Psychometric Properties of Disaster Event Reaction Items From the Crisis Counseling Individual/Family Encounter Log.

Abstract

OBJECTIVE The purpose of this article was to examine the psychometric properties of the Crisis Counseling Assistance and Training Program (CCP) data collection instrument, the Individual/Family Encounter Log (IFEL). Data collected from disaster survivors included how they reacted to events in emotional, behavioral, physical, and cognitive domains. These domains are based on conceptual categorization of event reactions and allow CCP staff to provide survivors with referrals to appropriate behavioral health support resources, if warranted. METHODS This study explored the factor structure of these survey items to determine how best to use the available information as a screen of disaster-related behavioral health indicators. Specifically, our first research question explored and confirmed the optimal factor structure of the event reaction items, and our second question examined whether the new factor structure was similar across disaster types: hurricanes, tornadoes, floods, and wildfires. Using a factor analytic technique, we tested whether our event reaction outcomes achieved consistent and reliable measurement across different disaster situations. Finally, we assessed how the new subscales were correlated with the type of risk to which CCP disaster survivors were exposed. RESULTS Our analyses revealed 3 factors: (1) depressive-like, (2) anxiety-like, and (3) somatic. In addition, we found that these factors were coherent for hurricanes, floods, and wildfires, although the basic factor structure was not equivalent for tornadoes. CONCLUSION Implications for use of the IFEL in disaster preparedness, response, and recovery are discussed. (Disaster Med Public Health Preparedness. 2016;10:822-831).

DOI: 10.1017/dmp.2016.60

Cite this paper

@article{Uekawa2016PsychometricPO, title={Psychometric Properties of Disaster Event Reaction Items From the Crisis Counseling Individual/Family Encounter Log.}, author={Kazuaki Uekawa and William Bryan Higgins and Samuel W Golenbock and Amy R Mack and Nikki D. Bellamy}, journal={Disaster medicine and public health preparedness}, year={2016}, volume={10 6}, pages={822-831} }