Not practicing what they preached! Exploring negative spillover effects of news about ex-politicians’ hypocrisy on party attitudes,voting intentions,and political trust

ABSTRACT

Political hypocrisy – a frequent feature of contemporary politics – oftentimes occurs when politicians resign from office and then engage in behavior that is in fundamental opposition to the standpoints they originally campaigned for as incumbents. Previous research has neglected to examine negative spillover effects of news about ex-politicians’ hypocritical behavior. Drawing from the inclusion/exclusion model and the feelings-as-information model, we conducted two experiments in two different countries and used different stimuli to increase external validity. Results suggest a dual process account of scandal spillover effects (an attitudinal and emotional mechanism) revealing that hypocrisy negatively affected both attitudes and emotions toward an ex-politician. Mediation analysis further showed that evaluations in turn negatively affected attitudes and voting intentions for the party the hypocritical politician used to belong to (attitudinal spillover process). No effects on general political trust emerged. In contrast, negative emotions had no effect on party attitudes and voting intentions but decreased political trust toward politicians in general (emotional spillover process). In line with the inclusion/exclusion model, the results help to explain inconsistent findings in previous studies that did not account for the suggested dual process account of spillover effects and underline the eroding effects of hypocrisy.     

Using Response Times for Joint Modeling of Response and Omission Behavior

Abstract

For adequate modeling of missing responses, a thorough understanding of the nonresponse mechanisms is vital. As a large number of major testing programs are in the process or already have been moving to computer-based assessment, a rich body of additional data on examinee behavior becomes easily accessible. These additional data may contain valuable information on the processes associated with nonresponse. Bringing together research on item omissions with approaches for modeling response time data, we propose a framework for simultaneously modeling response behavior and omission behavior utilizing timing information for both. As such, the proposed model allows (a) to gain a deeper understanding of response and nonresponse behavior in general and, in particular, of the processes underlying item omissions in LSAs, (b) to model the processes determining the time examinees require to generate a response or to omit an item, and (c) to account for nonignorable item omissions. Parameter recovery of the proposed model is studied within a simulation study. An illustration of the model by means of an application to real data is provided.