Development and Validation of the Information Behavior Measurement Scale in the Crisis

Document Type : Original Article


Assistant Professor, Shahid Chamran University of Ahvaz, Ahvaz, Iran.



Aim: Information and communication behavior of people in the health crisis plays a crucial role in crisis management and affects public perception and interpretation of crises. One of the research gaps is the lack of tools to study the information behavior of the health crisis in Iranian society. Therefore, the purpose of this study is to create and validate a crisis information behavior questionnaire in Iranian society with an emphasis on public crises.
Methodology: This research is of mixed type (qualitative and quantitative) which has been designed with the tool-making approach. The present study population was citizens of Ahvaz. Four hundred and ten people participated in this study. Questionnaire construction methods such as apparent validity, content, and confirmatory factor analysis were used to assess the validity of the structure. Cronbach's alpha was also used to examine the internal consistency of the factors.
Findings: In order to evaluate the content validity of the Information Behavior Questionnaire in Crisis, we asked twenty-one university professors to comment on the relevance of each item on a scale of 1 to 4. Quantitative I-CVI and S-CVI indices were extracted from their comments. The impact score index for the apparent validity of all items was an acceptable value of more than 1.5, and for the content validity index, the optimal value scale was 0.92. In load factor, all factors were confirmed with a good explanation in factor analysis and Cronbach's alpha for all factors was acceptable from 0.7 to 0.9. The S-CVI value for the whole questionnaire was calculated at 0.92, which seems to be desirable for the whole scale. I-CVI value was also obtained above 0.79. All items in this questionnaire have a good relationship with the structure, and according to experts, the items measure the same purpose for which they were designed. Confirmatory factor analysis was used to evaluate the construct validity of this questionnaire. Perfect fit and incremental fit indices for the developed structural model indicate the appropriate fit of the model with the experimental data. The values obtained for fitting the model to the experimental data are acceptable, and this indicates that the structural model developed by the items and their related structures have a good fit with the data.
In factor analysis, all factors were confirmed with a reasonable explanation, and Cronbach's alpha for all factors was acceptable from 0.7 to 0.9.
Conclusion: The results indicate that there are four main factors of information behavior in a crisis. Findings of this study, which were performed using confirmatory factor analysis and using the research background on crisis information behavior identified four factors: health crisis information seeking, health crisis information sharing, media credibility, and orientation towards health crisis information. The scale designed to study the information behavior of the Iranian community in times of health crisis is considered appropriate and recommended for its use to measure information behavior during health crises.


