Examining Normative Influences on Intentions to Reduce Irrigated Landscape Area through a Compliance and Belonging Lens

References

• Aho, K., D. Derryberry, and T. Peterson. 2014. Model selection for ecologists: The worldviews of AIC and BIC. Ecology 95 (3):631–6. doi:10.1890/13-1452.1.
   PubMed Web of Science ®Google Scholar
• Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes 50 (2):179–211. doi:10.1016/0749-5978(91)90020-T.
   Web of Science ®Google Scholar
• Akaike, H. 1973. Information theory as an extension of the maximum likelihood principle. In Second international symposium on information theory, ed. B. N. Petro and F. Csaki, 267–81. Budapest, Hungary: Akademiai Kiado.
   Google Scholar
• Belsley, D. A., E. Kuh, and R. E. Welsch. 1980. Regression diagnostics: Identifying influential data and sources of collinearity. Hoboken, NJ: John Wiley & Sons, Inc.
   Google Scholar
• Branscum, P., M. C. Rivera, G. Fairchild, and K. Q. Fay. 2017. Do injunctive and descriptive normative beliefs need a value-laden multiplier in value expectancy models? A case series across multiple health behaviors. Health Behavior Research 1 (1):7. doi:10.4148/2572-1836.1004.
   Google Scholar
• Branscum, P., and V. Senkowski. 2019. Does level of specificity affect measures of motivation to comply? A randomized evaluation. Translational Behavioral Medicine 9 (2):373–9. doi:10.1093/tbm/iby056.
   PubMed Web of Science ®Google Scholar
• Brown, T. C., V. Mahat, and J. A. Ramirez. 2019. Adaptation to future water shortages in the United States caused by population growth and climate change. Earth’s Future. 7 (3):219–34. doi:10.1029/2018EF001091.
   Web of Science ®Google Scholar
• Bürkner, P.-C., and M. Vuorre. 2019. Ordinal regression models in psychology: A tutorial. Advances in Methods and Practices in Psychological Science 2 (1):77–101. doi:10.1177/2515245918823199.
   Google Scholar
• Cialdini, R. B. 2005. Basic social influence is underestimated. Psychological Inquiry 16 (4):158–61. doi:10.1207/s15327965pli1604_03.
   Web of Science ®Google Scholar
• Cialdini, R. B., R. R. Reno, and C. A. Kallgren. 1990. A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Journal of Personality and Social Psychology 58 (6):1015–26. doi:10.1037/0022-3514.58.6.1015.
   Web of Science ®Google Scholar
• Cronbach, L. J. 1951. Coefficient alpha and the internal structure of tests. Psychometrika 16 (3):297–334. doi:10.1007/BF02310555.
   Web of Science ®Google Scholar
• Corral-Verdugo, V., M. Frías-Armenta, C. O. Tapia-Fonllem, and B. S. Fraijo-Sing. 2012. Protecting natural resources: Psychological and contextual determinants of freshwater conservation. In Oxford library of psychology. The Oxford handbook of environmental and conservation psychology, ed. S. D. Clayton, 581–97. New York, NY: Oxford University Press. doi:10.1093/oxfordhb/9780199733026.013.0030.
   Google Scholar
• Davidson, A. R., and J. J. Jaccard. 1979. Variables that moderate the attitude-behavior relation: Results of a longitudinal survey. Journal of Personality and Social Psychology 37 (8):1364–76. http://fsnagle.org/files/davidson1979variables.pdf. doi:10.1037/0022-3514.37.8.1364.
   Web of Science ®Google Scholar
• Dietz, T., G. T. Gardner, J. Gilligan, P. C. Stern, and M. P. Vandenbergh. 2009. Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions. Proceedings of the National Academy of Sciences of the United States of America 106 (44):18452–6. doi:10.1073/pnas.0908738106.
