Search Results for "research-methods-for-graduate-business-and-social-science-students"

Research Methods for Business and Social Science Students

Research Methods for Business and Social Science Students

  • Author: John Adams,Hafiz T. A. Khan,Robert Raeside
  • Publisher: SAGE Publications India
  • ISBN: 8132119819
  • Category: Business & Economics
  • Page: 304
  • View: 2142
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Research Methods for Business and Social Science Students aims to present a clear discussion of the research methods employed in various disciplines related to our daily life problems. The theoretical basis of research methods is explained clearly and succinctly. Collecting data is a key part of the book and this includes both qualitative and quantitative methods of data collection, along with the advantages and disadvantages of each method. The book also describes in clear terms how students can analyse data, interpret results and link these to the literature review and hence their own contribution. It sets out a range of fundamental ideas in research methods, such as deductivism and inductivism, and explains why methodology is not the same as method. In this second edition every chapter has been re-written to be more readable and also to include more examples. The authors have also added a real student research proposal and a multiple-choice test with answers for the readers to test their own understanding of the ideas in the book. The book has been designed to illustrate research tools in a clear and accessible manner through chapters on such topics as formulating research, research design, data analysis and writing up the research results.

Research Methods in Practice

Research Methods in Practice

Strategies for Description and Causation

  • Author: Dahlia K. Remler,Gregg G. Van Ryzin
  • Publisher: SAGE Publications
  • ISBN: 1483323587
  • Category: Social Science
  • Page: 648
  • View: 1201
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The Second Edition of Research Methods in Practice: Strategies for Description and Causation sets an entirely new standard for presenting and learning research methods. The perspective gained from this text makes it a truly necessary tool for such applied disciplines as public affairs and administration, public policy, psychology, urban affairs, education, sociology, social work, business, public health, political science, economics, communications and criminal justice. Imbued with a deep commitment to make social and policy research methods accessible and meaningful, the Second Edition of Research Methods in Practice: Strategies for Description and Causation compels and inspires students to truly grasp the logic—and limits—of the latest research appearing in academic journals, government reports, and the media. Authors Dahlia K. Remler and Gregg G. Van Ryzin cover the most pertinent issues and methods, emphasizing the critical interpretation and practical application of research findings. Both causation and description—and the distinction between them—are emphasized and maintained thematically throughout the text. Concepts are taught through in-depth examples, such as “Fighting Malaria in Kenya,” “The U.S. Poverty Measure,” “The Fallout from Hurricane Katrina,” “Family Dinners and Teenage Substance Abuse,” and “The Effect of Poverty on Mental Health.” The realistic trade-offs, uncertainties, habits, and excitement of the research experience come through on every page. “This is the best text available for teaching students the fundamentals of research design and statistics, and for introducing them to the difficulties inherent in evaluation research and causal inference.” —Dave E. Marcotte, University of Maryland, Baltimore County

Web Social Science

Web Social Science

Concepts, Data and Tools for Social Scientists in the Digital Age

  • Author: Robert Ackland
  • Publisher: SAGE
  • ISBN: 1446283119
  • Category: Social Science
  • Page: 224
  • View: 8464
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"Although written simply enough to be accessible to undergraduates, accomplished scholars are likely to appreciate it too. Reading it taught me quite a lot about a subject I thought I knew rather well." - Paul Vogt, Illinois State University "This book brings the art and science of building and applying innovative online research tools to students and faculty across the social sciences." - William H. Dutton, University of Oxford A comprehensive guide to the theory and practice of web Social Science. This book demonstrates how the web is being used to collect social research data, such as online surveys and interviews, as well as digital trace data from social media environments, such as Facebook and Twitter. It also illuminates how the advent of the web has led to traditional social science concepts and approaches being combined with those from other scientific disciplines, leading to new insights into social, political and economic behaviour. Situating social sciences in the digital age, this book aids: understanding of the fundamental changes to society, politics and the economy that have resulted from the advent of the web choice of appropriate data, tools and research methods for conducting research using web data learning how web data are providing new insights into long-standing social science research questions appreciation of how social science can facilitate an understanding of life in the digital age It is ideal for students and researchers across the social sciences, as well as those from information science, computer science and engineering who want to learn about how social scientists are thinking about and researching the web.

