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Media Innovation and Entrepreneurship

Contributors: Ferrier and Mays

Publisher: Rebus Community

License: CC BY

This is the first edition of a modular open textbook designed for entrepreneurial journalism, media innovation, and related courses. This book has been undergoing student and faculty testing and open review in fall 2017. Feedback has been implemented in Version 1.0 and will continue to be implemented in Version 2.0 (ETA spring 2018). An accompanying handbook will include additional activities, ancillary materials and faculty resources on media innovation for instructors.

(8 reviews)

Literature Reviews for Education and Nursing Graduate Students

Contributors: Frederiksen and Phelps

Publisher: Rebus Community

License: CC BY

Literature Reviews for Education and Nursing Graduate Students is an open textbook designed for students in graduate-level nursing and education programs. Its intent is to recognize the significant role the literature review plays in the research process and to prepare students for the work that goes into writing one. Developed for new graduate students and novice researchers just entering into the work of a chosen discipline, each of the eight chapters covers a component of the literature review process. Students will learn how to form a research question, search existing literature, synthesize results and write the review. The book contains examples, checklists, supplementary materials, and additional resources. Literature Reviews for Education and Nursing Graduate Students is written by two librarians with expertise guiding students through research and writing assignments, and is openly licensed.

(13 reviews)

Public Health Ethics: Global Cases, Practice, and Context

Contributors: Barrett, Dawson, and Ortmann

Publisher: Springer

License: CC BY-NC

Introducing public health ethics poses two special challenges. First, it is a relatively new field that combines public health and practical ethics. Its unfamiliarity requires considerable explanation, yet its scope and emergent qualities make delineation difficult. Moreover, while the early development of public health ethics occurred in a western context, its reach, like public health itself, has become global. A second challenge, then, is to articulate an approach specific enough to provide clear guidance yet sufficiently flexible and encompassing to adapt to global contexts. Broadly speaking, public health ethics helps guide practical decisions affecting population or community health based on scientific evidence and in accordance with accepted values and standards of right and wrong. In these ways, public health ethics builds on its parent disciplines of public health and ethics. This dual inheritance plays out in the definition the U.S. Centers for Disease Control and Prevention (CDC) offers of public health ethics: “A systematic process to clarify, prioritize, and justify possible courses of public health action based on ethical principles, values and beliefs of stakeholders, and scientific and other information” (CDC 2011). Public health ethics shares with other fields of practical and professional ethics both the general theories of ethics and a common store of ethical principles, values, and beliefs. It differs from these other fields largely in the nature of challenges that public health officials typically encounter and in the ethical frameworks it employs to address these challenges. Frameworks provide methodical approaches or procedures that tailor general ethical theories, principles, values, and beliefs to the specific ethical challenges that arise in a particular field. Although no framework is definitive, many are useful, and some are especially effective in particular contexts. This chapter will conclude by setting forth a straightforward, stepwise ethics framework that provides a tool for analyzing the cases in this volume and, more importantly, one that public health practitioners have found useful in a range of contexts. For a public health practitioner, knowing how to employ an ethics framework to address a range of ethical challenges in public health—a know-how that depends on practice—is the ultimate take-home message.

(13 reviews)

Read more about Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R) - 3rd Edition

Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R) - 3rd Edition

Contributors: Jenkins-Smith and Ripberger

Publisher: University of Oklahoma Libraries

License: CC BY

The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive statistics, probability, inference, and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares, the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression, the assumptions that underlie these methods, and then provides a short introduction to generalized linear models.

(8 reviews)

An Introduction to Cooperation and Mutualism

Contributor: Boland

Publisher: University of Minnesota Libraries Publishing

License: CC BY-NC

This textbook introduces readers to the idea of cooperation and mutualism. Cooperatives and mutuals are participatory organizations in which members participate in control and governance, receive economic benefits through patronage refunds or net income, and become owners through equity. These mutual-benefit organizations exist alongside non-profit organizations and investor-benefit organizations through the global economy.

(2 reviews)

Introductory Statistics with Randomization and Simulation - First Edition

Contributors: Diez, Barr, and Çetinkaya-Rundel

Publisher: OpenIntro

License: CC BY-NC-SA

We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods.

(5 reviews)

Wellbeing, Freedom and Social Justice: The Capability Approach Re-Examined

Contributor: Robeyns

Publisher: Open Book Publishers

License: CC BY

How do we evaluate ambiguous concepts such as wellbeing, freedom, and social justice? How do we develop policies that offer everyone the best chance to achieve what they want from life? The capability approach, a theoretical framework pioneered by the philosopher and economist Amartya Sen in the 1980s, has become an increasingly influential way to think about these issues.

(1 review)

Mapping, Society, and Technology

Contributor: Manson

Publisher: University of Minnesota Libraries Publishing

License: CC BY-NC

This book is about how to read, use, and create maps. Our exploration of maps will be informed by a contextual understanding of how maps reflect the relationship between society and technology, and how mapping is an essential form of scientific and artistic inquiry. We will also explore how mapping is used to address a variety of societal issues, such as land use planning and political gerrymandering. You will gain insight into the technical underpinnings of mapping as a science approach, complement on-going interest and activities, or provide an applied focus for research or policy.

(3 reviews)

Introduction to GNU Octave: A brief tutorial for linear algebra and calculus students

Contributor: Lachniet

Publisher: Jason Lachniet

License: CC BY-SA

This brief book provides a noncomprehensive introduction to GNU Octave, a free open source alternative to MatLab. The basic syntax and usage is explained through concrete examples from the mathematics courses a math, computer science, or engineering major encounters in the first two years of college: linear algebra, calculus, and differential equations.

(2 reviews)

Learning Statistics with R: A tutorial for psychology students and other beginners

Contributor: Navarro

Publisher: Danielle Navarro

License: CC BY-SA

Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.

(4 reviews)