Department of Communication Arts and Sciences and the Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
J Health Commun. 2013;18(1):6-19. doi: 10.1080/10810730.2012.688249. Epub 2012 Sep 28.
Audience segmentation is a useful tool for designing effective campaigns. Further, the efficiency promised in diffusion science rests to some degree on the existence of adopter categories that can be identified and used to strategically disseminate prevention innovations. This study investigates the potential to identify adopter categories in potential recipients (n = 127) of an innovation to prevent food shortages in Mozambique. A 5-class model was found using latent class analysis, but it showed important differences from existing descriptions of adopter categories. Implications for theory and practice are discussed.
受众细分是设计有效活动的有用工具。此外,扩散科学所承诺的效率在某种程度上取决于可以识别和用于战略性传播预防创新的采用者类别。本研究调查了在莫桑比克预防粮食短缺创新的潜在接受者(n=127)中识别采用者类别的潜力。使用潜在类别分析发现了一个 5 类模型,但它与现有的采用者类别描述存在重要差异。讨论了对理论和实践的影响。