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Reporting Response Rates for Telephone Surveys Used In Agricultural Economics Research

Published online by Cambridge University Press:  15 September 2016

Sharon I. Gripp ,
A.E. Luloff  and
Robert D. Yonkers
Sharon I. Gripp
Affiliation:
Department of Agricultural Economics and Rural Sociology, College of Agricultural Sciences, The Pennsylvania State University, Armsby Building, University Park, PA 16802
A.E. Luloff
Affiliation:
Department of Agricultural Economics and Rural Sociology, College of Agricultural Sciences, The Pennsylvania State University, Armsby Building, University Park, PA 16802
Robert D. Yonkers
Affiliation:
Department of Agricultural Economics and Rural Sociology, College of Agricultural Sciences, The Pennsylvania State University, Armsby Building, University Park, PA 16802
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Abstract

Response rates are one indicator of a survey's data quality, as a great deal of importance has been placed on the mail survey's response rate. However, a telephone survey's response rate usually is not reported. Even if one is reported, the numbers used in the calculation are rarely defined making the response rate interpretation unclear. Using a recent telephone survey of Pennsylvania dairy managers, this paper demonstrates how telephone survey data should be reported. Essentially, every research report should include a discussion of how the survey was conducted, a disposition table, and well-defined formulas used to calculate response rates.

Type
Articles
Information
Agricultural and Resource Economics Review , Volume 23 , Issue 2 , October 1994 , pp. 200 - 206
Copyright
Copyright © 1994 Northeastern Agricultural and Resource Economics Association 

