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Quantitative Methodologies using Multi-Methods is a multifaceted book written to help researchers. It is a user-friendly introduction to the popular methods of data mining and data analysis. The book avoids getting involved into details that are more suitable for more advanced users; it is written for readers who have, at most, a surface-level knowledge of the methods presented in the book. The book also serves as an introductory guide to the subject of complementarity of the tools and techniques of data analysis. It shows how methods could be used in synergy to offer insights into the issues that could not be dissected by any single method alone. This text can also be used as a set of templates, where, given a set of research questions, the investigator could identify a set of methodological modules for answering the research questions of interest. This is not entirely unlike the relationship between the analysis and design phases of the systems development life cycle—where the What of the analysis phase has to be translated into the How of the design phase. The book can guide the identification of modules (the How) that are suitable for answering research questions (the What). It can aid in transitioning a conceptual domain of the research questions into a scaffolding of data analytic and data mining methods. The book is also a guide to exploring what data under investigation holds. For example, an investigator may use the methodological modules presented in this book to generate a set of preliminary questions which, after a careful consideration and a requisite culling, could be formulated into a set of questions consistent within a selected theory or a framework. Finally, the book can be used as a generator of new research questions. Applying every method in each of the book’s modules opens a new dimension ripe with follow-up questions such as, Why is this so? The answers to this question may provide new insight and lead to the development of a new theory.
This book provides the first systematic guide to designing multi-method research, considering a wide range of statistical and qualitative tools.
Authors Abbas Tashakkori and Charles Teddlie explore the most resourceful way to combine qualitative and quantitative methodologies. Researchers wanting to learn how to think about and utilize mixed methods in their studies will find this an indispensable guide for their work.
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.
The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
Human inquiry has served as the impetus for a number of developments throughout history. Seeking new knowledge about the world around us helps to drive our progress and push us to discover innovative improvements. This drive lends itself to the development of qualitative research. Market Research Methodologies: Multi-Method and Qualitative Approaches brings together innovative techniques and novel designs that aid in the development of multi-method studies and investigations. Focusing on vital concepts such as data validity, triangulation, and reliability, this book is a fundamental reference source for PhD students, graduate students, and academics within the business field who wish to understand how these methods can be employed to extract data from particular environments.
The Second Edition of An Applied Guide to Research Designs offers researchers in the social and behavioral sciences guidance for selecting the most appropriate research design to apply in their study. Using consistent terminology, the authors visually present a range of research designs used in quantitative, qualitative, and mixed methods to help readers conceptualize, construct, test, and problem solve in their investigation. The Second Edition features revamped and expanded coverage of research designs, new real-world examples and references, a new chapter on action research, and updated ancillaries.
This book focuses on a key issue in the methodology of the social and behavioural sciences: the mixing of different research methods. The extent to which qualitative and quantitative research differ from one another has long been a subject of debate. Although many methodologists have concluded that the two approaches are not mutually exclusive, there are few books on either the theory or the practice of mixing methods. Mixing Methods: Qualitative and Quantitative Research presents a comprehensive discussion of the theoretical, methodological and practical issues. It also covers a number of case studies of research which have successfully combined qualitative and quantitative approaches. Contributors include sociologists who have written extensively on the methodology of the social sciences and researchers who have concerned themselves with important social policy issues in the fields of further education, community services and household finances.
Mixed Methods Research: A Guide to the Field by Vicki L. Plano Clark and Nataliya V. Ivankova is a practical book that introduces a unique socio-ecological framework for understanding the field of mixed methods research and its different perspectives. Based on the framework, it addresses basic questions including: What is the mixed methods research process? How is mixed methods research defined? Why is it used? What designs are available? How does mixed methods research intersect with other research approaches? What is mixed methods research quality? How is mixed methods shaped by personal, interpersonal, and social contexts? By focusing on the topics, perspectives, and debates occurring in the field of mixed methods research, the book helps students, scholars, and researchers identify, understand, and participate in these conversations to inform their own research practice. Mixed Methods Research is Volume 3 in the SAGE Mixed Methods Research Series.
Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.