Beyond polarization: using Q methodology to explore stakeholders’ views on pesticide use, and related risks for agricultural workers, in Washington State’s tree fruit industry
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Controversies in food and agriculture abound, with many portrayed as conflicts between polarized viewpoints. Framing such controversies as dichotomies, however, can at times obscure what might be a plurality of views and potential common ground on the subject. We used Q methodology to explore stakeholders’ views about pesticide safety, agricultural worker exposure, and human health concerns in the tree fruit industry of central Washington State. Using a purposive sample of English and Spanish-speaking agricultural workers, industry representatives, state agencies, educators, and advocates (n = 41), participants sorted 45 statements on pesticide use and perceived human safety risks in the tree fruit industry in 2011. We used PQMethod 2.33 statistical software program to identify viewpoints, based on differences between how participants sorted the statements. The results revealed three distinct viewpoints among 38 sorters that explained 52 percent of the variance. The viewpoints included the: (1) skeptics (n = 22) who expressed concern over the environmental and human health impacts of pesticide use; (2) acceptors (n = 10) who acknowledged inherent risks for using pesticides but saw the risks as known, small and manageable; and (3) incrementalists (n = 6) who prioritized opportunities to introduce human capital and technological improvements to increase agricultural worker safety. We then brought representatives with these different viewpoints together to analyze the results of the Q study, and to brainstorm mutually acceptable improvements to health and safety in tree fruit orchards. In describing and analyzing this case study, we argue that Q methodology can serve as one potentially effective tool for collaborative work, in this case facilitating a process of orchard safety improvements despite perceived stakeholder polarization.
KeywordsQ methodology Pesticide safety Polarization Stakeholders
Thanks go to Maureen Gullen for assistance in data analysis and representation for this study, to Diane Montgomery for assistance in identifying the most appropriate factor solution, to Jerry Shannon, Diane Montgomery, and Alice Julier for comments on an earlier draft of this paper, to four anonymous reviewers for invaluable feedback, and to the pesticide safety stakeholder working group for comments on the pesticide Q study results and analysis. This study was funded by CDC/NIOSH Award 5 U54 OH007544 to the University of Washington Pacific Northwest Agricultural Safety and Health Center (with subcontract to Washington State University).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Aerni, P. 2005. Attitudes in the public debates on agricultural biotechnology in developing countries. The African technology development forum.Google Scholar
- Angelopulo, G. 2009. Q methodology and the measurement of subjectivity in corporate brand perception. South African Journal of Business Management 40(3): 21–33.Google Scholar
- Ashley, B., J. Hollows, S. Jones, and B. Taylor. 2004. Food and cultural studies. London: Routledge.Google Scholar
- Beck, U. 1992. Risk society: Towards a new modernity. London: SAGE Publications Ltd.Google Scholar
- Berger, P.L., and T. Luckmann. 1966. The social construction of reality: A treatise in the sociology of knowledge. London: Penguin Books.Google Scholar
- Best, J. 2012. Social problems. New York: W.W. Norton & Company.Google Scholar
- Brown, S.R. 1980. Political subjectivity: Applications of Q methodology in political science. New Haven: Yale University Press.Google Scholar
- Bryson, J.M., and B.C. Crosby. 1992. Leadership for the common good: Tackling public problems in a shared-power world. San Francisco: Jossey-Bass Publishers.Google Scholar
- Carney, R.E., ed. 1971. Risk taking behavior: Concepts, methods, and applications to smoking and drug abuse. Springfield: Charles C. Thomas.Google Scholar
- CDC. 1999. Framework for program evaluation in public health. Morbidity and mortality weekly report, Centers for Disease Control 48 (RR-11).Google Scholar
- Davis, C.H., and C. Michelle. 2011. Q methodology in audience research: Bridging the qualitative/quantitative ‘divide’? Participations: Journal of Audience and Reception Studies 8(2): 559–593.Google Scholar
- EPA n.d. Worker protection standard. 40CFR170. U.S. Environmental Protection Agency. http://www.access.gpo.gov/nara/cfr/waisidx_10/40cfr170_10.html. Accessed 24 Jan 2011.
- EWG. 2015. EWG’s 2015 shopper’s guide to pesticides in produce. Environmental Working Group. http://www.ewg.org/foodnews/summary.php. Accessed 8 April 2015.
- Fiorina, M.P. 2010. Culture war? The myth of a polarized America (3rd edition). Harlow: Pearson Longman.Google Scholar
- Gabor, M.R. 2013. Q methodology (Q factor analysis): Particularities and theoretical considerations for marketing data. International Journal of Arts and Commerce 2(4): 116–126.Google Scholar
- Globalwise and Belrose Inc. 2014. The Washington apple industry: updated evaluation of contributions to the state economy and the important role of exports. http://fruitgrowersnews.com/downloads/2012/WAC_Econ_ImpactReport_Final_082912.pdf. Accessed 16 July 2014.
- Guthman, J. 2011. Weighing in: Obesity, food justice, and the limits of capitalism. Berkeley and Los Angeles: University of California Press.Google Scholar
- Hansen, H. 2014. Talking about pesticides: Responding to myths, rumors, and fears. Washington Friends of Farms and Forests. http://www.wafriends.org/. Accessed 13 April 2016.
