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Introduction to Interrater Agreement for Nominal Data (SpringerBriefs in Statistics)
by Roel PoppingThis introductory book enables researchers and students of all backgrounds to compute interrater agreements for nominal data. It presents an overview of available indices, requirements, and steps to be taken in a research project with regard to reliability, preceded by agreement. The book explains the importance of computing the interrater agreement and how to calculate the corresponding indices. Furthermore, it discusses current views on chance expected agreement and problems related to different research situations, so as to help the reader consider what must be taken into account in order to achieve a proper use of the indices.The book offers a practical guide for researchers, Ph.D. and master students, including those without any previous training in statistics (such as in sociology, psychology or medicine), as well as policymakers who have to make decisions based on research outcomes in which these types of indices are used.
Introduction to Linear Algebra: A Primer for Social Scientists
by Gordon MillsThis is the first book on linear algebra written specifically for social scientists. It deals only with those aspects of the subject applicable in the social sciences and provides a thorough understanding of linear algebra for those who wish to use it as a tool in the design, execution, and interpretation of research. Linear mathematical models play an important role in all of the social sciences. This book provides a step-by-step introduction to those parts of linear algebra which are useful in such model building. It illustrates some of the applications of linear analysis and helps the reader learn how to convert his formulation of a social science problem into algebraic terms. The author covers matrix algebra, computational methods, linear models involving discrete variables, and clear, complete explanations of necessary mathematical concepts. Prior knowledge of calculus is not required since no use is made of calculus or of complex numbers. A novel feature of the mathematical content of the book is the treatment of models expressed in terms of variables which must be whole numbers (integers). The book is distinguished by a step-by-step exposition that allows the reader to grasp quickly and fully the principles of linear algebra. All of the examples used to illustrate the text are drawn from the social sciences, enabling the reader to relate the subject to concrete problems in his field. Exercises are included as a necessary part of the text to develop points not covered in the text and to provide practice in the algebraic formulation of applied problems. An appendix gives solutions (or hints) for selected exercises.
Introduction to Mathematical Sociology
by Phillip Bonacich Philip LuA comprehensive textbook on the tools of mathematical sociology and their applicationsMathematical models and computer simulations of complex social systems have become everyday tools in sociology. Yet until now, students had no up-to-date textbook from which to learn these techniques. Introduction to Mathematical Sociology fills this gap, providing undergraduates with a comprehensive, self-contained primer on the mathematical tools and applications that sociologists use to understand social behavior.Phillip Bonacich and Philip Lu cover all the essential mathematics, including linear algebra, graph theory, set theory, game theory, and probability. They show how to apply these mathematical tools to demography; patterns of power, influence, and friendship in social networks; Markov chains; the evolution and stability of cooperation in human groups; chaotic and complex systems; and more.Introduction to Mathematical Sociology also features numerous exercises throughout, and is accompanied by easy-to-use Mathematica-based computer simulations that students can use to examine the effects of changing parameters on model behavior.Provides an up-to-date and self-contained introduction to mathematical sociologyExplains essential mathematical tools and their applicationsIncludes numerous exercises throughoutFeatures easy-to-use computer simulations to help students master concepts
Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Methodology in the social sciences)
by Andrew F. HayesThis book explains the fundamentals of mediation and moderation analysis and their integration as "conditional process analysis." Procedures are described for testing hypotheses about the mechanisms by which causal effects operate, the conditions under which they occur, and the moderation of mechanisms.