   PubMed Web of Science ®Google Scholar
• Dillman, D. A., J. D. Smyth, and L. M. Christian. 2009. Internet, mail, and mixed-mode surveys: The tailored design method. 3rd ed. Toronto, Alberta, Canada: Wiley & Sons.
   Google Scholar
• Ehret, P. J., H. E. Hodges, C. Kuehl, C. Brick, S. Mueller, and S. E. Anderson. 2021. Systematic review of conservation interventions using the information–motivation–behavioral skills model. Environment and Behavior 53 (5):485–519. doi:10.1177/0013916519896868.
   Web of Science ®Google Scholar
• Etcheverry, P. E., and C. R. Agnew. 2016. Predictors of motivation to comply with social referents regarding one’s romantic relationship. Personal Relationships 23 (2):214–33. doi:10.1111/pere.12121.
   Web of Science ®Google Scholar
• Field, A. 2018. Discovering statistics using IBM SPSS statistics. 5th ed. Los Angeles: Sage.
   Google Scholar
• Fielding, K. S., S. Russell, A. Spinks, and A. Mankad. 2012. Determinants of household water conservation: The role of demographic, infrastructure, behavior, and psychosocial variables. Water Resources Research 48 (10):W10510. doi:10.1029/2012WR012398.
   Google Scholar
• Fishbein, M., and I. Ajzen. 1975. Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison Wesley.
   Google Scholar
• Fishbein, M., and I. Ajzen. 2010. Predicting and changing behavior: The reasoned action approach. New York, NY: Psychology Press.
   Google Scholar
• Garcia-Cuerva, L., E. Z. Berglund, and A. R. Binder. 2016. Public perceptions of water shortages, conservation behaviors, and support for water reuse in the U.S. Resources. Conservation and Recycling 113:106–15. doi:10.1016/j.resconrec.2016.06.006.
   Web of Science ®Google Scholar
• Goldsmith, E. B., and R. E. Goldsmith. 2011. Social influence and sustainability in households. International Journal of Consumer Studies 35 (2):117–21. doi:10.1111/j.1470-6431.2010.00965.x.
   Web of Science ®Google Scholar
• Haddeland, I., J. Heinke, H. Biemans, S. Eisner, M. Flörke, N. Hanasaki, M. Konzmann, F. Ludwig, Y. Masaki, J. Schewe, et al. 2014. Global water resources affected by human interventions and climate change. Proceedings of the National Academy of Sciences of the United States of America 111 (9):3251–6. doi:10.1073/pnas.1222475110.
   PubMed Web of Science ®Google Scholar
• Hurd, B. H. 2006. Water conservation and residential landscapes: Household preferences, household choices. Journal of Agricultural and Resource Economics 3l (2):173–92. 10.22004/ag.econ.8605.
   Google Scholar
• IBM Corporation. 2016. Ordinal regression. https://www.ibm.com/docs/en/spss-statistics/24.0.0?topic=option-ordinal-regression (accessed July 21, 2021)
   Google Scholar
• Koop, S. H. A., A. J. Van Dorssen, and S. Brouwer. 2019. Enhancing domestic water conservation behaviour: A review of empirical studies on influencing tactics. Journal of Environmental Management 247:867–76. doi:10.1016/j.jenvman.2019.06.126.
   PubMed Web of Science ®Google Scholar
• Kumar Chaudhary, A., L. Warner, A. J. Lamm, G. D. Israel, J. N. Rumble, and R. Cantrell. 2017. Using the theory of planned behavior to encourage water conservation among extension clients. Journal of Agricultural Education 58 (3):185–202. doi:10.5032/jae.2017.03185.
   Google Scholar
• Lall, U., L. Josset, and T. Russo. 2020. A snapshot of the world’s groundwater challenges. Annual Review of Environment and Resources 45 (1):171–94. doi:10.1146/annurev-environ-102017-025800.
   Google Scholar
• Landon, A. C., G. T. Kyle, and R. A. Kaiser. 2017. An augmented norm activation model: The case of residential outdoor water use. Society & Natural Resources 30 (8):903–18. doi:10.1080/08941920.2016.1239294.
