Current U.S. federal disaster management approaches advocate for citizens to engage in local efforts to cope with the negative consequences of disasters. In line with this approach, this project develops and validates the Citizen Disaster Communication Assessment (CDCA), which is a comprehensive survey instrument measuring individuals’ communication across disaster phases. The CDCA development process occurred over three studies. Study 1 consisted of assessment item generation and expert review. Study 2 determined the dimensionality of citizen disaster communication. Study 3 surveyed three communities experiencing different disaster phases in order to confirm the CDCA factor structure. Results (a) demonstrate evidence of an empirically derived citizen disaster communication measure and (b) inform current understanding of how citizens’ communication can participate in community disaster management. Future research should use the CDCA in other diverse communities to further validate the measure and to provide additional insight into the structural and sociodemographic factors influencing disaster communication.
AllenM.TitsworthS.HuntS. K. (2009). Quantitative research in communication. Los Angeles, CA: SAGE.
2.
Ball-RokeachS. J.KimY. C.MateiS. (2001). Storytelling neighborhoods: Paths to belonging in diverse urban environments. Communication Research, 12, 485-510. doi:10.1177/009365001028004003
3.
BroadG. M.Ball-RokeachS. J.OgnyanovaK.StokesB.PicassoT.VillanuevaG. (2013). Understanding communication ecologies to bridge communication research and community action. Journal of Applied Communication Research, 41, 325-345. doi:10.1080/00909882.2013.844848
4.
BuhrmesterM.KwangT.GoslingS. D. (2011). Amazon’s Mechanical Turk: A new source of inexpensive, yet high-quality, data?Perspectives on Psychological Science, 6, 3-5. doi:10.1177/1745691610393980
5.
Centre for Research on the Epidemiology of Disasters. (2015). The human cost of natural disasters: A global perspective. Brussels, Belgium: Author.
6.
ChandraA.WilliamsM.PloughA.StaytonA.WellsK. B.HortaM.TangJ. (2013). Getting actionable about community resilience: The Los Angeles county community disaster resilience project. American Journal of Public Health, 103, 1181-1189. doi:10.2105/AJPH.2013.301270
7.
CohenE. L.Ball-RokeachS. J.JungJ. Y.KimY. C. (2002). Civic actions after September 11: Exploring the role of multi-level storytelling. Prometheus, 20, 221-228. doi:10.1080/08109020210141344
8.
CorbinJ.StraussA. (2008). Basics of qualitative research: Techniques and procedures for developing grounded theory (3rd ed.). Thousand Oaks, CA: SAGE.
9.
DeVellisR. F. (2012). Scale development: Theory and applications. Los Angeles, CA: SAGE.
10.
Dutta-BergmanM. J. (2004). Interpersonal communication after 9/11 via telephone and internet: A theory of channel complementarity. New Media & Society, 6, 659-673. doi:10.1177/146144804047086
11.
FabrigarL. R.WegenerD. T.MacCallumR. C.StrahanE. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272-299. doi:10.1037/1082-989x.4.3.272
12.
Federal Emergency Management Agency. (2011). A whole community approach to emergency management: Principles, themes, and pathways for action. Washington, DC: U.S. Department of Homeland Security.
13.
Federal Emergency Management Agency. (2013). National strategy recommendations: Future disaster preparedness. Washington, DC: U.S. Department of Homeland Security.
14.
GurwitchR. H.PfefferbaumB.MontgomeryJ. M.KlompR. W.ReissmanD. B. (2007). Building community resilience for children and families. Oklahoma City: Terrorism and Disaster Center, University of Oklahoma Health Sciences Center.
15.
HaynesS. N.RichardD. C. S.KubanyE. S. (1995). Content validity in psychological assessment: A functional approach to concepts and methods. Psychological Assessment, 7, 238-247. doi:10.1037/1040-3590.7.3.238
16.
HensonR. K.RobertsJ. K. (2006). Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66, 393-416. doi:10.1177/0013164405282485
17.
HoustonJ. B. (2012). Public disaster mental/behavioral health communication: Intervention across disaster phases. Journal of Emergency Management, 10, 283-292. doi:10.5055/jem.2012.0106
18.
HoustonJ. B.FirstJ.SpialekM. L.SorensonM. E.KochM. (2016). Public disaster communication and child and family disaster mental health: A review of theoretical frameworks and empirical evidence. Current Psychiatry Reports, 18, Article 54. doi:10.1007/s11920-016-0690-5
19.
HoustonJ. B.FrankenN. J. (2015). Disaster interpersonal communication and posttraumatic stress following the 2011 Joplin, Missouri tornado. Journal of Loss & Trauma, 20, 195-206. doi:10.1080/15325024.2013.848614
20.
HoustonJ. B.HawthorneJ.PerreaultM. F.ParkE. H.Goldstein HodeM.HalliwellM. R.. . . GriffithS. A. (2015). Social media and disasters: A functional framework for social media use in disaster planning, response, and research. Disasters, 39, 1-22. doi:10.1111/disa.12092
21.
HoustonJ. B.SpialekM. L.StevensJ.FirstJ.MieselerV. L.PfefferbaumB. (2015). 2011 Joplin, Missouri tornado experience, mental health reactions, and service utilization: Cross-sectional assessments at approximately 6 months and 2.5 years post-event. PLOS Currents: Disasters, 7. doi:10.1371/currents.dis.18ca227647291525ce3415bec1406aa5
22.
HuL.BentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1-55. doi:10.1080/10705519909540118
23.
KaiserH. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23, 187-200. doi:10.1007/BF02289233
24.