Introduction to Modern Modelling Methods (The SAGE Quantitative Research Kit)
by D. Betsy McCoach Dakota CintronUsing simple and direct language, this concise text provides practical guidance on a wide range of modeling methods and techniques for use with quantitative data. It covers: · 2-level Multilevel Models · Structural Equation Modeling (SEM) · Longitudinal Modeling using multilevel and SEM techniques · Combining organizational and longitudinal models Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Introduction to Modern Modelling Methods (The SAGE Quantitative Research Kit)
by D. Betsy McCoach Dakota CintronUsing simple and direct language, this concise text provides practical guidance on a wide range of modeling methods and techniques for use with quantitative data. It covers: · 2-level Multilevel Models · Structural Equation Modeling (SEM) · Longitudinal Modeling using multilevel and SEM techniques · Combining organizational and longitudinal models Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Introduction to Non-Invasive EEG-Based Brain-Computer Interfaces for Assistive Technologies
by Teodiano Freire Bastos-FilhoThis book aims to bring to the reader an overview of different applications of brain-computer interfaces (BCIs) based on more than 20 years of experience working on these interfaces. The author provides a review of the human brain and EEG signals, describing the human brain, anatomically and physiologically, with the objective of showing some of the patterns of EEG (electroencephalogram) signals used to control BCIs. It then introduces BCIs and different applications, such as a BCI based on ERD/ERS Patterns in α rhythms (used to command a robotic wheelchair with an augmentative and alternative communication (AAC) system onboard it); a BCI based on dependent-SSVEP to command the same robotic wheelchair; a BCI based on SSVEP to command a telepresence robot and its onboard AAC system; a BCI based on SSVEP to command an autonomous car; a BCI based on independent-SSVEP (using Depth-of-Field) to command the same robotic wheelchair; the use of compressive technique in SSVEP-based BCI; a BCI based on motor imagery (using different techniques) to command a robotic monocycle and a robotic exoskeleton; and the first steps to build a neurorehabilitation system based on motor imagery of pedalling together an in immersive virtual environment. This book is intended for researchers, professionals and students working on assistive technology.
Introduction to People Analytics: A Practical Guide to Data-driven HR
by Nadeem Khan Dave MillnerAn understanding of people analytics is a crucial skill for all HR professionals. No longer limited to employees in data teams or those with analyst in their job titles, people analytics is now an integral part of every HR job. Introduction to People Analytics allows all HR professionals to get to grips with analytics, feel confident in their ability to handle employee and organizational data and use analytics to move from opinions to insights.From where to find data in an organization, how to collect it and analyse it through to how to use these findings to add business value, Introduction to People Analytics is essential reading for all HR professionals. With case studies and thought leadership insights from companies who have leveraged people analytics to improve culture and employee engagement, increase performance and reduce costs including NHS, Brompton Bikes, British Heart Foundation, King, Experian and AstraZeneca, FIS and Swarovski, this book shows how and where HR analytics can make a tangible difference to organizations. There is also expert guidance and practical advice on how to embed analytics into HR processes and adopt a data-driven approach to all workplace activities.
Introduction to People Analytics: A Practical Guide to Data-driven HR
by Nadeem Khan Dave MillnerHow can HR practitioners with little or no experience of analytics feel confident in their ability to find, analyse and use workforce data to make better business decisions? This book has the answers.An understanding of people analytics is a crucial skill for all HR professionals. This new edition provides expert guidance on the key aspects of analytics, enabling all HR professionals to feel confident in their ability to handle employee and organizational data. It features new material on applying data to respond to external disruption such as COVID-19 as well as how to develop a people analytics journey. There is also advice on recruiting people analytics specialists and embedding new data-driven operating models within HR.This book is essential reading for all HR professionals to develop understanding of how and where HR analytics can make a tangible difference to organizations. With updated case studies and thought leadership examples from companies including NHS, AstraZeneca and Swarovski, this book demonstrates how people analytics can be leveraged to improve culture and employee engagement, increase performance and reduce costs.
Introduction to Political Psychology
by Thomas Preston Beth Dietz Martha L. Cottam Elena MastorsThe first comprehensive textbook on political psychology, this user-friendly volume explores the psychological origins of political behavior. Using psychological concepts to explain types of political behavior, the authors introduce a broad range of theories and cases of political activity to illustrate the behavior. The book examines many patterns of political behaviors including leadership, group behavior, voting, race, ethnicity, nationalism, political extremism, terrorism, war, and genocide. Text boxes highlight current and historical events to help students see the connection between the world around them and the concepts they are learning. Examples highlight a variety of research methodologies used in the discipline such as experimentation and content analysis. The "Political Being" is used throughout to remind the reader of the psychological theories and concepts to be explored in each chapter. Introduction to Political Psychology explores some of the most horrific things people do to one another for political purposes, as well as how to prevent and resolve conflict, and how to recover from it. The goal is to help the reader understand the enormous complexity of human behavior and the significant role political psychology can play in improving the human condition.Designed for upper division courses on political psychology or political behavior, this volume also contains material of interest to those in the policymaking community.