   Web of Science ®Google Scholar
• Landon, A. C., R. T. Woodward, G. T. Kyle, and R. A. Kaiser. 2018. Evaluating the efficacy of an information-based residential outdoor water conservation program. Journal of Cleaner Production 195:56–65. doi:10.1016/j.jclepro.2018.05.196.
   Web of Science ®Google Scholar
• Lapinski, M. K., and R. N. Rimal. 2005. An explication of social norms. Communication Theory 15 (2):127–47. doi:10.1111/j.1468-2885.2005.tb00329.x.
   Web of Science ®Google Scholar
• Lapinski, M. K., R. N. Rimal, R. DeVries, and E. L. Lee. 2007. The role of group orientation and descriptive norms on water conservation attitudes and behaviors. Health Communication 22 (2):133–42. doi:10.1080/10410230701454049.
   PubMed Web of Science ®Google Scholar
• Lede, E., R. Meleady, and C. R. Seger. 2019. Optimizing the influence of social norms interventions: Applying social identity insights to motivate residential water conservation. Journal of Environmental Psychology 62:105–14. doi:10.1016/j.jenvp.2019.02.011.
   Web of Science ®Google Scholar
• Liu, J., and S. Higgs. 2019. Social modeling of food intake: No evidence for moderation by identification with the norm referent group. Frontiers in Psychology 10:159. doi:10.3389/fpsyg.2019.00159.
   PubMed Web of Science ®Google Scholar
• Marandu, E. E., N. Moeti, and H. Joseph. 2010. Predicting residential water conservation using the theory of reasoned action. Journal of Communication 1 (2):87–100. doi:10.1080/0976691X.2010.11884774.
   Google Scholar
• Marston, L. T., G. Lamsal, Z. H. Ancona, P. Caldwell, B. D. Richter, B. L. Ruddell, R. R. Rushforth, and K. F. Davis. 2020. Reducing water scarcity by improving water productivity in the United States. Environmental Research Letters 15 (9):094033. doi:10.1088/1748-9326/ab9d39.
   Web of Science ®Google Scholar
• McKenzie-Mohr, D. 2011. Fostering sustainable behavior: An introduction to community-based social marketing. Gabriola Island, British Columbia: New Society Publishers.
   Google Scholar
• Megill, A. 2007. Historical knowledge, historical error: A contemporary guide to practice. Chicago, IL: University of Chicago Press.
   Google Scholar
• Montano, D. E., and D. Kasprzyk. 2008. Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. In Health behavior and health education: Theory, research, and practice, ed. K. Glanz, B. K. Rimer, and K. Viswanath, 4th ed., 67–96. San Francisco, CA: Jossey-Bass.
   Google Scholar
• Nassauer, J. I., Z. Wang, and E. Dayrell. 2009. What will the neighbors think? Cultural norms in ecological design. Landscape and Urban Planning 92 (3–4):282–92. doi:10.1016/j.landurbplan.2009.05.010.
   Web of Science ®Google Scholar
• Neighbors, C., J. W. LaBrie, J. F. Hummer, M. A. Lewis, C. M. Lee, S. Desai, J. R. Kilmer, and M. E. Larimer. 2010. Group identification as a moderator of the relationship between perceived social norms and alcohol consumption. Psychology of Addictive Behaviors 24 (3):522–8. doi:10.1037/a0019944.
   PubMed Web of Science ®Google Scholar
• Nolan, J. M., P. W. Schultz, R. B. Cialdini, N. J. Goldstein, and V. Griskevicius. 2008. Normative social influence is underdetected. Personality & Social Psychology Bulletin 34 (7):913–23. doi:10.1177/0146167208316691.
   PubMed Web of Science ®Google Scholar
• Özyavuz, A., and M. Özyavuz. 2012. Xeriscape in landscape design. In Landscape planning, ed. M. Özyavuz, 353–60. London, United Kingdom: IntechOpen. doi:10.5772/38989.
