Like performance enhancing drugs inflating apparent athletic achievements, several common social science practices contribute to the production of illusory results. In this article, we examine the processes that lead to illusory findings and describe their consequences. Borrowing from an...

Deep reinforcement learning using convolutional neural networks is the technology behind autonomous vehicles. Could this same technology facilitate the road to college? During the summer between high school and college, college-related tasks that students must navigate can hinder successful...

This article analyses civil case disposition time by developing hypotheses to explain behavioral and structural determinants of so-called 'delay' and suggesting a novel methodology ('Echronometrics') to account for factors, operating at both macro and micro socio-economic levels, that influence...

This article presents a new perspective on ‘timeliness' through developing novel hypotheses and methodologies to explain behavioural and structural determinants of civil case disposition time. Our proposed more comprehensive methodology presents a powerful explanatory tool to inform future...

Purpose The purpose of this paper is to examine whether mandatory disclosure of information accompanying the sale of real estate achieves its aim of informed purchasers. Design/methodology/approach Using a case study approach focused on mandatory disclosure in South Australia data was collected...

We conduct an experiment to understand how enrollment defaults affect the take up and impact of an education technology. We show that a standard and simplified opt-in process induce low take up. Automatically enrolling parents increases adoption significantly and improves student achievement....

Public opinion researchers, campaigns, and political scientists often rely on self-predicted vote to measure political engagement, allocate resources, and forecast turnout. Despite its importance, little research has examined the accuracy of self-predicted vote responses. Seven pre-election...

Modern campaigns develop databases of detailed information about citizens to inform electoral strategy and to guide tactical efforts. Despite sensational reports about the value of individual consumer data, the most valuable information campaigns acquire comes from the behaviors and direct...

Behavioral science is increasingly being used to develop interventions to influence important behaviors throughout society. We explore three ways that time interacts with psychological processes to affect the impact of behavioral interventions. The first is how and when there would be a lag...