Applied Meta-Analysis for Social Science Research

Applied Meta-Analysis for Social Science Research

  • Author: Noel A. Card
  • Publisher: Guilford Publications
  • ISBN: 1462525008
  • Category: Psychology
  • Page: 377
  • View: 5597
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Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ÿ

Statistics for the Social Sciences

Statistics for the Social Sciences

  • Author: R. Mark Sirkin
  • Publisher: SAGE
  • ISBN: 9781412905466
  • Category: Mathematics
  • Page: 610
  • View: 1450
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Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.

Quantitative Social Science

Quantitative Social Science

An Introduction

  • Author: Kosuke Imai
  • Publisher: Princeton University Press
  • ISBN: 1400885256
  • Category: Social Science
  • Page: 432
  • View: 7823
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Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science Provides hands-on instruction using R programming, not paper-and-pencil statistics Includes more than forty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides

Guide to Methods for Students of Political Science

Guide to Methods for Students of Political Science

  • Author: Stephen Van Evera
  • Publisher: Cornell University Press
  • ISBN: 0801454441
  • Category: Political Science
  • Page: 144
  • View: 5276
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Stephen Van Evera greeted new graduate students at MIT with a commonsense introduction to qualitative methods in the social sciences. His helpful hints, always warmly received, grew from a handful of memos to an underground classic primer. That primer evolved into a book of how-to information about graduate study, which is essential reading for graduate students and undergraduates in political science, sociology, anthropology, economics, and history—and for their advisers. •How should we frame, assess, and apply theories in the social sciences? "I am unpersuaded by the view that the prime rules of scientific method should differ between hard science and social science. Science is science." •A section on case studies shows novices the ropes. •Van Evera contends the realm of dissertations is often defined too narrowly “Making and testing theories are not the only games in town. . . . If everyone makes and tests theories but no one ever uses them, then what are they for?" •In "Helpful Hints on Writing a Political Science Ph.D. Dissertation," Van Evera focuses on presentation, and on broader issues of academic strategy and tactics. •Van Evera asks how political scientists should work together as a community. “All institutions and professions that face weak accountability need inner ethical rudders that define their obligations in order to stay on course."

Research Methods, Statistics, and Applications

Research Methods, Statistics, and Applications

  • Author: Kathrynn A. Adams,Eva K. Lawrence
  • Publisher: SAGE Publications
  • ISBN: 1506350461
  • Category: Social Science
  • Page: 672
  • View: 5696
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This updated Second Edition of Research Methods, Statistics, and Applications consistently integrates methods and statistics to prepare students for both graduate work and critical analysis of research as professionals and informed citizens. Maintaining the conversational writing style, multiple examples, and hands-on applications of key concepts that made the first edition so accessible, Kathrynn A. Adams and Eva K. Lawrence enhance the new edition with additional coverage of online data collection, inferential statistics, and regression and ANOVA, as well as a wide range of diverse examples. In every chapter, the authors develop and apply research topics and examples from the current research literature across all aspects of the research process. New to this Edition New diverse examples from current research literature in criminal justice, politics, education, and counseling expose students to different research designs in the social sciences and demonstrate commonalities. New chapter-ending The Big Picture sections with appropriate charts and tables encourage students to consider decisions about specific statistical analyses. Two separate chapters (Inferential Statistics and Comparing Your Sample to a Known or Expected Score) now allow instructors to focus on the theoretical concepts associated with inferential statistics before introducing each specific inferential statistic to enhance student understanding. Expanded coverage of inferential statistics includes more discussion of APA guidelines for appropriate statistics and more focus on effect sizes and confidence intervals. New consistent headings make it easy for students to quickly locate information and for instructors to identify sections they may wish to focus on, skip, or present in a different order.

