Belief system networks can be used to predict where to expect dynamic constraint

We test if a change in an attitude affects other related attitudes (i.e., dynamic constraint), core prediction of belief systems theory. use psychological network methods to represent the system and make preregistered predictions about which should what extent. collected data two longitudinal experiments (N = 3004; N 2999) three pilot studies (combined 2788) from community samples US Americans. T1 as pretest measures estimate structure sample's generate preregister predictions. At T2 participants were randomly assigned one conditions: control condition (no manipulation), terrorism manipulation (Study 1), crime 2) manipulation, or banking (Studies 1 & 2). successfully manipulated targeted also observed changes non-targeted system. Multilevel models provided evidence that moderated by their distance within system: Non-targeted closer experimentally typically changed more. Changes generally (and mediated by) attitude. discuss implications our findings for theory value studying change.