State Profiles 2022: The Population and Economy of Each U.S. State has been completely updated and provides a wealth of current, authoritative, and comprehensive data on key demographic and economic indicators for each U.S. state and the District of Columbia. Each state is covered by a compact standardized chapter that allows for easy comparisons and timely analysis between the states. A ten-page profile for each U.S. state plus the District of Columbia provides reliable, up-to-date information on a wide range of topics, including: population, labor force, income and poverty, government finances, crime, education, health insurance coverage, voting, marital status, migration, and more. If you want a single source of key demographic and economic data on each of the U.S. states, there is no other book like State Profiles. This book provides an overview of the U.S. economy which provides a framework for understanding the state information. State Profiles is primarily useful for public, school, and college and university libraries, as well as for economic and sociology departments. However, anyone needing state-level information including students, state officials, investors, economic analysts, and concerned citizens will find State Profiles wealth of data and analysis absolutely essential!

The Digest of Education Statistics provides a compilation of statistical information covering the broad field of education from prekindergarten through graduate school. It includes a selection of data from many sources and draws especially on the results and activities carried out by the National Center for Education Statistics (NCES).

Projections of Education Statistics to 2027 provides projections for key education statistics. It includes statistics on topics such as enrollment, graduates, teachers, expenditures in elementary and secondary schools, and expenditures of degree-granting institutions. In addition to projections at the national level, the report includes projections of public elementary and secondary school enrollment and public high school graduates to the year 2027 at the state level. The projections in this publication were produced by the National Center for Education Statistics (NCES) to provide researchers, policy analysts, and others with state-level projections developed using a consistent methodology.

The Davis Conference on Organizational Research, held for the last 15 years, is the world's leading conference for qualitative researchers in organizational studies. Scholars receiving the "Best presentation awards" at the Davis Conference for the past 6 years have contributed chapters to this volume. These papers explore social relationships in organizations and work, and cover a diverse set of topics ranging from boundary spanning in collaboration and teamwork to embodied competence at work and beliefs about availability among professionals. Yet all the papers are similar in that they benefited from the community of over 150 scholars developed through the Davis Conference, and represent qualitative research at its very best.

This book focuses on the emergence of creative ideas from cognitive and social dynamics. In particular, it presents data, models, and analytical methods grounded in a network dynamics approach. It has long been hypothesized that innovation arises from a recombination of older ideas and concepts, but this has been studied primarily at an abstract level. In this book, we consider the networks underlying innovation - from the brain networks supporting semantic cognition to human networks such as brainstorming groups or individuals interacting through social networks - and relate the emergence of ideas to the structure and dynamics of these networks. Methods described include experimental studies with human participants, mathematical evaluation of novelty from group brainstorming experiments, neurodynamical modeling of conceptual combination, and multi-agent modeling of collective creativity. The main distinctive features of this book are the breadth of perspectives considered, the integration of experiments with theory, and a focus on the combinatorial emergence of ideas.

Many resources exist to help new doctoral investigators to understand and engage with the tenets and philosophies that underpin doctoral-level research to allow for a sample of self-as-subject research. Every day, new forms of researcher-participant data collection and analysis protocols and contributions to the respective discipline in the use of these methods are designed by doctoral researchers and other scholars for heuristic inquiry and autoethnography. Autoethnography and Heuristic Inquiry for Doctoral-Level Researchers: Emerging Research and Opportunities is an essential research publication that explores the conventions of autoethnography or heuristic research within the specific context of doctoral-level research. In contrast to similar resources, this book presents various and unique systematic methods and procedures used within current research for data collection, analysis, interpretation and representations of data, and study contributions to illustrate the varied nuances and many choices doctoral-level researchers have when their research design is founded on the principles and tenets of autoethnography or heuristic inquiry. Thus, this book is ideal for doctoral research supervisors, doctoral students, independent researchers, and academicians.

