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This book summarizes recent advances in the work on agenda-setting in a comparative perspective. The book first presents and explains the data-gathering effort undertaken within the Comparative Agendas Project over the past ten years. Individual country chapters then present the research undertaken within the many national projects. The third section illustrates the possibilities and directions for new research in comparative public policy using the data presented in this book. All the data used and discussed in the book is moreover publicly available. The book represents a significant contribution to the study of comparative public policy. By introducing a unified research infrastructure it opens up new possibilities for both empirical and theoretical research in this area.
This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)
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The application of statistics has proliferated in recent years and has become increasingly relevant across numerous fields of study. With the advent of new technologies, its availability has opened into a wider range of users. Comparative Approaches to using R and Python for Statistical Data Analysis is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression, this publication is ideally designed for professionals, researchers, academics, graduate students, and practitioners interested in the optimization of statistical data analysis.
Citizens living in presidential or parliamentary systems face different political choices as do voters casting votes in elections governed by rules of proportional representation or plurality. Political commentators seem to know how such rules influence political behaviour. They firmly believe, for example, that candidates running in plurality systems are better known and held more accountable to their constituencies than candidates competing in elections governed by proportional representation. However, such assertions rest on shaky ground simply because solid empirical knowledge to evaluate the impact of political institutions on individual political behaviour is still lacking. The Comparative Study of Electoral Systems has collected data on political institutions and on individual political behaviour and scrutinized it carefully. In line with common wisdom results of most analyses presented in this volume confirm that political institutions matter for individual political behaviour but, contrary to what is widely believed, they do not matter much.
This handbook aims to facilitate a greater understanding of the OECD statistics and indicators produced and so allow for their more effective use in policy analysis.