Interrupted time series (ITS) are often meta-analysed to inform public health and policy decisions but examination of the statistical methods for ITS analysis and meta-analysis in this context is limited. We simulated meta-analyses of ITS studies with continuous outcome data, analysed the studies using segmented linear regression with two…

The general feeling is that no predictions can be made based on agent-based social simulations. The outcomes of social simulations are based on the behaviors of individuals and their interactions. Behavioral models are always incomplete and often, also incorrect with respect to real behavior and thus the outcomes of agent-based social simulations…

The purpose of this research was to explore how effective the bottom-up approach to producing and shaping educational legislation is in Ukraine and to identify what observed changes take place in students if the bottom-up approach is simulated in the classroom. Qualitative instruments and observational data were used to yield the data. Those were…

Agent-based models combine data and theory during both development and use of the model. As models have become increasingly data driven, it is easy to start thinking of agent-based modelling as an empirical method, akin to statistical modelling, and reduce the role of theory. We argue that both types of information are important where the past is…

Simulations are traditionally divided into three phases, namely preparation, interaction, and debriefing. This article argues that the first phase has been neglected. The preparation phase is indeed widely seen as necessary but merely instrumental to the interaction phase of simulations rather than as a self-contained activity that may also…

In an effort to help students better understand the complexity of making environmental policy and the role of policy actors in this process, we developed a mock congressional hearing simulation. In this congressional hearing, students in two environmental policy courses take on the roles of members of Congress and various interest groups to…

A major obstacle to developing evidenced-based policy is the difficulty of implementing randomized experiments to answer all causal questions of interest. When using a nonexperimental study, it is critical to assess how much the results could be affected by unmeasured confounding. We present a set of graphical and numeric tools to explore the…

The case for education can be made from many perspectives. This paper makes the case for education based on economic outcomes. Surveying the most recent empirical evidence, it shows the crucial role of education for individual and societal prosperity. Education is a leading determinant of economic growth, employment, and earnings in modern…

Education planning provides the policy maker and the decision maker a logical framework in which to develop and implement education policy. At the international level, education planning is often confounded by both internal and external complexities, making the development of education policy difficult. This research presents a discrete event…

One of the difficulties in teaching global sustainability in the introductory political science classes is the different emphases placed on this concept and the absence of the consensus on where the overall balance between environmental protection, economic development, and social justice should reside. Like many fuzzy concepts with which students…

This article examines the foundations of gaming and related concepts, such as policy exercises and serious gaming, in a public policy making context. Examining the relevant publications in "Simulation & Gaming" since 1969, the author looks back at the development of gaming simulation for purposes such as public policy analysis and planning, and…

Teachers of political science have increasingly recognized the utility of classroom simulations to provide students with an active-learning experience to enhance learning outcomes. Our article builds on this growing trend by proposing a congressional simulation to help students understand the complexities and nuances of the lawmaking process.…

A simulation of the foreign policy decision-making process, as described in this article, can assist an instructor in linking students' abstract understanding of complex political events, circumstances, and decision making to the real-world interplay of the multiple factors involved in decision making. It is this type of active learning that helps…

This report describes work using nationally representative 2005 data from the School Nutrition Dietary Assessment-III (SNDA-III) study to develop a simulation model to predict the potential implications of changes in policies or practices related to school meals and school food environments. The model focuses on three domains of outcomes: (1) the…

The poliheuristic (PH) theory of decision making has made important contributions to our understanding of political decision making but remains silent about certain key aspects of the decision process. Specifically, PH theory contends that leaders screen out politically unacceptable options, but it provides no guidance on (1) the crucial threshold…