John Gerring's exceptional textbook has been thoroughly revised in this second edition. It offers a one-volume introduction to social science methodology relevant to the disciplines of anthropology, economics, history, political science, psychology and sociology. This new edition has been extensively developed with the introduction of new material and a thorough treatment of essential elements such as conceptualization, measurement, causality and research design. It is written for students, long-time practitioners and methodologists and covers both qualitative and quantitative methods. It synthesizes the vast and diverse field of methodology in a way that is clear, concise and comprehensive. While offering a handy overview of the subject, the book is also an argument about how we should conceptualize methodological problems. Thinking about methodology through this lens provides a new framework for understanding work in the social sciences.
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.
Making Sense of Social Research Methodology: A Student and Practitioner Centered Approach introduces students to research methods by illuminating the underlying assumptions of social science inquiry. Authors Pengfei Zhao, Karen Ross, Peiwei Li, and Barbara Dennis show how research concepts are often an integral part of everyday life through illustrative common scenarios, like looking for a recipe or going on a job interview. The authors extrapolate from these personal but ubiquitous experiences to further explain concepts, like gathering data or social context, so students develop a deeper understanding of research and its applications outside of the classroom. Students from across the social sciences can take this new understanding into their own research, their professional lives, and their personal lives with a new sense of relevancy and urgency. This text is organized into clusters that center on major topics in social science research. The first cluster introduces concepts that are fundamental to all aspects and steps of the research process. These concepts include relationality, identity, ethics, epistemology, validity, and the sociopolitical context within which research occurs. The second and third clusters focus on data and inference. These clusters engage concretely with steps of the research process, including decisions about designing research, generating data, making inferences. Throughout the chapters, Pause and Reflect open-ended questions provide readers with the space for further inquiry into research concepts and how they apply to life. Research Scenario features in each chapter offer new perspectives on major research topics from leading and emerging voices in methods. Moving from this dialogic perspective to more actionable advice, You and Research features offer students concrete steps for engaging with research. Take your research into the world with Making Sense of Social Research Methodology: A Student and Practitioner Centered Approach.
Surveys enjoy great ubiquity among data collection methods in social research: they are flexible in questioning techniques, in the amount of questions asked, in the topics covered, and in the various ways of interactions with respondents. Surveys are also the preferred method by many researchers in the social sciences due to their ability to provide quick profiles and results. Because they are so commonly used and fairly easy to administer, surveys are often thought to be easily thrown together. But designing an effective survey that yields reliable and valid results takes more than merely asking questions and waiting for the answers to arrive. Geared to the non-statistician, the Handbook of Survey Methodology in Social Sciences addresses issues throughout all phases of survey design and implementation. Chapters examine the major survey methods of data collection, providing expert guidelines for asking targeted questions, improving accuracy and quality of responses, while reducing sampling and non-sampling bias. Relying on the Total Survey Error theory, various issues of both sampling and non-sampling sources of error are explored and discussed. By covering all aspects of the topic, the Handbook is suited to readers taking their first steps in survey methodology, as well as to those already involved in survey design and execution, and to those currently in training. Featured in the Handbook: • The Total Survey Error: sampling and non-sampling errors. • Survey sampling techniques. • The art of question phrasing. • Techniques for increasing response rates • A question of ethics: what is allowed in survey research? • Survey design: face-to-face, phone, mail, e-mail, online, computer-assisted.? • Dealing with sensitive issues in surveys. • Demographics of respondents: implications for future survey research. • Dealing with nonresponse, and nonresponse bias The Handbook of Survey Methodology in Social Sciences offers how-to clarity for researchers in the social and behavioral sciences and related disciplines, including sociology, criminology, criminal justice, social psychology, education, public health, political science, management, and many other disciplines relying on survey methodology as one of their main data collection tools.
A revolutionary textbook introducing masters and doctoral students to the major research approaches and methodologies in the social sciences. Written by an outstanding set of scholars, and derived from successful course teaching, this volume will empower students to choose their own approach to research, to justify this approach, and to situate it within the discipline. It addresses questions of ontology, epistemology and philosophy of social science, and proceeds to issues of methodology and research design essential for producing a good research proposal. It also introduces researchers to the main issues of debate and contention in the methodology of social sciences, identifying commonalities, historic continuities and genuine differences.
To do research that really makes a difference -- the authors of this book argue -- social scientists need a diverse set of questions and methods, both qualitative and quantitative, in order to reflect the complexity of the world. Bringing together a consortium of voices across a variety of fields, Methods That Matter offers compelling and successful examples of mixed methods research that does just that. Discussing their own endeavors to combine quantitative and qualitative methodologies, the authors invite readers into a conversation about the best designs and practices of mixed methods to stimulate creative ideas and find new pathways of insight. The result is an engaging exploration of a promising approach to the social sciences. --
Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.
Selections from the work of an influential contributor to the methodology of the social sciences. He treats: measurement, experimental design, epistemology, and sociology of science each section introduced by the editor, Samuel Overman. Annotation copyright Book News, Inc. Portland, Or.
This book consists of three major sections. In the first, which includes chapters 1 to 7, the basic concepts of the methodology of the social social sciences are discussed. In the second, chapters 8 and 9, the most important concepts of part one are integrated in discussions on the writing of research proposals and research reports. The third section (appendices) consists of three "case studies" in which the most important methodological principles which were discussed in the preceding sections are illustrated.
The book clearly illustrates the fundamental concepts related to the aspect of social research in the context of Extension Education. The book is divided into 4 parts Foundations of social research deals with universal and basic units of social research like scientific approach, meaning, process and development of scientific research problem. It also deals with defining and measurement of variables and testing of reliability and validity of measuring instruments. Research Methods section deals with the three major research methods used in extension education/ Agricultural extension, namely Survey research, Action research and case study. This section discusses in detail the process, relative advantages and limitations of each of these three methods. There are numerous research methods used in social research. Tools and techniques of data collection deals with situation suitability, relative advantages and limitation of various data collections techniques like face to face interview, mailed questionnaire, observation method, content analysis, sociometry and projective methods. Data processing and report writing section deals with making the collected data amenable for statistical analysis i.e. coding. This section discusses in detail the various types of codes and their utility. It also deals with formulation and testing of hypothesis and writing of the research report.
