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Books > Social sciences > Sociology, social studies > Social research & statistics > General
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.
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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.
Updates the premier textbook for students and librarians needing to
know the landscape of current databases and how to search them.
Librarians need to know of existing databases, and they must be
able to teach search capabilities and strategies to library users.
This practical guide introduces librarians to a broad spectrum of
fee-based and freely available databases and explains how to teach
them. The updated 6th edition of this well-regarded text covers new
databases on the market as well as updates to older databases. It
also explains underlying information structures and demonstrates
how to search most effectively. It introduces readers to several
recent changes, such as the move away from metadata-based indexing
to full text indexing by vendors covering newspaper content.
Business databases receive greater emphasis. As in the previous
edition, this book takes a real-world approach, covering topics
from basic and advanced search tools to online subject databases.
Each chapter includes a thorough discussion, a recap, concrete
examples, exercises, and points to consider, making it an ideal
text for courses in database searching as well as a trustworthy
professional resource. Helps librarians and students understand the
latest developments in library databases Looks not only at textual
databases but also numerical, image, video, and social media
resources Includes changes and trends in database functionality
since the 5th edition
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.
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