- Hofmann, J.N., J. Crowe, J. Postma, V. Ybarra, and M.C. Keifer. 2009. Perceptions of environmental and occupational health hazards among agricultural workers in Washington State. American Association of Occupational Health Nurses Journal 57 (9): 359–371.Google Scholar
- Hohn, E. 2010. Survey of residents of northwest orchard community shows high levels of perceived pesticide risk and lack of pesticide training. MCN Streamline 16 (4): 4–5.Google Scholar
- Julier, A. 2008. The political economy of obesity: The fat pay all. In Food and culture: A reader (2nd edition), ed C. Counihan and P. Van Esterik, 482–499. New York: Routledge.Google Scholar
- Kramer, B., P. de Hegedus, and V. Gravidus. 2003. Evaluating a dairy herd improvement project in Uruguay to test and explain Q methodology. AIAEE Proceedings of the 19th Annual Conference. https://www.aiaee.org/attachments/article/1205/Kramer341.pdf. Accessed 11 Oct 2016.
- Marquez, E.C., and K.S. Schafer (with G. Aldern and K. VanderMolen). 2016. Kids on the frontline: How pesticides are undermining the health of rural children. Oakland: Pesticide Action Network of North America. http://www.panna.org/resources/kids-frontline. Accessed 30 May 2016.
- Martin, B. and E. Richards. 1995. Scientific knowledge, controversy, and public decision making. In Handbook of science and technology studies, eds. S. Jasanoff, G.E. Markle, J.C. Petersen, and T. Pinch, 506–526. London: Sage.Google Scholar
- Mayer, B., J. Flocks, and P. Monaghan. 2010. The role of employers and supervisors in promoting pesticide safety behavior among Florida farmworkers. American Journal of Industrial Medicine 53: 814–824.Google Scholar
- NASS. 1998. Agricultural chemical usage—1997 fruits summary. USDA National Agricultural Statistics Service. Ag Ch 1(98), July 1998.Google Scholar
- NASS. 2008. Agricultural chemical usage—2007 field crop summary. USDA National Agricultural Statistics Service. Ag Ch 1(08). May 2008.Google Scholar
- NASS. 2012. Table 35: Specified fruits and nuts by acres: 2012 and 2007. 2012 Census of Agriculture. USDA National Agricultural Statistics Service. http://www.agcensus.usda.gov/Publications/2012/Full_Report/Volume_1,_Chapter_1_State_Level/Washington/st53_1_039_039.pdf. Accessed 16 July 2014.
- Oekel, B.K. 2009. Q methodology and modern marketing research: Part I: fundamentals of the science of subjectivity. Davis Brand Capital.Google Scholar
- Roberts, N. 2000. Wicked problems and network approaches to resolution. International Public Management Review 1(1): 1–19.Google Scholar
- Rohlman, D. 2010. Neurobehavioral assessment of pesticide exposure in children. Unpublished data from pesticide survey. Hood River: Oregon State University.Google Scholar
- Rozalia, G.M. 2008. Q factor analysis (Q-methodology) as data analysis technique. Annals of the University of Oradea, Economic Science Series 17 (4): 871–876.Google Scholar
- Said, E. 1978. Orientalism. New York: Pantheon Books.Google Scholar
- Schmolck, P. 2013. PQ method software (2.33). General Public License, Munich. http://schmolck.userweb.mwn.de/qmethod/. Accessed 15 Oct 2013.
- Sjoberg, L., and B.M. Drottz-Sjoberg. 1993. Attitudes toward nuclear waste. Rhizikon research report no. 12. Stockholm: Center for Risk Research.Google Scholar
- Slovic, P. 1997. Public perception of risk. Journal of Environmental Health 59(9): 22–24.Google Scholar
- Slovic, P., Kraus, N. N., Lappe, H., Letzel, H., and Malmfors, T. 1989. Risk perception of prescription drugs: Report on a survey in Sweden. Pharm Med 4: 43–65.Google Scholar
- Stephenson, W. 1953. The study of behavior: Q-technique and its methodology. Chicago: University of Chicago Press.Google Scholar
- UW PNASH. 2010. Unpublished data from expert working group. Seattle: University of Washington Pacific Northwest Agricultural Safety and Health center.Google Scholar
- Washington Friends of Farms and Forests. 2013. Mission. http://www.wafriends.org/. Accessed 30 May 2016.
- Washington State Farmworker Housing Trust. 2008. Key facts: Washington’s farmworkers. http://www.farmworkerhousingtrust.org/needs_fact2.html. Accessed 19 Jan 2011.
- Watts, S., and P. Stenner. 2012. Doing Q methodology: Theory, method and interpretation. London: Sage.Google Scholar
- WSU. 2010. Unpublished data from pesticide recertification classes. Washington State University-Tree Fruit Research and Education Center. http://pmtp.wsu.edu/downloads/TurningPoint_Nov-Mar.pdf. Accessed 24 Jan 2011.