Interviewing as Qualitative Research

Interviewing as Qualitative Research

A Guide for Researchers in Education and the Social Sciences, 4th Ed.

  • Author: Irving Seidman
  • Publisher: Teachers College Press
  • ISBN: 0807772232
  • Category: Social Science
  • Page: 143
  • View: 6764
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Now in its fourth edition, this popular book provides clear, step-by-step guidance for new and experienced interviewers to develop, shape, and reflect on interviewing as a qualitative research process. Using concrete examples of interviewing techniques to illustrate the issues under discussion, this classic text helps readers to understand the complexities of interviewing and its connections to broader issues of qualitative research. The text includes principles and methods that can be adapted to a range of interviewing approaches. Appropriate for individual and classroom use, the new edition has been expanded to include: clarification of important phenomenological assumptions that underlie the interviewing approach presented in the book; new sections on Long-Distance Interviewing and its implications for the relationship between interviewers and their participants; a new section on the pros and cons of Computer-Assisted Qualitative Data Analysis Software; The Ethics of Doing Good Work, is a new chapter which discusses the interplay between ethical issues in interviewing and how interviewers carry out their work as researchers.

Seven Rules for Social Research

Seven Rules for Social Research

  • Author: Glenn Firebaugh
  • Publisher: Princeton University Press
  • ISBN: 0691190437
  • Category: Social Science
  • Page: 257
  • View: 6864
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Seven Rules for Social Research teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without. Glenn Firebaugh provides indispensable practical guidance for anyone doing research in the social and health sciences today, whether they are undergraduate or graduate students embarking on their first major research projects or seasoned professionals seeking to incorporate new methods into their research. The rules are the basis for discussions of a broad range of issues, from choosing a research question to inferring causal relationships, and are illustrated with applications and case studies from sociology, economics, political science, and related fields. Though geared toward quantitative methods, the rules also work for qualitative research. Seven Rules for Social Research is ideal for students and researchers who want to take their technical skills to new levels of precision and insight, and for instructors who want a textbook for a second methods course. The Seven Rules There should be the possibility of surprise in social research Look for differences that make a difference, and report them. Build reality checks into your research. Replicate where possible. Compare like with like. Use panel data to study individual change and repeated cross-section data to study social change. Let method be the servant, not the master.

Research Synthesis and Meta-Analysis

Research Synthesis and Meta-Analysis

A Step-by-Step Approach

  • Author: Harris Cooper
  • Publisher: SAGE Publications
  • ISBN: 1483347044
  • Category: Social Science
  • Page: 384
  • View: 3833
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The Fifth Edition of Harris Cooper's bestselling Research Synthesis and Meta-Analysis: A Step-by-Step Approach offers practical advice on how to conduct a synthesis of research in the social, behavioral, and health sciences. The book is written in plain language with four running examples drawn from psychology, education, and health science. With ample coverage of literature searching and the technical aspects of meta-analysis, this one-of-a-kind book applies the basic principles of sound data gathering to the task of producing a comprehensive assessment of existing research.

Case Studies and Theory Development in the Social Sciences

Case Studies and Theory Development in the Social Sciences

  • Author: Alexander L. George,Andrew Bennett
  • Publisher: MIT Press
  • ISBN: 9780262572224
  • Category: Political Science
  • Page: 331
  • View: 3603
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A text that emphasizes the importance of case studies in social science scholarship and shows how to make case study practices more rigorous.

