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  1. Forming homogeneous clusters for differential risk information.

    Article, Communication - En anglais

    Radiation risk, risk perception and social constructions. Workshop. Oslo (NOR), 1995/10/19.

    Latent risk situations are always present in society.

    General information on these risk situations is supposed to be received differently by different groups of people in the population.

    In the aftermath of specific accidents different groups presumably have need of specific information about how to act to survive, to avoid injuries, to find more information, to obtain facts about the accidents etc.

    As targets for information these different groups could be defined in different ways.

    The conventional way is to divide the population according to demographic variables, such as age, sex, occupation etc.

    Another way would be to structure the population according to dependent variables measured in different studies.

    They may concern risk perception, emotional reactions, specific technical knowledge of the accidents, and belief in the information sources.

    One procedure for forming such groupings of people into homogeneous clusters would be by statistical clustering methods on dependent variables.

    Examples of such clustering procedures are presented and discussed.

    Data are from a Norwegian study on the perception of radiation from nuclear accidents and other radiation sources.

    Speculations are made on different risk information strategies.

    Elements of a research programme are proposed.

    Mots-clés Pascal : Analyse risque, Méthode différentielle, Communication information, Impact social, Population, Démographie, Estimation paramètre, Méthode statistique, Source rayonnement, Radiocontamination, Echantillonnage en grappe, Accident nucléaire

    Mots-clés Pascal anglais : Risk analysis, Differential method, Information communication, Social impact, Population, Demography, Parameter estimation, Statistical method, Radiation source, Radioactive contamination, Cluster sampling

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 97-0121103

    Code Inist : 002B30A01C. Création : 21/05/1997.