The theory of uncertainty orientation: A mathematical reformulation

Richard M. Sorrentino*, Michael Smithson, Gordon Hodson, Christopher J.R. Roney, A. Marie Walker

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    31 Citations (Scopus)

    Abstract

    In this paper, we present a mathematical formulation derived from the theory of uncertainty orientation (In R.M. Sorrehtino, & E.T. Higgins (Eds.), the handbook of motivation and cognition: Foundations of social behaviour, Vol. 1 (pp. 379-403). New York: The Guilford press; The uncertain mind: Individual differences in facing the unknown. London: Erlbaum (UK), Taylor & Francis). This formulation integrates affective and informational influences on thought and action. It is a model of self-regulation where the need to maintain clarity and the need to attain clarity are considered as two independent informational tendencies. These informational tendencies are influenced by the degree of self-relevance and the amount of perceived situational uncertainty. In addition, they are multiplicative with affective approach and avoidance tendencies, leading to accentuation or inhibition of behaviors expressed in action. It is further demonstrated that when the nondominant action tendency is instigated, secondary sources of motivation are expressed. This model not only accounts for past data, but also permits exploration using computer simulation. In addition, many new and testable hypotheses, including those related to affect and dynamical decision theory, are generated.

    Original languageEnglish
    Pages (from-to)132-149
    Number of pages18
    JournalJournal of Mathematical Psychology
    Volume47
    Issue number2
    DOIs
    Publication statusPublished - Apr 2003

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