The SAGE Handbook of Qualitative Business and Management Research Methods

The SAGE Handbook of Qualitative Business and Management Research Methods

  • Author: Catherine Cassell,Ann L Cunliffe,Gina Grandy
  • Publisher: SAGE
  • ISBN: 1526415720
  • Category: Business & Economics
  • Page: 1056
  • View: 9842
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The SAGE Handbook of Qualitative Business and Management Research Methods provides a state-of–the-art overview of qualitative research methods in the business and management field. The Handbook celebrates the diversity of the field by drawing from a wide range of traditions and by bringing together a number of leading international researchers engaged in studying a variety of topics through multiple qualitative methods. The chapters address the philosophical underpinnings of particular approaches to research, contemporary illustrations, references, and practical guidelines for their use. The two volumes therefore provide a useful resource for Ph.D. students and early career researchers interested in developing and expanding their knowledge and practice of qualitative research. In covering established and emerging methods, it also provides an invaluable source of information for faculty teaching qualitative research methods. The contents of the Handbook are arranged into two volumes covering seven key themes: Volume One: History and Tradition Part One: Influential Traditions: underpinning qualitative research: positivism, interpretivism, pragmatism, constructionism, critical, poststructuralism, hermeneutics, postcolonialism, critical realism, mixed methods, grounded theory, feminist and indigenous approaches. Part Two: Research Designs: ethnography, field research, action research, case studies, process and practice methodologies. Part Three: The Researcher: positionality, reflexivity, ethics, gender and intersectionality, writing from the body, and achieving critical distance. Part Four: Challenges: research design, access and departure, choosing participants, research across boundaries, writing for different audiences, ethics in international research, digital ethics, and publishing qualitative research. Volume Two: Methods and Challenges Part One: Contemporary methods: interviews, archival analysis, autoethnography, rhetoric, historical, stories and narratives, discourse analysis, group methods, sociomateriality, fiction, metaphors, dramaturgy, diary, shadowing and thematic analysis. Part Two: Visual methods: photographs, drawing, video, web images, semiotics and symbols, collages, documentaries. Part Three: Methodological developments: aesthetics and smell, fuzzy set comparative analysis, sewing quilts, netnography, ethnomusicality, software, ANTI-history, emotion, and pattern matching.

The SAGE Handbook of Visual Research Methods

The SAGE Handbook of Visual Research Methods

  • Author: Eric Margolis,Luc Pauwels
  • Publisher: SAGE
  • ISBN: 1446250121
  • Category: Education
  • Page: 776
  • View: 9070
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This book captures the state of the art in visual research. Margolis and Pauwels have brought together, in one volume, a unique survey of the field of visual research that will be essential reading for scholars and students across the social sciences, arts and humanities. The SAGE Handbook of Visual Research Methods encompasses the breadth and depth of the field, and points the way to future research possibilities. It illustrates 'cutting edge' as well as long-standing and recognized practices. This book is not only 'about' research, it is also an example of the way that the visual can be incorporated into data collection and the presentation of research findings. Chapters describe a methodology or analytical framework, its strengths and limitations, possible fields of application and practical guidelines on how to apply the method or technique. The Handbook is organized into seven main sections: - Framing the Field of Visual Research - Producing Visual Data and Insight - Participatory and Subject-Centered Approaches - Analytical Frameworks and Approaches - Visualization Technologies and Practices - Moving Beyond the Visual - Options and Issues for Using and Presenting Visual Research. Eric Margolis is an Associate Professor in the Hugh Downs School of Human Communication. He is President of the International Visual Sociology Association. Luc Pauwels is Professor of Visual Culture at the University of Antwerp. He is Chair of the Visual Communication Studies Division of the ICA and Vice-President of the International Visual Sociology Association (IVSA).

Basic Research Methods for Librarians

Basic Research Methods for Librarians

  • Author: Lynn Silipigni Connaway,Ronald R. Powell
  • Publisher: ABC-CLIO
  • ISBN: 1591588634
  • Category: Language Arts & Disciplines
  • Page: 370
  • View: 2971
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Thoroughly updated, this book introduces the major issues involved in designing and conducting original research relevant to the fields of library and information science. * Library and information science examples to explain research methodologies and techniques * Explanations and examples of sampling procedures * A table for determining sample sizes and a random number table * Notes at the end of each chapter, plus a list of more than 400 research-related references at the end of the book