   Google Scholar
• Park, H. S., and S. W. Smith. 2007. Distinctiveness and influence of subjective norms, personal descriptive and injunctive norms, and societal descriptive and injunctive norms on behavioral intent: A case of two behaviors critical to organ donation. Human Communication Research 33 (2):194–218. doi:10.1111/j.1468-2958.2007.00296.x.
   Web of Science ®Google Scholar
• Perloff, R. M. 2017. The dynamics of persuasion: Communication and attitudes in the 21st century. 6th ed. New York, NY: Routledge.
   Google Scholar
• Peters, R. M., and T. N. Templin. 2010. Theory of planned behavior, self-care motivation, and blood pressure self-care. Research and Theory for Nursing Practice 24 (3):172–86. doi:10.1891/1541-6577.24.3.172.
   PubMed Web of Science ®Google Scholar
• Podsakoff, P. M., S. B. MacKenzie, J.-Y. Lee, and N. P. Podsakoff. 2003. Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology 88 (5):879–903. doi:10.1037/0021-9010.88.5.879.
   PubMed Web of Science ®Google Scholar
• Rafi, Z. N., and F. Kazemi. 2021. Effects of planting combinations and mulch types on soil moisture and temperature of xeric landscapes. Urban Forestry & Urban Greening 58:126966. doi:10.1016/j.ufug.2020.126966.
   Web of Science ®Google Scholar
• Rafi, Z. N., F. Kazemi, and A. Tehranifar. 2020. Public preferences toward water-wise landscape design in a summer season. Urban Forestry & Urban Greening 48:126563. doi:10.1016/j.ufug.2019.
   Web of Science ®Google Scholar
• Reed, M. B., J. E. Lange, J. M. Ketchie, and J. D. Clapp. 2007. The relationship between social identity, normative information and college student drinking. Social Influence 2 (4):269–94. doi:10.1080/15534510701476617.
   Google Scholar
• Sankarasubramanian, A., J. L. Sabo, K. L. Larson, S. B. Seo, T. Sinha, R. Bhowmik, A. R. Vidal, K. Kunkel, G. Mahinthakumar, E. Z. Berglund, et al. 2017. Synthesis of public water supply use in the United States: Spatio‐temporal patterns and socio‐economic controls. Earth’s Future. 5 (7):771–88. doi:10.1002/2016EF000511.
   Web of Science ®Google Scholar
• Schultz, P. W., J. M. Nolan, R. B. Cialdini, N. J. Goldstein, and V. Griskevicius. 2007. The constructive, destructive, and reconstructive power of social norms. Psychological Science 18 (5):429–34. doi:10.1111/j.1467-9280.2007.01917.x.
   PubMed Web of Science ®Google Scholar
• Schwartz, S. H. 1977. Normative influences on altruism. In Advances in experimental social psychology, ed. L. Berkowitz, 221–79. New York, NY: Academic Press.
   Google Scholar
• Simis, M. J., H. Madden, M. A. Cacciatore, and S. K. Yeo. 2016. The lure of rationality: Why does the deficit model persist in science communication? Public Understanding of Science 25 (4):400–14. doi:10.1177/0963662516629749.
   PubMed Web of Science ®Google Scholar
• Snipes, M., and D. C. Taylor. 2014. Model selection and Akaike Information Criteria: An example from wine ratings and prices. Wine Economics and Policy 3 (1):3–9. doi:10.1016/j.wep.2014.03.001.
   Google Scholar
• Sparkman, G., and G. M. Walton. 2017. Dynamic norms promote sustainable behavior, even if it is counternormative. Psychological Science 28 (11):1663–74. doi:10.1177/0956797617719950.
   PubMed Web of Science ®Google Scholar
• St. Hilaire, R. 2009. The residential urban landscape as a frontier for water conservation. Proteus 26 (1):13–6. https://www.ship.edu/globalassets/proteus/volume26-13-hilaire.pdf.
