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Robust political economy (RPE) is a research program that combines insights from Austrian economics and public choice to evaluate the performance of institutions in cases of limited knowledge and limited altruism, or “worst-case scenarios.” Many critics of RPE argue that it is too narrowly focused on the bad motivations and inadequacies of social actors while smuggling in classical liberal normative commitments as part of a purported solution to these problems. This chapter takes a different tack by highlighting the ways that RPE as currently understood may not be robust against particularly bad conduct. It suggests that depending on the parameters of what constitutes a worst-case scenario, classical liberal institutions, especially a minimal state, may turn out to be less robust than some conservative or social democratic alternatives.

Purpose – This chapter examines how those who study issues related to radicalization and counter-radicalization have recently drawn from the experiences of former extremists to inform our understanding of complex issues in terrorism and extremism studies.

Approach – The authors synthesize the empirical research on radicalization and counter-radicalization that incorporates formers in the research designs. In doing so, the authors trace these research trends as they unfold throughout the life-course: (1) extremist precursors; (2) radicalization toward extremist violence; (3) leaving violent extremism; and (4) combating violent extremism.

Findings – While formers have informed our understanding of an array of issues related to radicalization and counter-radicalization, empirical research in this space is in its infancy and requires ongoing analyses.

Value – This chapter provides researchers, practitioners, and policymakers with an in-depth account of how formers have informed radicalization and counter-radicalization research in recent years as well as an overview of some of the key gaps in the empirical literature.

To explain how reading, rewinding a story in reverse order, and then rereading allows a reader to contextualize information, acquiring not only major themes and events but also details and other literacy characteristics of the literature selection.

A representation of sequencing structures is discussed including world-related, concept-related, inquiry-related, learning-related, and utilization-related. In addition, the instructional design aspects of backwards sequencing are discussed.

Just as a level or stud finder uses a back-and-forth approach for finding the most suitable position, so does the backwards sequential approach to reading comprehension. By slowing down and focusing on parts before the whole, students are more likely comprehend content.

The importance of prediction towards comprehension has been recognized for decades. However, using a learning design that features reading a story once, then revisiting the story structure components in backwards order, and finally reading it again, allows for precise and complete learning. This theory has research and pedagogical implications for students of all ages.

This paper replicates four highly cited, classic lab experimental studies in the provision of public goods. The studies consider the impact of marginal per capita return and group size; framing (as donating to or taking from the public good); the role of confusion in the public goods game; and the effectiveness of peer punishment. Considerable attention has focused recently on the problem of publication bias, selective reporting, and the importance of research transparency in social sciences. Replication is at the core of any scientific process and replication studies offer an opportunity to reevaluate, confirm or falsify previous findings. This paper illustrates the value of replication in experimental economics. The experiments were conducted as class projects for a PhD course in experimental economics, and follow exact instructions from the original studies and current standard protocols for lab experiments in economics. Most results show the same pattern as the original studies, but in all cases with smaller treatment effects and lower statistical significance, sometimes falling below accepted levels of significance. In addition, we document a “Texas effect,” with subjects consistently exhibiting higher levels of contributions and lower free-riding than in the original studies. This research offers new evidence on the attenuation effect in replications, well documented in other disciplines and from which experimental economics is not immune. It also opens the discussion over the influence of unobserved heterogeneity in institutional environments and subject pools that can affect lab results.