How to conduct a Narrative Policy Framework study

The Narrative Policy Framework has a growing number of researchers seeking to apply the framework in policy process scholarship. This article is intended to assist those interested in conducting an NPF study that is ‘clear enough to be wrong’ (Sabatier, 2000). While graduate programs offer critical methodological training, this article focuses on the specific application of the NPF to research inquiries about the role of policy narratives in the policy process. We approach our discussion by examining various decisions in the research process and include a detailed discussion of specifying the model and obtaining narrative data. We also point out areas for further investigation.     

Framing Atmospheres: Goffman,Space, and Music in Everyday Life

In this article, we synthesize Goffman's microsociology with recent developments in fields such as aesthetics, geography, and urban studies labeled “atmosphere theory.” Our central rationale is if microsociology is to deepen its account of embodiment and the noncognitive it needs a theory of spatialized moods. In the second half, we develop our synthesis with respect to musical atmospheres and conclude by drawing on our own research regarding how social actors use music to shape “involvements” and “disinvolvements” in the spatial ambiances of public transportation, the street, the workplace, and the home.     

A stochastically curtailed two-arm randomised phase II trial design for binary outcomes

Randomised controlled trials are considered the gold standard in trial design. However, phase II oncology trials with a binary outcome are often single-arm. Although a number of reasons exist for choosing a single-arm trial, the primary reason is that single-arm designs require fewer participants than their randomised equivalents. Therefore, the development of novel methodology that makes randomised designs more efficient is of value to the trials community. This article introduces a randomised two-arm binary outcome trial design that includes stochastic curtailment (SC), allowing for the possibility of stopping a trial before the final conclusions are known with certainty. In addition to SC, the proposed design involves the use of a randomised block design, which allows investigators to control the number of interim analyses. This approach is compared with existing designs that also use early stopping, through the use of a loss function comprised of a weighted sum of design characteristics. Comparisons are also made using an example from a real trial. The comparisons show that for many possible loss functions, the proposed design is superior to existing designs. Further, the proposed design may be more practical, by allowing a flexible number of interim analyses. One existing design produces superior design realisations when the anticipated response rate is low. However, when using this design, the probability of rejecting the null hypothesis is sensitive to misspecification of the null response rate. Therefore, when considering randomised designs in phase II, we recommend the proposed approach be preferred over other sequential designs.     

Jordan's Public Policy Response to COVID-19 Pandemic: Insight and Policy Analysis

The aim of this study was to gain an understanding of how the Jordanian government has responded and continues to respond to the COVID-19 pandemic. It utilizes the interpretive policy analysis approach through document analysis. The analysis showed that Jordan created social protection policies to assist people who lost their jobs or whose work was suspended due to the coronavirus. The economic policies build solidarity and facilitate the private sector’s recovery. The health care measures firmly applied included lockdown, wearing masks, and restrictions on gatherings and public events. Jordan uses hard power and imposes sanctions on any violation that threatens the lives of others.