   Web of Science ®Google Scholar
• Stern, P. C., K. B. Janda, M. A. Brown, L. Steg, E. L. Vine, and L. Lutzenhiser. 2016. Opportunities and insights for reducing fossil fuel consumption by households and organizations. Nature Energy 1 (5):16043. doi:10.1038/nenergy.2016.43.
   Google Scholar
• Sun, H., K. Kopp, and R. Kjelgren. 2012. Water-efficient urban landscapes: Integrating different water use categorizations and plant types. HortScience 47 (2):254–63. doi:10.21273/HORTSCI.47.2.254.
   Web of Science ®Google Scholar
• Terry, D. J., and M. A. Hogg. 1996. Group norms and the attitude-behavior relationship: A role for group identification. Personality and Social Psychology Bulletin 22 (8):776–93. doi:10.1177/0146167296228002.
   Web of Science ®Google Scholar
• Vaske, J. J. 2008. Survey research and analysis: Applications in parks, recreation and human dimensions. State College, PA: Venture Publishing.
   Google Scholar
• Vörösmarty, C. J., P. B. McIntyre, M. O. Gessner, D. Dudgeon, A. Prusevich, P. Green, S. Glidden, S. E. Bunn, C. A. Sullivan, C. R. Liermann, et al. 2010. Global threats to human water security and river biodiversity. Nature 467 (7315):555–61. doi:10.1038/nature09440.
   PubMed Web of Science ®Google Scholar
• Wade, G. L., J. T. Midcap, K. D. Coder, G. W. Landry, A. W. Tyson, and N. Weatherly. 2010. Xeriscape: A guide to developing a water-wise landscape. http://hdl.handle.net/10724/12344 (accessed May 21, 2021)
   Google Scholar
• Warner, L. A. 2021. Who conserves and who approves? Predicting water conservation intentions in urban landscapes with referent groups beyond the traditional ‘important others’. Urban Forestry & Urban Greening 60:127070. doi:10.1016/j.ufug.2021.127070.
   Web of Science ®Google Scholar
• Warner, L. A., and W. H. Hobbs. 2020. Examining the potential role of descriptive norms in landscape water conservation programs. Journal of Extension 58 (3):v58-3a4. https://joe.org/joe/2020june/a4.php.
   Web of Science ®Google Scholar
• Warner, L. A., A. J. Lamm, and C. Silvert. 2020. Diffusion of water-saving irrigation innovations in Florida’s urban residential landscapes. Urban Forestry & Urban Greening 47 (126540):126540. doi:10.1016/j.ufug.2019.126540.
   Google Scholar
• Warner, L. A., J. M. Diaz, and A. Kumar Chaudhary. 2018. Informing urban landscape water conservation extension programs using behavioral research. Journal of Agricultural Education 59 (2):32–48. doi:10.5032/jae.2018.02032.
   Google Scholar
• Warner, L. A., J. M. Diaz, and M. D. Dukes. 2022. Selecting high-impact landscape irrigation conservation behaviors: Formative research to inform behavior-change efforts. Social Marketing Quarterly 28 (1):28–43. doi:10.1177/15245004211071057.
   Web of Science ®Google Scholar
• Warner, L. A., J. M. Diaz, C. Silvert, W. H. Hobbs, and A. J. Reisinger. 2021. Predicting intentions to engage in a suite of yard fertilizer behaviors: Integrated insights from Diffusion of Innovations, the Theory of Planned Behavior, and contextual factors. Society & Natural Resources 34 (3):373–92. doi:10.1080/08941920.2020.1831118.
   Web of Science ®Google Scholar
• Wauters, E., and E. Mathijs. 2013. An investigation into the socio-psychological determinants of farmers’ conservation decisions: Method and implications for policy, extension and research. The Journal of Agricultural Education and Extension 19 (1):53–72. doi:10.1080/1389224X.2012.714711.
   Google Scholar