Introduction to Political Psychology: 3rd Edition
by Thomas Preston Beth Dietz Martha L. Cottam Elena MastorsIntroduction to Political Psychology explores the many psychological patterns that influence individual political behavior. The authors introduce readers to a broad range of theories, concepts, and case studies of political activity, arguing that individuals are driven or motivated to act in accordance with personality characteristics, values, beliefs, and attachments to groups. The book explains many aspects of political behavior—whether seemingly pathological actions or normal decision-making practices, which sometimes work optimally, and sometimes fail. Thoroughly updated throughout, the book examines patterns of political behavior in areas including leadership, group behavior, voting, race, nationalism, terrorism, and war. This edition features coverage of the 2016 election and profiles former U.S. President Donald Trump, while also including updated data on race relations and extremist groups in the United States. Global issues are also considered, with case studies focused on Myanmar and Syria, alongside coverage of social issues including Black Lives Matter and the #MeToo movement. Accessibly written and comprehensive in scope, it is an essential companion for all graduate and upper-level undergraduate students of psychology, political science, and political psychology. It will also be of interest to those in the policy-making community, especially those looking to learn more about the extent to which perceptions, personality, and group dynamics affect the policy-making arena. It is accompanied by a set of online instructor resources.
Introduction to Politics and Society
by Shaun BestIntroduction to Politics and Society comprehensively demonstrates how key theoretical and concepts in political science have foretold, rationalized and shaped politics in the contemporary world. Students will discover the meaning of `power', `authority', `coercion', `surveillance' and `legitimacy'. The ideas of Weber, Marx, Foucault, Bauman, Sennett, Habermas, Baudrillard and Giddens are explained with clarity and precision. Well-chosen examples, many from popular political culture illustrate the relevance of fundamental theoretical debates. This book also examines: - The central tendencies in the movement from modern to post-modern society - The significance, strengths and weaknesses of `Third Way' politics - The decline of organized party politics - The development of new social movements Developed with an understanding of the requirements of students and lecturers, this book is an extraordinary resource for undergraduate teaching and study needs. It will be required reading for undergraduate students in sociology, politics and social policy.
Introduction to Power Analysis: Two-Group Studies (Quantitative Applications in the Social Sciences #176)
by E. C. HedbergIntroduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers and materials that include complex power analyses. This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question. Filled with graphics and examples, the reader is taken on a tour of power analyses from covariates to clusters, seeing how the complicated task of comparing two groups, and the power analysis, can be made easy.
Introduction to Power Analysis: Two-Group Studies (Quantitative Applications in the Social Sciences #176)
by E. C. HedbergIntroduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers and materials that include complex power analyses. This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question. Filled with graphics and examples, the reader is taken on a tour of power analyses from covariates to clusters, seeing how the complicated task of comparing two groups, and the power analysis, can be made easy.
Introduction to Python Programming for Business and Social Science Applications
by Paul Kaefer Frederick KaeferWould you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you’ve learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don’t work within Python. First there was IBM® SPSS®, then there was R, and now there′s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications.
Introduction to Python Programming for Business and Social Science Applications
by Paul Kaefer Frederick KaeferWould you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you’ve learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don’t work within Python. First there was IBM® SPSS®, then there was R, and now there′s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications.
