Theory of Motivated Information Management: A Meta-Analytic Review

Abstract

Abstract The theory of motivated information management ([TMIM]; Afifi & Weiner, 2004) was proposed to explicate the processes through which uncertainty motivates information management. Over the past 15 years, the theory has been tested and applied to a wide range of topics and contexts. The current study meta-analyzes 33 studies from 31 articles that have empirically tested predictions from TMIM. Potential moderating effects of age, issue importance, and study design were also examined. Results, in general, provide support for bivariate associations proposed by TMIM, although these associations are heterogeneous and moderated by the average age of the sample and study design. A path model testing TMIM associations found good model fit after some modifications. Findings highlight the utility of TMIM as a theoretical framework (e.g., proposed paths operate as predicted), but also suggest changes that might better explain the range of ways in which uncertainty motivates information management.