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Thinking like a policy analyst : policy analysis as a clinical profession
The world of policy represents the confluence of a number of intellectual strands in which the clinician brings science together with intuition, and uses his or her experience to interpret the evidence and make recommendations for treatment. This important volume brings together leading scholars to explore the \"how\" of thinking about policy - the questions, values, judgments and experience the analyst brings to bear.
eBook
Evidence-based policy-making in Canada : a multidisciplinary look at how evidence and knowledge shape Canadian public policy
\"Considers how governments in Canada have historically interacted with research and what directions these interactions may take in the future.\"--Publishers website
Book
Quantity and Quality in Social Research
This book focuses upon the debate about quantitative and qualitative research which took root in the 1960s, although many of the central themes go back centuries. The basic terms of the debate have been felt in many of the disciplines which make up the social sciences, especially sociology, social psychology, education research, organization studies, and evaluation research.
eBook
Big Data, Little Data, No Data
\"Big Data\" is on the covers ofScience, Nature, theEconomist, andWiredmagazines, on the front pages of theWall Street Journaland theNew York Times.But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six \"provocations\" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
eBook
Comparative policy studies : conceptual and methodological challenges
\"The role of comparative analysis in policy studies has gained increasing importance in recent years. Comparative policy studies aims at comparing and contrasting public policy making across sectoral, regional and national boundaries in order to overcome challenges in the formulation, implementation and evaluation of public policy. This book is the first in its field to provide scholars and policy-makers with both compelling comparative research design and methodology in one place. In contrast to general manuals on comparative methodology, this book specifically addresses key research design and methodological challenges that comparative policy studies typically faces and draws on rich empirical illustrations. Written by an outstanding cast of contributors, this volume is essential reading for scholars and students of comparative public policy. \"-- Provided by publisher.
Book
Purposive sampling in qualitative research: a framework for the entire journey
Purposive sampling (PS) is one of the most commonly used approaches in qualitative research across a wide range of scientific disciplines. Despite its popularity, there is still no research-based framework for conducting, teaching and evaluating PS applications. In this study, we articulate a framework developed from insights collected from thirteen professors and senior research experts at leading universities and research centers worldwide, across eight distinct social science disciplines in the fields of education, business and health policy. The data were collected through semi-structured interviews and then analyzed using the codebook thematic analysis technique. The proposed PS framework embraces the flexibility, inductive and coherence principles of qualitative inquiry. It provides an application guide for novice researchers and postgraduate students, and an appraisal tool for academics, principal investigators and journal reviewers. Additionally, the results highlight the important role of supervisors and principal investigators in the entire research process.
Journal Article
The CIPP evaluation model : how to evaluate for improvement and accountability
\"The authoritative presentation of a leading evaluation approach, this book describes the CIPP (Context, Input, Process, and Product) Model's origin, concepts, and procedures. Unlike many models, CIPP provides for feedback throughout a program. Richly illustrated with evaluation cases, the book covers methods for engaging stakeholders; designing, budgeting, and contracting evaluations; collecting, analyzing, and reporting information; and conducting metaevaluations. User-friendly features include 26reproducible checklists and forms and references to relevant computer programs. Purchasers get access to a companion website where they can download and print the reproducible tools as well as supplementary materials, including the CIPP Evaluation Model Checklist. Pedagogical Features: *Introduction boxes providing an overview of each chapter. *Within-chapter recaps of key concepts. *End-of-chapter review questions and exercises. *End-of-book glossary. *Appendix listing hundreds of CIPP evaluations across disciplines\"-- Provided by publisher.
Book
Learning and Expectations in Macroeconomics
A crucial challenge for economists is figuring out how people interpret the world and form expectations that will likely influence their economic activity. Inflation, asset prices, exchange rates, investment, and consumption are just some of the economic variables that are largely explained by expectations. Here George Evans and Seppo Honkapohja bring new explanatory power to a variety of expectation formation models by focusing on the learning factor. Whereas the rational expectations paradigm offers the prevailing method to determining expectations, it assumes very theoretical knowledge on the part of economic actors. Evans and Honkapohja contribute to a growing body of research positing that households and firms learn by making forecasts using observed data, updating their forecast rules over time in response to errors. This book is the first systematic development of the new statistical learning approach.
Depending on the particular economic structure, the economy may converge to a standard rational-expectations or a \"rational bubble\" solution, or exhibit persistent learning dynamics. The learning approach also provides tools to assess the importance of new models with expectational indeterminacy, in which expectations are an independent cause of macroeconomic fluctuations. Moreover, learning dynamics provide a theory for the evolution of expectations and selection between alternative equilibria, with implications for business cycles, asset price volatility, and policy. This book provides an authoritative treatment of this emerging field, developing the analytical techniques in detail and using them to synthesize and extend existing research.
eBook