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References

Bailey, DeeVon, Eck, Douglas W., and Glover, Terrence F., “An Evaluation of Cost of Production Information Usage by County Agents.” Southern Journal of Agricultural Economics. 23 (1991): 49–57.Google Scholar
Baker, Gregory A. “Computer Adoption and Use by New Mexico Nonfarm Agribusinesses.” American Journal of Agricultural Economics. 74 (1992): 737–744.Google Scholar
Biemer, Paul P. “Measuring Data Quality.” In Groves, Robert M., Biemer, Paul P., Lyberg, Lars E., Massey, James T., William, L. Nicholls, II, and Wakesberg, Joseph (eds). Telephone Survey Methodology. New York: John Wiley & Sons, 1988.Google Scholar
Cox, Linda J., Starr McMullen, B., and Garrod, Peter V. “An Analysis of the Use of Grades and Housebrand Labels in the Retail Beef Market.” Western Journal of Agricultural Economics. 15 (1990): 245–253.Google Scholar
Davis, George C. and Wohlgenant, Michael K. “Demand Elasticities From a Discrete Choice Model: The Natural Christmas Tree Market.” American Journal of Agricultural Economics. 75 (1993): 730–738.CrossRefGoogle Scholar
Dillman, Don A. “Recent Advances in Survey Data Collection Methods and Their Implications for Meeting Rural Data Needs.” In Buse, Rueben C. and Driscoll, James L. (eds). Rural Information Systems: New Directions in Data Collection and Retrieval. Ames: Iowa State University Press, 1992.Google Scholar
Frankel, L.R. “On the Definition of Response Rates.” A special report to the CASRO Task Force on completion rates. New York: Council of American Survey Research Organizations, 1982.Google Scholar
Groves, Robert M. Survey Errors and Survey Costs. Chapter 4. “Nonresponse in Sample Surveys.” New York: John Wiley and Sons, 1989.Google Scholar
Groves, Robert M. and Lyberg, Lars E. “An Overview of Nonresponse Issues in Telephone Surveys.” In Groves, Robert M., Biemer, Paul P., Lyberg, Lars E., Massey, James T., William, L. Nicholls, II, and Wakesberg, Joseph (eds).Google Scholar
Telephone Survey Methodology. New York: John Wiley & Sons, 1988.Google Scholar
Halstead, John Μ., Luloff, A.E., and Stevens, Thomas H. “Protest Bidders in Contingent Valuation.” Northeastern Journal of Agricultural and Resource Economics. 21 (1992): 160–169.CrossRefGoogle Scholar
Hanemann, Michael, Loomis, John, and Kanninen, Barbara. “Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation.” American Journal of Agricultural Economics. 73 (1991): 1255–1263.Google Scholar
Jensen, H.H., Kesavan, T., and Johnson, S.R. “Measuring the Impact of Health Awareness on Food Demand.” Review of Agricultural Economics. 14 (1992): 299–312.Google Scholar
Kelsey, Timothy W. “Fatal Farm Accidents in New York: Estimates of Their Costs.” Northeastern Journal of Agricultural and Resource Economics. 20 (1991): 202–207.Google Scholar
Kinnucan, Henry W. and Venkateswaran, Meenakshi. “Effects of Generic Advertising on Perceptions and Behavior: The Case of Catfish.” Southern Journal of Agricultural Economics. 22 (1990): 137–151.Google Scholar
Koontz, Stephen R. and Ward, Clement E. “Electronic Market Use by Oklahoma Lamb Producers.” Journal of Agricultural and Resource Economics. 18 (1993): 70–85.Google Scholar
Lass, Daniel A., Findeis, Jill L., and Hallberg, M.C. “Off-farm Employment Decisions by Massachusetts Farm Households.” Northeastern Journal of Agricultural and Resource Economics.“ 18 (1989): 149–159.Google Scholar
Lass, Daniel A. and Conrado, M. Gempesaw, II. “The Supply of Off-Farm Labor: A Random Coefficients Approach.” American Journal of Agricultural Economics. 74 (1992): 400–411.Google Scholar
Lavrakas, Paul J. Telephone Survey Methods: Sampling, Selection, and Supervision. Chapter 3. “Processing Sampling Pools.” Beverly Hills: Sage Publications, 1987.Google Scholar
Lin, C.-T. Jordan and Walter Milon, J. “Attribute and Safety Perceptions in a Double-Hurdle Model of Shellfish Consumption.” American Journal of Agricultural Economics. 75 (1993): 724–729.Google Scholar
de Leeuw, Edith D. and van der Zouwen, Johannes. “Data Quality in Telephone and Face To Face Surveys: A Comparative Meta-Analysis.” In Groves, Robert M., Biemer, Paul P., Lyberg, Lars E., Massey, James T., Nicholls, William L. II, and Wakesberg, Joseph (eds). Telephone Survey Methodology. New York: John Wiley & Sons, 1988.Google Scholar
Leistritz, Larry F. and Ekstrom, Brenda L. “North Dakota Farm and Nonfarm Residents’ Views on Financial Assistance Policies.” North Central Journal of Agricultural Economics. 10 (1988): 125–134.Google Scholar
Leistritz, Larry F., Leholm, Arlen G., Vreugdenhil, Harvey G., and Ekstrom, Brenda L. “Effect of Farm Financial Stress on Off-Farm Work Behavior of Farm Operators and Spouses in North Dakota.” North Central Journal of Agricultural Economics. 8 (1986): 269–282.CrossRefGoogle Scholar
Luloff, A.E. and Ilvento, T.W. “Respondents, Nonrespondents, and Population Surveys: A Note.” Journal of Community Development Society. 12 (1981): 1–12.Google Scholar
Makus, Larry D., Guenthner, Joseph F., and Lin, Biing-Hwan. “Factors Influencing Producer Support for a State Mandatory Seed Law: An Empirical Analysis.” Journal of Agricultural and Resource Economics. 17 (1992): 286–293.Google Scholar
McNamara, Kevin T., Wetzstein, Michael E., and Keith Douce, G. “Factors Affecting Peanut Producer Adoption of Integrated Pest Management.” Review of Agricultural Economics. 13 (1991): 129–139.Google Scholar
Mitchell, Robert Cameron and Carson, Richard T. Using Surveys to Value Public Goods: The Contingent Valuation Method. Chapter 12. “Sampling and Aggregation Issues.” Washington, D.C.: Resources For the Future, 1989.Google Scholar
Nelson, John S., Vaske, Jerry J., and Luloff, A.E. “Toward a Standard Definition of Telephone Survey Response Rates.” Unpublished paper, 1990.Google Scholar
Ozuna, Teofilo Jr., Jones, Lonnie L., and Capps, Oral Jr. “Functional Form and Welfare Measures in Truncated Recreation Demand Models.” American Journal of Agricultural Economics 75 (1993): 1030–1035.Google Scholar
Turner, Steven C., Dorfman, Jeffrey H., and Fletcher, Stanley M. “Target Markets for Retail Outlets of Landscape Plants.” Southern Journal of Agricultural Economics. 22 (1990): 177–183.Google Scholar
Whitehead, John C. “Measuring Use Value From Recreation Participation.” Southern Journal of Agricultural Economics. 24 (1992): 113–119.Google Scholar
Zepeda, Lydia. “Predicting Bovine Somatotropin Use by California Dairy Farmers.” Western Journal of Agricultural Economics. 15 (1990): 55–62.Google Scholar