totals in the consumer expenditure survey. Journal of the American Statistical Association, 85, 986-1001.