Seven Rules For Social Research

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.

If you want to "change lives, change organizations, change the world," the Stanford business school’s motto, you need power. Is power the last dirty secret or the secret to success? Both. While power carries some negative connotations, power is a tool that can be used for good or evil. Don’t blame the tool for how some people used it. If fully understood and harnessed effectively, power skills and understanding become the keys to increasing salaries, job satisfaction, career advancement, organizational change, and, happiness. In 7 Rules of Power, Jeffrey Pfeffer, professor of organizational behavior at the Stanford University Graduate School of Business, provides the insights that have made both his online and on-campus classes incredibly popular—with life-changing results often achieved in 8 or 10 weeks. Rooted firmly in social science research, Pfeffer’s 7 rules provide a manual for increasing your ability to get things done, including increasing the positive effects of your job performance. The 7 rules are: 1) Get out of your own way. 2) Break the rules. 3) Show up in powerful fashion. 4) Create a powerful brand. 5) Network relentlessly. 6) Use your power. 7) Understand that once you have acquired power, what you did to get it will be forgiven, forgotten, or both. With 7 Rules of Power, you’ll learn, through both numerous examples as well as research evidence, how to accomplish change in your organization, your life, the lives of others, and the world.

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Framing research as the process of asking and answering questions, this book demonstrates how to identify good research questions and how to structure and explore them successfully. Whether you are just beginning your research journey or are a seasoned traveller, it helps you: • Decide what you want to achieve with your research • Know what options you have to explore your goals • Navigate the nuances of different research approaches • Understand the decisions of other researchers • Choose what path best suits your project. Through real-life examples demonstrating different types of research, the book introduces qualitative, quantitative, and mixed methods approaches so you can compare different methods at every stage of the research process, from initial idea and design to data collection and analysis. This new edition includes new chapters on collecting and analysing mixed methods data, and additional content on qualitative data analysis. New examples reflect the cultural and global diversity of social research, and extra visual aids and summaries support understanding of key research concepts and stages. The book is accompanied by an online teaching guide, including videos, additional case studies, annotated articles, and critical thinking exercises.

This Handbook addresses the methodology of social science research and the appropriate use of different methods.

Repeated surveys, a technique for asking the same questions to different samples of people, allows researchers to analyse changes in society as a whole. Firebaugh shows how to separate cohort, period and age effects, and model aggregate trends.

To analyse social and behavioural phenomena in our digitalized world, it is necessary to understand the main research opportunities and challenges specific to online and digital data. This book presents an overview of the many techniques that are part of the fundamental toolbox of the digital social scientist. Placing online methods within the wider tradition of social research, Giuseppe Veltri discusses the principles and frameworks that underlie each technique of digital research. This practical guide covers methodological issues such as dealing with different types of digital data, construct validity, representativeness and big data sampling. It looks at different forms of unobtrusive data collection methods (such as web scraping and social media mining) as well as obtrusive methods (including qualitative methods, web surveys and experiments). Special extended attention is given to computational approaches to statistical analysis, text mining and network analysis. Digital Social Research will be a welcome resource for students and researchers across the social sciences and humanities carrying out digital research (or interested in the future of social research).

Ground Rules for Social Research is a user-friendly resource for people doing small-scale social research projects. It focuses on the key ideas and practices that underlie good research and provides clear guidelines to newcomers and experienced researchers alike. The book is written for undergraduate, postgraduate and professional students in the social sciences, business studies, health studies, media studies and education who need to undertake research projects as part of their studies. Key features of the book include: The identification of 12 ground rules for good social research Checklists to help researchers evaluate their approach and avoid fundamental errors A clear and jargon-free style This new edition of the book builds on the features that made the first edition so successful, adding: New chapters on research design and research philosophy An increased focus on mixed methods research More examples and illustrations Updated material relating to the internet and online research

This book is a definitive, comprehensive understanding to social science research methodology. It covers both qualitative and quantitative approaches. The book covers the entire research process, beginning with the conception of the research problem to publication of findings. The text combines theory and practical application to familiarize the reader with the logic of research design, the logic and techniques of data analysis, and the fundamentals and implications of various data collection techniques. Organized in seven sections and easy to read chapters, the text emphasizes the importance of clearly defined research questions and well-constructed practical explanations and illustrations. A key contribution to the methodology literature, the book is an authoritative resource for policymakers, practitioners, graduate and advanced research students, and educators in all social science disciplines.

Used to train generations of social scientists, this thoroughly updated classic text covers the latest research techniques and designs. Applauded for its comprehensive coverage, the breadth and depth of content is unparalleled. Through a multi-methodology approach, the text guides readers toward the design and conduct of social research from the ground up. Explained with applied examples useful to the social, behavioral, educational, and organizational sciences, the methods described are intended to be relevant to contemporary researchers. The underlying logic and mechanics of experimental, quasi-experimental, and non-experimental research strategies are discussed in detail. Introductory chapters covering topics such as validity and reliability furnish readers with a firm understanding of foundational concepts. Chapters dedicated to sampling, interviewing, questionnaire design, stimulus scaling, observational methods, content analysis, implicit measures, dyadic and group methods, and meta-analysis provide coverage of these essential methodologies. The book is noted for its: -Emphasis on understanding the principles that govern the use of a method to facilitate the researcher’s choice of the best technique for a given situation. - Use of the laboratory experiment as a touchstone to describe and evaluate field experiments, correlational designs, quasi experiments, evaluation studies, and survey designs. -Coverage of the ethics of social research including the power a researcher wields and tips on how to use it responsibly. The new edition features:-A new co-author, Andrew Lac, instrumental in fine tuning the book’s accessible approach and highlighting the most recent developments at the intersection of design and statistics. -More learning tools including more explanation of the basic concepts, more research examples, tables, and figures, and the addition of bold faced terms, chapter conclusions, discussion questions, and a glossary. -Extensive revision of chapter (3) on measurement reliability theory that examines test theory, latent factors, factor analysis, and item response theory. -Expanded coverage of cutting-edge methodologies including mediation and moderation, reliability and validity, missing data, and more physiological approaches such as neuroimaging and fMRIs. -A new web based resource package that features Power Points and discussion and exam questions for each chapter and for students chapter outlines and summaries, key terms, and suggested readings. Intended as a text for graduate or advanced undergraduate courses in research methods (design) in psychology, communication, sociology, education, public health, and marketing, an introductory undergraduate course on research methods is recommended.