Introduction to Regression Methods for Public Health Using R
by Ramzi W. NahhasIntroduction to Regression Methods for Public Health Using R teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes using R as a tool. Regression is a useful tool for understanding the associations between an outcome and a set of explanatory variables, and regression methods are commonly used in many fields, including epidemiology, public health, and clinical research. The focus of this book is on understanding and fitting regression models, diagnosing model fit, and interpreting and writing up results. Examples are drawn from public health and clinical studies. Designed for students, researchers, and practitioners with a basic understanding of introductory statistics, this book teaches the basics of regression and how to implement regression methods using R, allowing the reader to enhance their understanding and begin to grasp new concepts and models.The text includes an overview of regression (Chapter 2); how to examine and summarize the data (Chapter 3), simple (Chapter 4) and multiple (Chapter 5) linear regression; binary, ordinal, and conditional logistic regression, and log-binomial regression (Chapter 6); Cox proportional hazards regression (survival analysis) (Chapter 7); handling data arising from a complex survey design (Chapter 8); and multiple imputation of missing data (Chapter 9). Each chapter closes with a comprehensive set of exercises.Key Features: Comprehensive coverage of the most commonly used regression methods, as well as how to use regression with complex survey data or missing data Accessible to those with only a first course in statistics Serves as a course textbook, as well as a reference for public health and clinical researchers seeking to learn regression and/or how to use R to do regression analyses Includes examples of how to diagnose the fit of a regression model Includes examples of how to summarize, visualize, table, and write up the results Includes R code to run the examples
Introduction to Social Cognition: The Essential Questions and Ideas
by Gordon B. MoskowitzWhy are first impressions so powerful? How do we &“know&” what others are like when we cannot read their minds? How can scientists measure biases that people do not want to admit--or do not know they have? This engaging text delves into social cognition by exploring major questions in the field through an everyday lens. Students are introduced to core concepts and processes pertaining to how people come to know themselves and understand the behavior of others. Classic and contemporary findings and experimental methods are explained. The text connects the research to pressing contemporary problems--the roots of political polarization, why even rational people fall prey to misinformation, and the best ways to reduce prejudice. Boxed definitions of key terms are included throughout.
Introduction to Social Neuroscience
by John T. Cacioppo Stephanie CacioppoA textbook that lays down the foundational principles for understanding social neuroscienceHumans, like many other animals, are a highly social species. But how do our biological systems implement social behaviors, and how do these processes shape the brain and biology? Spanning multiple disciplines, Introduction to Social Neuroscience seeks to engage students and scholars alike in exploring the effects of the brain’s perceived connections with others. This wide-ranging textbook provides a quintessential foundation for comprehending the psychological, neural, hormonal, cellular, and genomic mechanisms underlying such varied social processes as loneliness, empathy, theory-of-mind, trust, and cooperation.Stephanie and John Cacioppo posit that our brain is our main social organ. They show how the same objective relationship can be perceived as friendly or threatening depending on the mental states of the individuals involved in that relationship. They present exercises and evidence-based findings readers can put into practice to better understand the neural roots of the social brain and the cognitive and health implications of a dysfunctional social brain. This textbook’s distinctive features include the integration of human and animal studies, clinical cases from medicine, multilevel analyses of topics from genes to societies, and a variety of methodologies.Unveiling new facets to the study of the social brain’s anatomy and function, Introduction to Social Neuroscience widens the scientific lens on human interaction in society.The first textbook on social neuroscience intended for advanced undergraduates and graduate studentsChapters address the psychological, neural, hormonal, cellular, and genomic mechanisms underlying the brain’s perceived connections with othersMaterials integrate human and animal studies, clinical cases, multilevel analyses, and multiple disciplines
Introduction to Social Work and Social Welfare Empowering People
by Charles Zastrow Sarah L. HessenauerDiscover a thorough overview of today's social work profession with a realistic glimpse into social problems in contemporary society with Zastrow/Hessenauer's best-selling INTRODUCTION TO SOCIAL WORK AND SOCIAL WELFARE: EMPOWERING PEOPLE, 13E. This practical text provides real insights you can apply in practice. Updates highlight the latest developments and emerging issues, from Biden's social welfare policies and self-care for social workers to employment, immigration, mass shootings and the pandemic. You learn to develop new methods for problem solving and empowering clients as the authors present positive strategies within the context of the core values, ethics, skills and knowledge base of today's professional social worker. Updated case studies, exhibits and tables highlight, compare and contrast contemporary social problems and issues. Core content from the Council on Social Work Education (CSWE) aligns with the latest Educational Policy and Accreditation Standards (EPAS).
Introduction to Social Work and Social Welfare: Critical Thinking Perspectives
by Karen K. Kirst-AshmanINTRODUCTION TO SOCIAL WORK & SOCIAL WELFARE: CRITICAL THINKING PERSPECTIVES, 3E gives students who are contemplating a career in social work a solid introduction to the profession. Using clear, engaging prose, author Kirst-Ashman presents a balanced, introductory look within a unifying theme of critical thinking that trains students to be more evaluative of key concepts. The topics covered include practice concepts, social welfare policy concepts, history and current state of the profession, the contexts of practice and populations served, and student development.
