The use of experimentation has been both touted and criticized by researchers in the social sciences (Hammond, 2000). Of particular concern is the need to ensure correct scientific conduct of experiments. Advances in multimedia and other human–computer interface technologies provide increased capabilities to replicate environments found in actual crisis situations (Tate et al., 1997 and Beroggi et al., 1995). Aside from the expense of developing such technologies, Weick (1985) has noted that increasing realism in experimental situations may likely lead to reduced generalizability of results. Yet the generalizability of even a “realistic” laboratory study may be compromised if the participants are not experienced in the domain, the result being that the hypotheses postulated may not correspond to the phenomena actually encountered by the emergency manager. In addition, many times the emergency manager cannot control events or activities normally controlled in a laboratory setting. Therefore, there needs to be a quasi-experimental approach that provides statistical power but enables generalization of results to a variety of emergency response settings.