Predicting Confirmation Bias

Abstract

Chapter five provides details of the meta-analyses into confirmation bias. It will show that the analytical conditions of diagnostic weighting of initial information, consistency of information, hypothesis testing instructions and type of information likely have an impact on confirmation bias. It will also show that the results undermine key assumptions in predominant predictions models the inability to identify diagnostic value of information theory concerning confirmation bias (Koslowski and Maqueda 1993, and Kuhn et al. 1988). The chapter proposes alternative models for predicting serial position effects and confirmation bias. These models argue that whilst the risk of occurrence of serial position effects and confirmation bias are impacted by different analytical conditions, they share an underlying cognitive process: a force towards forming a focal hypothesis early on in belief acquisition.