Introduction to Social Work and Social Welfare: Critical Thinking Perspectives
by Karen K. Kirst-AshmanKaren K. Kirst-Ashman's introductory book enhances the reader's ability to grasp the essence and spirit of generalist social work and the issues in social welfare that social workers address every day. Giving those contemplating a career in social work a solid introduction to the profession, Kirst-Ashman presents a balanced introductory look within a unifying theme of critical thinking that trains readers to be more evaluative of key concepts. The topics covered include practice concepts, social welfare policy concepts, history and current state of the profession, the contexts of practice and populations served, and professional development.
Introduction to Social Work and Social Welfare: Critical Thinking Perspectives (Mindtap Course List)
by Karen K. Kirst-AshmanDesigned to give you a solid introduction to the profession of social work, INTRODUCTION TO SOCIAL WORK AND SOCIAL WELFARE, 5th Edition helps you understand the issues that social workers address every day. Using a clear and engaging writing style, author Karen K. Kirst-Ashman presents a balanced overview within a unifying theme of critical thinking that will train you to use evaluative skills in your coursework and beyond. In addition, you'll study more efficiently and effectively with accompanying digital resources that provide you with opportunities to complete self-assessments as well as pre- and post-tests for each chapter. Thoughtful case studies throughout the text help to prepare you for your career by showing you what social work practice looks like in different contexts and with different populations.
Introduction to Social Work: An Advocacy-Based Profession (Social Work in the New Century)
by Carolyn J. Tice Dennis D. Long Lisa E. Cox<p>The best-selling <i>Introduction to Social Work</i> by Lisa E. Cox, Carolyn J. Tice, and Dennis D. Long takes students to the root of the social work profession by covering its history, practice settings, and career paths within a unique advocacy framework. This advocacy practice and policy model comprised of four components—economic and social justice, a supportive environment, human needs and rights, and political access—provides an effective lens for viewing today’s social issues. Throughout the book, an emphasis on advocacy underscores the transformative opportunities and contributions of social work on not just the clinical/client level, but also at organizational, community, national, and international levels. <p>The Second Edition closely aligns with the latest Educational Policy and Accreditation Standards (EPAS) from the Council on Social Work Education (CSWE) and references the 2018 Code of Ethics from the National Association of Social Workers (NASW). Through the authors’ inclusion of reflective practice, students will be encouraged to engage in critical thought and contemplate a career in social work.</p>
Introduction to Sociological Theory: Theorists, Concepts, and their Applicability to the Twenty-First Century
by Michele DillonThe revised third edition of the text that combines classical and contemporary theories of sociological theory Thoroughly revised and updated, the third edition of an Introduction to Sociological Theory offers an in-depth introduction to classical and contemporary theories, and demonstrates their relevance to offer a clear understanding of a broad range of contemporary issues and topics. As with the previous editions, the text continues to combine carefully selected primary quotations from a broad range of theorists with extensive discussion and illustrative examples from a diverse range of countries, helpful timelines of important and thematically relevant events, biographical notes, contemporary topic boxes, analytical photos, and chapter glossaries. The text addresses topics such as the persistence of economic and social inequality, Brexit, post-truth society, same-sex marriage, digital surveillance and the on-demand gig economy. Written in an engaging style, Introduction to Sociological Theory offers a comprehensive introduction to the pluralistic breadth and wide-ranging applicability of sociological theory. This updated edition of the authoritative text: Contains both classical and contemporary theories in a single text Builds on excerpts from original theoretical writings with detailed discussion of the concepts and ideas under review Includes new examples of current empirical topics such as Brexit, Donald Trump’s presidency, China’s growing economic power, global warming, intersectionality, social media, and much more Offers additional resources including a website that contains multiple choice and essay questions, a thoroughly refreshed set of PowerPoint slides for each chapter with multimedia links to content illustrative of sociological processes, a list of complementary primary readings, a quotation bank, and other background materials Written for undergraduate courses in contemporary and classical sociological theory, the third edition of an Introduction to Sociological Theory continues to provide a comprehensive, in-depth, and empirically engaging, introduction to sociological theory.