Approaches to Ethnography illustrates the various modes of representation and analysis that typify participant observation research. In contrast to the multitude of ethnographic textbooks, handbooks, and readers on the market, this book is neither a "how-to" guide nor a catalogue of substantive themes such as race, community, or space; it also avoids re-hashing epistemological debates, such as grounded theory versus the extended case method. Instead, this volume concisely lays out the predominant analytic lenses that ethnographers use to explain social action-for instance, whether they privilege micro-interaction or social structure, people and places or social processes, internal dispositions or situational contingencies. Each chapter features a prominent ethnographer delineating a distinct approach to the study of everyday life and reflecting on how their approach shapes the way they analyze and represent the field. Taken together, the collection is a practical guide that spells out how different styles of ethnography illuminate different dimensions of everyday social life. As such, Approaches to Ethnography complements and augments-but not duplicate-existing ethnographic methods and logic of inquiry texts for undergraduate and graduate courses on qualitative research methods.

Building a better data culture can be the path to better results and greater equity in schools. But what do we mean by data? Your students are not just statistics. They aren't simply a set of numbers or faceless dots on a proficiency scale. They are vibrant collections of experiences, thoughts, perspectives, emotions, wants, and dreams. And taken collectively, all of that information is data-and should be valued as such. Equity in Data not only unpacks the problematic nature of current approaches to data but also helps educators demystify and democratize data. It shows how we can bake equity into our data work and illuminate the disparities, stories, and truths that make our schools safer and stronger-and that help our students grow and thrive. To this end, the authors introduce a four-part framework for how to create an equitable data culture (along with a complementary set of data principles). They demonstrate how we can rethink our approach to data in the interest of equity by making five shifts: Expand our understanding of data. Strengthen our knowledge of data principles. Break through our fear of data. Decolonize our data gathering processes. Turn data into meaningful, equitable action. We have an opportunity to realign school data with what students want out of their educational experiences. When we put equity first, we put students first.

We live in a multilingual, transforming society in which language plays a dynamic and central role. We use it every day for communication and it is not possible to imagine life without it - it is generally recognised as a mark of what makes us human. But how often do we think about exactly what language is and how we actually use it? Language, society and communication introduces established and new linguistic concepts and theories, and links these to contemporary issues in society and the media, including new social media, with a particular focus on southern Africa. Language, society and communication explores how language is intricately bound up with issues of power, status and identity. It explores the tension between the diverse nature of everyday language practices, on the one hand, and the societal pressures towards managing and containing this diversity, on the other. It also demonstrates the relevance of linguistic study (e.g. phonology and syntax) to real world problems (e.g. analysis of a child's acquisition of language), within a southern African context. Study questions and case studies, which relate the theoretical ideas discussed to current research, are provided at the end of each chapter. Language, society and communication is aimed at undergraduate students studying linguistics, language and communication and related fields such as language education.

In the Fourth Edition of this bestselling book, John W Creswell and new co-author Cheryl N Poth explore the philosophical underpinnings, history and key elements of each of five qualitative inquiry traditions: narrative research, phenomenology, grounded theory, ethnography and case study - putting them side by side, so that we can see the differences. They relate research designs to each of the traditions of enquiry and provide strategies for writing introductions to studies, collecting data, analyzing data, writing a narrative and verifying results.

Due to the COVID-19 pandemic, teacher preparation programs modified their practices to fit the delivery modes of school districts while developing new ways to prepare candidates. Governmental agencies established new guidelines to fit the drastic shift in education caused by the pandemic, and P-12 school systems made accommodations to support teacher education candidates. The pandemic disrupted all established systems and norms; however, many practices and strategies emerged in educator preparation programs that will have a lasting positive impact on P-20 education and teacher education practices. Such practices include the reevaluation of schooling practices with shifts in engagement strategies, instructional approaches, technology utilization, and supporting students and their families. Redefining Teacher Education and Teacher Preparation Programs in the Post-COVID-19 Era provides relevant, innovative practices implemented across teacher education programs and P-20 settings, including delivery models; training procedures; theoretical frameworks; district policies and guidelines; state, national, and international standards; digital design and delivery of content; and the latest empirical research findings on the state of teacher education preparation. The book showcases best practices used to shape and redefine teacher education through the COVID-19 pandemic. Covering topics such as online teaching practices, simulated teaching experiences, and emotional learning, this text is essential for preservice professionals, paraprofessionals, administrators, P-12 faculty, education preparation program designers, principals, superintendents, researchers, students, and academicians.

Ethical Practice of Statistics and Data Science is intended to prepare people to fully assume their responsibilities to practice statistics and data science ethically. Aimed at early career professionals, practitioners, and mentors or supervisors of practitioners, the book supports the ethical practice of statistics and data science, with an emphasis on how to earn the designation of, and recognize, "the ethical practitioner". The book features 47 case studies, each mapped to the Data Science Ethics Checklist (DSEC); Data Ethics Framework (DEFW); the American Statistical Association (ASA) Ethical Guidelines for Statistical Practice; and the Association of Computing Machinery (ACM) Code of Ethics. It is necessary reading for students enrolled in any data intensive program, including undergraduate or graduate degrees in (bio-)statistics, business/analytics, or data science. Managers, leaders, supervisors, and mentors who lead data-intensive teams in government, industry, or academia would also benefit greatly from this book. This is a companion volume to Ethical Reasoning For A Data-Centered World, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the ASA and ACM Ethical Guidelines/Code of Ethics.

The American Statistical Association (ASA) and the Association of Computing Machinery (ACM) have longstanding ethical practice standards that are explicitly intended to be utilized by all who use statistical practices or computing, or both. Since statistics and computing are critical in any data-centered activity, these practice standards are essential to instruction in the uses of statistical practices or computing across disciplines. Ethical Reasoning for a Data-Centered World is aimed at any undergraduate or graduate students utilizing data. Whether the career goal is research, teaching, business, government, or a combination, this book presents a method for understanding and prioritizing ethical statistics, computing, and data science - featuring the ASA and ACM practice standards. To facilitate engagement, integration with prior learning, and authenticity, the material is organized around seven tasks: Planning/Designing; Data collection; Analysis; Interpretation; Reporting; Documenting; and Engaging in Team Work. This book is a companion volume to Ethical Practice of Statistics and Data Science, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the American Statistical Association (ASA) and Association of Computing Machinery (ACM) ethical guideline documents.

This book brings together works by specialists from various areas of the social sciences to reflect on the presence of China in Portugal and in Portuguese-speaking territories. From the first Chinese coolies that migrated to the former Portuguese colonies more than 100 years ago, to the current investments along the Belt and Road Initiative, we take the pulse of this historic, social, political and economic presence and flows, that continues to renew and reinvent itself in the face of the challenges of contemporaneity.