Main Subjects

Avery, E. (2010). Contextual and audience moderators of channel selection and message reception of public health information in routine and crisis situations. Journal of Public Relations Research, 22, 378–403. DOI:
Barinaga, M. (1994). Biomedicine: Americans donʼt get it. Science, 263, 1225–1226.
Brashers, D.E., Goldsmith, D.J. & Hsieh, E. (2002). Information seeking and avoiding in health contexts. Human communication research, 28(2), 258-271.
Case, D.O. (2002). Looking for information: A survey of research on information seeking, needs, and behavior. CA: Elsevier Science.
Clarke, P. & Kline, F.G. (1974). Media effects reconsidered: Some new strategies for communication research. Communication Research, 1, 224–240.             
Colton, D. & Covert, R.W. (2007). Designing and Constructing Instruments for Social Research and Evaluation. Jossey-Bass: San Francisco.
Cortina, J.M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 98. DOI:
Dreisiebner, S., März, S. & Mandl, T. (2021). Information behavior during the Covid-19 crisis in German-speaking countries. Journal of Documentation, 78(7), 160-175.
Du Benske, L.L., Burke Beckjord, E., Hawkins, R.P. & Gustafson, D.H. (2009). Psychometric evaluation of the Health Information Orientation Scale: a brief measure for assessing health information engagement and apprehension. Journal of health psychology, 14(6), 721–730. DOI:
Fisher, K., Erdelez, S. & McKechnie, L. (2008). Theories of information behavior. Translate by F. Zare Farashbandi, M. Haji Zeinolabedini, Gh. Haydari & L. maktabifard. Editor Z. Bigdeli. Teharn: ketabdar. [in Persian]
Gutteling, J.M. & De Vries, P.W. (2017). Determinants of seeking and avoiding risk‐related information in times of crisis. Risk analysis, 37(1), 27-39.              
Hagar, C. (2010). Whom do you trust? Information seeking during the UK foot and mouth crisis. Library & Archival Security, 23(1), 3-18. DOI:
Halek, M., Holle, D. & Bartholomeyczik, S. (2017). Development and evaluation of the content validity, practicability and feasibility of the Innovative dementia-oriented Assessment system for challenging behavior in residents with dementia. BMC Health Service Researches, 17, 554.
Ibelema, M. & Powell, L. (2001). Cable television news viewed as most credible. Newspaper Research Journal, 22, 41–51. DOI:
Jin, Y., Fraustino, J.D. & Liu, B.F. (2016). The scared, the outraged, and the anxious: How crisis emotions, involvement, and demographics predict 'publics' conative coping. International Journal of Strategic Communication, 10, 289–308.         
Johnson, J.D. (1997). Cancer-related information seeking. NJ: Hampton Press, Inc.
Johnston, R.J. & Taylor, P.J. (1991). A World in Crisis. Washington: Wiley-Blackwell.
Kline, R.B. (2016). Methodology in the social sciences. Principles and practice of structural equation modeling. (4th ed.). Guilford Press.
Lacasse Y., Godbout, C. & Series, F. (2002). Health-related quality of life in obstructive sleep apnoea. European Respiratory Journal, 19, 499-503.
Lariscy, R.W., Avery, E.J., Sweetser, K.D. & Howes, P. (2009). An examination of the role of online social media in 'journalists' source mix. Public Relations Review, 35, 314–316.        
DOI: .008
Lee, Y.I. & Jin, Y. (2019). Crisis information seeking and sharing (CISS): Scale development for measuring 'publics' communicative behavior in social-mediated public health crises. Journal of International Crisis and Risk Communication Research, 2(1), 13-38.            
Liu, B.F., Bartz, L. & Duke, N. (2016). Communicating crisis uncertainty: A review of the knowledge gaps. Public Relations Review, 42, 479–487.        
DOI: https://
Liu, B.F., Fraustino, J.D. & Jin, Y. (2016). Social media use during disasters: How information form and source influence intended behavioral responses. Communication Research, 43,
626–646. DOI: /0093650214565917.
Lu, H.Y. (2003). Information Seeking and Media Credibility: College 'Students' Information Seeking and Perceived Source Credibility during the Crisis of SARS in Taiwan. Media Asia, 30(4), 220-227. DOI:
Magnusson, M. (2014). Information seeking and sharing during a flood-a content analysis of a local ' 'government's facebook page. In: Proceedings of the European Conference on Social Media. Academic Conferences Limited, Reading, UK (pp. 305-311).
Majid, S. & Rahmat, N.A. (2013). Information needs and seeking behavior during the H1N1 virus outbreak. Journal of Information Science Theory and Practice, 1(1), 42-53, 2013.           
Miller, S.M., Brody, D.S. & Summerton, J. (1988). Styles of coping with threat: implications for health. Journal of personality and social psychology, 54(1), 142.  
Morens, D.M. & Fauci, A.S. (2013). Emerging infectious diseases: Threats to human health and global stability. PLoS Pathogens, 9(7), e1003467.             
DOI: https://
Moon, B.B., Rhee, Y. & Yang, S.U. (2016). Developing ' 'public's information transmitting behavior (ITB) model in public relations: A cross-national study. Journal of Public Relations Research, 28, 4–18. DOI: /1062726x.2015.1107482
Motamed Nejad, K. (1991). Mass Media. Tehran: Allameh Tabataba'i University. [in Persian]
Mundfrom, D.J., Shaw, D.G. & Ke, T.L. (2005). Minimum Sample Size Recommendations for Conducting Factor Analyses. International Journal of Testing, 5(2), 159–168.              
Salmon, C.T. (1992). Bridging theory of and theory for communication campaigns: An essay on ideology and public policy. In: S.A. Deetz (Ed.), Communication Yearbook 15 (pp. 346–358), CA: Sage.
Schramm, W.S. (1973). Men, messages, and media. NY: Harper & Row.
Shi, J., Mo, X. & Sun, Z. (2012). Content validity index in scale development. Zhong Na Da Xue Xue Bao Yi Xue Ban, 37(2), 152–5.
Simpkins, J.D. & Brenner, D.J. (1984). Mass media communication and health. In: B. Dervin & M.J. Voight (Eds.), Progress in communication sciences, Vol. 5 (pp. 275–197), NJ: Ablex.
Soroya, S.H., Farooq, A., Mahmood, K., Isoaho, J. & Zara, S.E. (2021). From information seeking to information avoidance: Understanding the health information behavior during a global health crisis. Information Processing & Management, 58(2), 102440.           
Spink, A. (2012). Information behavior: An evolutionary instinct. Translated by Z. Bigdali, F. Rafiei Nesab, E. Aghazadeh Asl, R. Hassanzadeh & R. Kianpour, Sara Tomari. Tehran: Ketabdar Publishing. [in persian]
Thelwall, M. & Stuart, D. (2007). RUOK? Blogging communication technologies during crises. Journal of Computer-Mediated Communication, 12, 523–548.          
Van der Meer, T.G.L.A. (2016). Automated content analysis and crisis communication research. Public Relations Review, 42, 952–961. DOI: https://doi .org/10.1016/j.pubrev.2016.09.001.
Wang, W. & Ahern, L. (2015). Acting on surprise: Emotional response, multiple-channel information seeking and vaccination in the H1N1 flu epidemic. Social Influence, 10, 137–148. DOI:
Worsley, A. (1989). Perceived reliability of sources of health information. Health Education Research, 4, 367–376. DOI:
Yeh, H.F. (1999). An explanatory study of the Internet: A case study of Taiwanʼs Internet users. Online Research Center for Internet Society?. Available at:    
Zaman Zadeh V., Ghahramanian A., Rassouli M., Abbas Zadeh, A. & Alavi H. (2015). Design and implementation content validity Study: development of an instrument for measuring patient-centered communication. Journal of Caring Science, 4(5), 165–78.