The SAGE Handbook of Social Media Research Methods

The SAGE Handbook of Social Media Research Methods

  • Author: Luke Sloan,Anabel Quan-Haase
  • Publisher: SAGE
  • ISBN: 1473987210
  • Category: Social Science
  • Page: 728
  • View: 6181
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The SAGE Handbook of Social Media Research Methods offers a step-by-step guide to overcoming the challenges inherent in research projects that deal with 'big and broad data', from the formulation of research questions through to the interpretation of findings. The handbook includes chapters on specific social media platforms such as Twitter, Sina Weibo and Instagram, as well as a series of critical chapters. The holistic approach is organised into the following sections: Conceptualising & Designing Social Media Research Collection & Storage Qualitative Approaches to Social Media Data Quantitative Approaches to Social Media Data Diverse Approaches to Social Media Data Analytical Tools Social Media Platforms This handbook is the single most comprehensive resource for any scholar or graduate student embarking on a social media project.

A Mathematics Course for Political and Social Research

A Mathematics Course for Political and Social Research

  • Author: Will H. Moore,David A. Siegel
  • Publisher: Princeton University Press
  • ISBN: 140084861X
  • Category: Political Science
  • Page: 456
  • View: 3621
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Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a semester-long or yearlong course to acquire the necessary skills. Available textbooks are written for mathematics or economics majors, and fail to convey to students of political science and sociology the reasons for learning often-abstract mathematical concepts. A Mathematics Course for Political and Social Research fills this gap, providing both a primer for math novices in the social sciences and a handy reference for seasoned researchers. The book begins with the fundamental building blocks of mathematics and basic algebra, then goes on to cover essential subjects such as calculus in one and more than one variable, including optimization, constrained optimization, and implicit functions; linear algebra, including Markov chains and eigenvectors; and probability. It describes the intermediate steps most other textbooks leave out, features numerous exercises throughout, and grounds all concepts by illustrating their use and importance in political science and sociology. Uniquely designed and ideal for students and researchers in political science and sociology Uses practical examples from political science and sociology Features "Why Do I Care?" sections that explain why concepts are useful Includes numerous exercises Complete online solutions manual (available only to professors, email david.siegel at duke.edu, subject line "Solution Set") Selected solutions available online to students

Theory Construction and Model-building Skills

Theory Construction and Model-building Skills

A Practical Guide for Social Scientists

  • Author: James Jaccard,Jacob Jacoby
  • Publisher: Guilford Press
  • ISBN: 1606233408
  • Category: Psychology
  • Page: 391
  • View: 9876
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Meeting a crucial need for graduate students and newly minted researchers, this innovative text provides hands-on tools for generating ideas and translating them into formal theories. It is illustrated with numerous practical examples drawn from multiple social science disciplines and research settings. The authors offer clear guidance for defining constructs, thinking through relationships and processes that link constructs, and deriving new theoretical models (or building on existing ones) based on those relationships. Step by step, they show readers how to use causal analysis, mathematical modeling, simulations, and grounded and emergent approaches to theory construction. A chapter on writing about theories contains invaluable advice on crafting effective papers and grant applications. Useful pedagogical features in every chapter include: Application exercises and concept exercises Lists of key terms and engaging topical boxes Annotated suggestions for further reading. This book is intended for graduate students in a range of disciplines, including psychology, education, sociology, health, and management, as well as social scientists pursing research careers in academic or other settings. It can serve as a primary text in graduate-level courses in theory construction or as a supplemental text in courses on research methodology, theories of a particular discipline, grant writing, or the dissertation.

Measurement Theory and Applications for the Social Sciences

Measurement Theory and Applications for the Social Sciences

  • Author: Deborah L. Bandalos
  • Publisher: Guilford Publications
  • ISBN: 1462532136
  • Category: Business & Economics
  • Page: 661
  • View: 3490
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Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material.

Big Data and Social Science

Big Data and Social Science

A Practical Guide to Methods and Tools

  • Author: Ian Foster,Rayid Ghani,Ron S. Jarmin,Frauke Kreuter,Julia Lane
  • Publisher: CRC Press
  • ISBN: 1498751431
  • Category: Mathematics
  • Page: 376
  • View: 4468
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Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.