This is the definitive guide to doing constructivist grounded theory. From gathering rich data and conducting interviews, to undertaking coding and writing up your study, this down-to-earth book guides you through all the steps you need to do grounded theory research. This revised third edition: Showcases 9 new case studies of grounded theory research in action from scholars across the globe, including Australia, Canada, Japan and the United States. Enables you to see, at a glance, how each chapter will develop your understanding with new learning objectives. Supports you to expand your knowledge with new further reading suggestions in every chapter. Retaining Kathy Charmaz's characteristic warm and accessible style, this book is essential reading for anyone - undergraduate, postgraduate or researcher - looking to understand and do grounded theory research.
This practical textbook offers a hands-on introduction to big data analytics, helping you to develop the skills required to hit the ground running as a data professional. It complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life examples and datasets. Containing comprehensive coverage of all the key topics in this area, this book uses open-source technologies and examples in Python and Apache Spark. Learning features include: - Ethics by Design encourages you to consider data ethics at every stage. - Industry Insights facilitate a deeper understanding of the link between what you are studying and how it is applied in industry. - Datasets, questions, and exercises giveyou the opportunity to apply your learning. Dr Funmi Obembe is the Head of Technology at the Faculty of Arts, Science and Technology, University of Northampton. Dr Ofer Engel is a Data Scientist at the University of Groningen.
Although longitudinal social network data are increasingly collected, there are few guides on how to navigate the range of available tools for longitudinal network analysis. Author Scott Duxbury assumes that the reader is familiar with network measurement, description, and notation, and is versed in regression analysis, but is likely unfamiliar with statistical network methods. The goal of the book is to guide readers towards choosing, applying, assessing, and interpreting a longitudinal network model, and each chapter is organized with a specific data structure or research question in mind. A companion website includes data and R code to replicate the examples in the book.
Elementary Statistics: A Guide to Data Analysis Using R provides students with an introduction to both the field of statistics and R, one of the most widely used languages for statistical computing, analysis, and graphing in a variety of fields, including the sciences, finance, banking, health care, e-commerce, and marketing. Part I provides an ......
This book showcases the different ways in which contemporary forms of data analysis are being used in urban planning and management. It highlights the emerging possibilities that city-regional governance, technology and data have for better planning and urban management - and discusses how you can apply them to your research. Including perspectives from across the globe, it's packed with examples of good practice and helps to demystify the process of using big and open data. Learn about different kinds of emergent data sources and how they are processed, visualised and presented. Understand how spatial analysis and GIS are used in city planning. See examples of how contemporary data analytics methods are being applied in a variety of contexts, such as 'smart' city management and megacities. Aimed at upper undergraduate and postgraduate students studying spatial analysis and planning, this timely text is the perfect companion to enable you to apply data analytics approaches in your research.
This book showcases the different ways in which contemporary forms of data analysis are being used in urban planning and management. It highlights the emerging possibilities that city-regional governance, technology and data have for better planning and urban management - and discusses how you can apply them to your research. Including perspectives from across the globe, it's packed with examples of good practice and helps to demystify the process of using big and open data. Learn about different kinds of emergent data sources and how they are processed, visualised and presented. Understand how spatial analysis and GIS are used in city planning. See examples of how contemporary data analytics methods are being applied in a variety of contexts, such as 'smart' city management and megacities. Aimed at upper undergraduate and postgraduate students studying spatial analysis and planning, this timely text is the perfect companion to enable you to apply data analytics approaches in your research.
Emergent Approaches for Education Research: What Counts as Innovative Educational Knowledge and What Education Research Counts?
Margarita Pivovarova is an Assistant Professor of Education Economics at the Mary Lou Fulton Teachers College at Arizona State University. Her research interests include education policy and related quantitative research. Specifically, her research studies the economic consequences of accountability and financial incentives in education. In addition, she studies peer interactions in school contexts and optimal classroom or school design.
A Guide to Privacy & Data Security For Australian Business
Cyber security and privacy is a critical issue for Australian businesses. Privacy & cyber law experts, Nick Abrahams and Jim Lennon, have written this book which provides an essential summary of Australian privacy laws, including recent mandatory data breach notification obligations.
This practical and easy-to-read book includes: an explanation ......
Changing Teaching Practice in P-20 Educational Settings
Edited by Terri D. Pigott, Ann Marie Ryan, and Charles Tocci, the purpose of this volume is to present high-quality reviews that examine change to teaching practice from a variety of perspectives and a range of disciplines with an eye toward the enormous scope of the field. Taken as a whole, this volume presents a compelling profile of the core challenges and opportunities facing those engaged in the work of changing teaching practice and those who research these efforts. Divided into four sections, the first section of this volume delves into the history and policy of changing teaching practice, the second set of chapters consider the capacity of teachers to make changes, the third set of chapters review literature examining how to change practice in numerous settings in various ways, and the final section of the volume centers on emerging issues for practice. This volume considers some of the most critical problems facing educators and scholars today: how our history shapes our present-day possibilities, how we develop the capacity of educators to change and improve practice, the innumerable aspects that can be changed, which dimensions of teaching should we prioritize, and what emerging issues will shape this work in the coming years?
