The book is supported by discussion of relevant theory and research in cultural sociology.Beyond Race: Cultural Influences on Human Social Life has stressed learner-centered teaching with the instructor taking on the role of a facilitator of learning. As such, it is expected the instructor will serve as the mediator between the content of this book and learners’ understanding of material on multiple and higher levels. This book does not offer a set of rules in teaching cultural sociology, but rather suggests content and applications to consider and modify as needed by the ever-changing dynamics of instructors and learners.
Matthew DeCarlo, Radford University
As an introductory textbook for social work students studying research methods, this book guides students through the process of creating a research project. Students will learn how to discover a researchable topic that is interesting to them, examine scholarly literature, formulate a proper research question, design a quantitative or qualitative study to answer their question, carry out the design, interpret quantitative or qualitative results, and disseminate their findings to a variety of audiences. Examples are drawn from the author's practice and research experience, as well as topical articles from the literature.
Steven Manson, University of Minnesota
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.
When you first think of personality, what comes to mind? When we refer to certain people as being “personalities,” we usually mean they are famous, people like movie stars or your favorite band. When we describe a person as having “lots of personality,” we usually mean they are outgoing and fun-loving, the kind of person we like to spend time with. But does this tell us anything about personality itself? Although we may think we have an understanding of what personality is, professional psychologists always seek to move beyond what people think they know in order to determine what is actually real or at least as close to real as we can come. In the pursuit of truly understanding personality, however, many personality theorists seem to have been focused on a particularly Western cultural approach that owes much of its history to the pioneering work of Sigmund Freud.
Peter Jones, James Cook University
Debra Miles, James Cook University
Narayan Gopalkrishnan, James Cook University
Intercultural learning: Critical preparation for international student travel aims to take students beyond practical preparation, to equip them with a critical lens through which to view and understand their international experiences. The book leads students toward a deeper understanding of culture and cultural difference through an exploration of challenging concepts such as imperialism, racism, privilege and intercultural practice.
Danielle Navarro, University of New South Wales
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.
This book is designed as a foundational entry point to International Relations theory – structured to condense the most important information into the smallest space and present that information in an accessible manner. The first half of the book covers the theories that are most commonly taught in undergraduate programmes. The book then expands to present emerging approaches and offer wider perspectives. Each chapter sets out the basics of a theory whilst also applying it to a real-world event or issue, creating a lively, readable and relevant guide that will help students to see not only what theories are – but why they matter.
Ingrid Robeyns, Ethics Institute of Utrecht University
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.
Richard Garlikov, Troy University
This book explores the philosophical views on the meaning of love. The text explores a variety of topics used to define love, including attraction, relationship satisfaction, emotional, and ethical considerations. The author takes a rational, logical, analytic, and scrutinizing look at experiences and other forms of literature on the subject of love.
Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R): 3rd Edition
Hank Jenkins-Smith, University of Oklahoma
Joseph Ripberger, University of Oklahoma
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.