KimY. C.Ball-RokeachS. J. (2006). Civic engagement from a communication infrastructure perspective. Communication Theory, 16, 1-25. doi:10.1111/j.1468-2885.2006.00267.x
KouskyC. (2012). Informing climate adaptation: A review of the economic costs of natural disasters, their determinants, and risk reduction options. Washington, DC: Resources for the Future. Retrieved from http://www.rff.org/rff/Documents/RFF-DP-12-28.pdf
LazarusR. S.FolkmanS. (1984). Stress, appraisal, and coping. New York, NY: Springer.
29.
LittleT. D. (2013). Longitudinal structural equation modeling. New York, NY: Guilford Press.
30.
LynnM. R. (1986). Determination and quantification of content validity. Nursing Research, 35, 382-386. doi:10.1097/00006199-198611000-00017
31.
MacCallumR. C.AustinJ. T. (2000). Applications of structural equation modeling in psychological research. Annual Review of Psychology, 51, 201-226. doi:10.1146/annurev.psych.51.1.201
32.
MacFarlaneA. C.NorrisF. H. (2006). Definitions and concepts in disaster research. In NorrisF. H.GaleaS.FriedmanM. J.WatsonP. J. (Eds.), Methods for disaster mental health research (pp. 3-19). New York, NY: Guilford Press.
33.
MatsaganisM. D.GoldenA. G.ScottM. E. (2014). Communication infrastructure theory and reproductive health disparities: Enhancing storytelling network integration by developing interstitial actors. International Journal of Communication, 8, 1495-1515.
34.
McCroskeyJ. C.YoungT. J. (1979). The use and abuse of factor analysis in communication research. Human Communication Research, 5, 375-382. doi:10.1093/hcr/28.4.562
35.
MehlM. R.PennebakerJ. W. (2003). The social dynamics of a cultural upheaval: Social interactions surrounding September 11, 2001. Psychological Science, 14, 579-585. doi:10.1046/j.0956-7976.2003.psci_1468.x
36.
MyersT. A. (2011). Goodbye, listwise deletion: Presenting hot deck imputation as an easy and effective tool for handling missing data. Communication Methods and Measures, 5, 297-310. doi:10.1080/19312458.2011.62440
37.
NapolitanoJ. (2011). Progress toward a more secure and resilient nation. Homeland Security Affairs, 7, 1-4.
38.
National Academies of Sciences, Engineering, and Medicine. (2016). The promises and perils of digital strategies in achieving health equity: Workshop summary. Washington, DC: The National Academies Press.
39.
National Climatic Data Center. (n.d.). Billion-dollar U.S. weather and climate disasters, 1980-2014. Retrieved from http://www.ncdc.noaa.gov/billions/
40.
NeriaY.NandiA.GaleaS. (2008). Post-traumatic stress disorder following disasters: A systematic review. Psychological Medicine, 38, 467-480. doi:10.1017/S0033291707001353
41.
PalencharM. J. (2009). Historical trends of risk and crisis communication. In HeathR. L.O’HairH. D. (Eds.), Handbook of risk and crisis communication (pp. 31-52). New York, NY: Routledge.
42.
PegueroA. A. (2006). Latino disaster vulnerability: The dissemination of hurricane mitigation information among Florida’s homeowners. Hispanic Journal of Behavioral Sciences, 28, 5-22. doi:10.1177/0739986305284012
43.
PennebakerJ. W.HarberK. D. (1993). A social stage model of collective coping: The Loma Prieta Earthquake and the Persian Gulf War. Journal of Social Issues, 49, 125-145. doi:10.1111/j.1540-4560.1993.tb01184.x
44.
PerreaultM. F.HoustonJ. B.WilkinsL. (2014). Does scary matter? Testing the effectiveness of new national weather service tornado warning messages. Communication Studies, 65, 484-499. doi:10.1080/10510974.2014.956942
45.
ReynoldsB.SeegerM. W. (2005). Crisis and emergency risk communication as an integrative model. Journal of Health Communication, 10, 43-55. doi:10.1080/10810730590904571
46.
SpenceP. R.LachlanK. A.BurkeJ. M.SeegerM. W. (2007). Media use and information needs of the disabled during a natural disaster. Journal of Health Care for the Poor and Underserved, 18, 394-404. doi:10.1353/hpu.2007.0047
47.
SpenceP. R.LachlanK. A.GriffinD. R. (2007). Crisis communication, race, and natural disasters. Journal of Black Studies, 37, 539-554. doi:10.1177/0021934706296192
48.
Taylor-ClarkK. A.ViswanathK.BlendonR. J. (2010). Communication inequalities during public health disasters: Katrina’s wake. Health Communication, 25, 221-229. doi:10.1080/10410231003698895
49.
ThompsonB.DanielL. G. (1996). Factor analytic evidence for the construct validity scores: A historical overview and some guidelines. Educational and Psychological Measurement, 56, 197-208. doi:10.1177/001316449605002001
50.
U.S. Bureau of Labor Statistics. (2016). Earnings and unemployment rates by educational attainment, 2015. Retrieved from http://www.bls.gov/emp/ep_chart_001.htm
51.
VillanuevaG.BroadG. M.GonzalezC.Ball-RokeachS.MurphyS. T. (2016). Communication asset mapping: An ecological field application toward building healthy communities. International Journal of Communication, 10, 2704-2724.
52.
WilkinH. A.StringerK. A.O’QuinK.MontgomeryS. A.HuntK. (2011). Using communication infrastructure theory to formulate a strategy to locate “hard-to-reach” research participants. Journal of Applied Communication Research, 39, 201-213. doi:10.1080/00909882.2011.556140
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