This book is open access and available on www.bloomsburycollections.com. It is funded by the University of Sussex, UK. How can we know about children's everyday lives in a digitally saturated world? What is it like to grow up in and through new media? What happens between the ages of 7 and 15 and does it make sense to think of maturation as mediated? These questions are explored in this innovative book, which synthesizes empirical documentation of children's everyday lives with discussions of key theoretical and methodological concepts to provide a unique guide to researching childhood and youth. Researching Everyday Childhoods begins by asking what recent 'post-empirical' and 'post-digital' frameworks can offer researchers of children and young people's lives, particularly in researching and theorising how the digital remakes childhood and youth. The key ideas of time, technology and documentation are then introduced and are woven throughout the book's chapters. Research-led, the book is informed by two state of the art empirical studies - 'Face 2 Face' and 'Curating Childhoods' - and links to a dynamic multimedia archive generated by the studies.

Rigorous, yet readable. The author presents the material with sufficient elaboration, explanation, and examples that not only interest the student, but make it understandable. Introduction to Behavioral Research Methods incorporates the four basic approaches to behavioral research (descriptive research, correlational research, experimental research, and quasi-experimental research), and shows students how to conceptualize questions, measure variables, design studies, and analyze data. Chapters on research ethics and scientific writing (including the most recent version of APA style) round out the book. Throughout each chapter, boxes on "Developing Your Research Skills" and "Behavioral Research Case Study" provide practical examples and pique student interest. Teaching & Learning Experience Personalize Learning - MySearchLab delivers proven results in helping students succeed, provides engaging experiences that personalize learning, and comes from a trusted partner with educational expertise and a deep commitment to helping students and instructors achieve their goals. Improve Critical Thinking - New up-to-date Behavioral Research Case Studies help students apply research to practice. Engage Students - The text is designed to make research methods understandable, useful, and interesting for students. Explore Research - Real research, tidbits about the lives of famous researchers, and intriguing controversies that have arisen in behavioral science are included. A lab manual in MySearchLab helps engage students in the research process. Support Instructors - MyTest, PowerPoints, and an instructor's manual offer additional support for instructors. Note: MySearchLab with eText does not come automatically packaged with this text. To purchase MySearchLab with eText, please visit: www.mysearchlab.com or you can purchase a valuepack of the text + MySearchLab with eText (at no additional cost). VP: 0205196284 / 9780205196289

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are in marketing (customer loyalty, identifying profitable customers, instore promotions, e-commerce populations); in business (teaching data mining, efficiency of the Chinese automobile industry, moderate asset allocation funds); and techniques (veterinary predictive models, data integrity in the cloud, irregular pattern detection in a mobility network and road safety modeling.)

With a clear, engaging writing style and fascinating examples using a variety of real data, this text covers the contemporary statistical techniques that students will encounter in the world of social research. It covers these techniques at an introductory level and carefully guides students through increasingly complex examples without intimidating them. Recurrent examples using four timely topics-health, immigration, income inequality, and everyday harassment-help students understand how the techniques fit together, and how to use the techniques in combination with one another. A superb author-created web resource accompanies the text. How to make clear presentations of research results is also a feature of the text. New to this edition: New research shows how the techniques has changed over time in the academic literature, showing students that social scientists really do use the statistical techniques the book teaches and giving them ample motivation to learn the techniques. Examples throughout the book use the most recent data from the General Social Survey. Four timely topics are threaded throughout the book: immigration, health, income inequality, and everyday harassment. Linneman uses these topics recurrently with different statistical techniques to illustrate how the techniques are related to one another. The new edition more explicitly emphasizes that the various techniques the students are learning are often used in combination with one another. After introducing a new technique and showing how to use it on its own, Linneman then systematically offers examples of how to combine that technique with techniques students learned in previous chapters. Most of the literature examples that end each chapter are new and use very recent research from top academic journals (three quarters from 2015 or later, nearly half from 2019). They feature research that covers timely topics such as Black Lives Matter, transgender health, social media, police behavior, and climate change. The SPSS demonstrations are completely redone, both in the book and on the website's demonstration videos, using more recent data. Linneman applies his experience teaching his own students SPSS (knowing where students get confused) to clarify his explanations in these demonstrations.

Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary. This state-of-the-art book takes a forward-looking perspective on the field of Human Resource Management (HRM). Each contribution takes a view, or position, on the likely development of the HR function, and identifies interesting areas and subjects of research that would help address this future positioning. The book's expert contributors provide short and succinct reviews of 12 key topics in strategic HRM, including HR strategy and structure, talent management, selection, assessment and retention, employee engagement, workplace well-being, leadership, HR analytics, productivity, innovation, and globalisation. Each chapter identifies the strengths and gaps in our knowledge, maps out the important intellectual boundaries for their field, and outlines current and future research agendas and how these should inform practice. In examining these strategic topics the authors point to the key interfaces between the field of HRM and cognate disciplines, enabling researchers and practitioners to understand the models and theories that help tie this agenda together. Offering a comprehensive guide to current research and pioneering perspectives for future avenues of inquiry, this Research Agenda will be essential reading for academics, practitioners and researchers in the field of HRM. Contributors include: J.W. Boudreau, C. Brewster, S. Cartwright, W.F. Cascio, A.H. Church, J. Coetsee, D.G. Collings, C. Cooper, P.C. Flood, J.A. Gruman, A. Hesketh, K. Jiang, J. Kautz, D. Lepak, V. Lin, A. McDonnell, J. McMackin, W. Mayrhofer, L. Otaye-Ebede, R.E. Ployhart, A.M. Saks, K. Sanders, H. Shipton, A. Smale, P. Sparrow, H. Yang

This is the first book to provide a systematic description of statistical properties of large-scale financial data. Specifically, the power-law and log-normal distributions observed at a given time and their changes using time-reversal symmetry, quasi-time-reversal symmetry, Gibrat's law, and the non-Gibrat's property observed in a short-term period are derived here. The statistical properties observed over a long-term period, such as power-law and exponential growth, are also derived. These subjects have not been thoroughly discussed in the field of economics in the past, and this book is a compilation of the author's series of studies by reconstructing the data analyses published in 15 academic journals with new data. This book provides readers with a theoretical and empirical understanding of how the statistical properties observed in firms' large-scale data are related along the time axis. It is possible to expand this discussion to understand theoretically and empirically how the statistical properties observed among differing large-scale financial data are related. This possibility provides readers with an approach to microfoundations, an important issue that has been studied in economics for many years.

What obligations to each other do people have or think they have? That question comes up in relation to family and marriage relationships, to law, and to moral reasoning. This novel and highly readable book takes it up in relation to inheritances: to what people think they should leave or be left, who should receive what, when, how, and why. Making the book novel is its range. Here are views about more than money. Covered are also houses, land and, an often neglected but emotion-laden area, the personal and often indivisible things that mean one is remembered as an individual. Making it novel also is its emphasis throughout on meanings and on what people see as matters of choice or flexibility. Even in countries where the legal codes specify who should receive what after death (many European and most Islamic codes allow far less choice than British-based law does), people still have room for decisions about what they give away to various heirs or spend before death. What makes the book highly readable? One reason is its timeliness. Currently lively, for example, are debates over parents balancing their own needs and wishes against those of their children ("spending the kids' inheritance," in one description). Another is the book's style. The writing is straightforward. Theory is not neglected but there is an absence of jargon. The material is also mostly based on narratives: on people's own descriptions of arrangements that "worked well" or "did not work well" and on why they thought so. That base makes the book far from dry and far from being an account only of negative feelings, objections, challenges, and family rifts. It also makes it more relevant at times of indecision or misunderstanding. In short, a book for many readers, both within the social sciences and beyond it.

Qualitative Comparative Analysis (QCA) is an emerging research method that is highly suitable for evaluation studies. Clear and concise, this book explains how researchers and evaluators can use QCA effectively for the systematic and thorough analysis of large infrastructure projects, while also acknowledging their complexity. Lasse Gerrits and Stefan Verweij present the key steps of this methodology to identify patterns across real-life cases. From collecting and interpreting data to sharing their knowledge and presenting the results, the authors use examples of megaprojects to emphasize how QCA can be used successfully for both single infrastructure ventures as well as more extensive projects. In addition to discussing the best practices and pitfalls of the methodology, further examples from current research are given in order to illustrate how QCA works effectively in both theory and practice. Being written with researchers and evaluators in mind, this book will be of great benefit for students and scholars of evaluation studies, public administration, transport studies, policy analysis and project management. The book is also highly applicable for those working in public or private organizations involved in infrastructure projects looking for an effective, detailed and systematic method of evaluation.