Exceptionally clear and well-written chapters provide engaging discussions of the methods of accessing, generating, and analyzing social science data, using methods ranging from reflexive historical analysis to critical ethnography. Reflecting on their own research experiences, the contributors offer an inside, applied perspective on how research topics, evidence, and methods intertwine to produce knowledge in the social sciences.
Exceptionally clear and well-written chapters provide engaging discussions of the methods of accessing, generating, and analyzing social science data, using methods ranging from reflexive historical analysis to critical ethnography. Reflecting on their own research experiences, the contributors offer an inside, applied perspective on how research topics, evidence, and methods intertwine to produce knowledge in the social sciences.
Exceptionally clear and well-written chapters provide engaging discussions of the methods of accessing, generating, and analyzing Social Science data, using methods ranging from reflexive historical analysis to critical ethnography. Reflecting on their own research experiences, the contributors offer an inside, applied perspective on how research topics, evidence, and methods intertwine to produce knowledge in the Social Sciences.
This book is a simple yet thorough introduction to Q methodology, a research technique designed to capture the subjective or first-person viewpoints of its participants. Watts and Stenner outline the key theoretical concepts developed by William Stephenson, the founder of Q methodology, including subjectivity, concourse theory and abduction. They then turn to the practicalities of delivering high quality Q methodological research. Using worked examples throughout, the reader is guided through: • important design issues • the conduct of fieldwork • all the analytic processes of Q methodology, including factor extraction, factor rotation and factor interpretation. Drawing on helpful conceptual introductions to potentially difficult statistical concepts and a step-by-step guide to running Q methodological analyses using dedicated software, this book enables interested readers to design, manage, analyse, interpret and publish their own Q methodological research.
This concise resource provides practical applications of why research methods are important for public administrators, who do not routinely perform data analysis, but often find themselves having to evaluate and make important decisions based on data analysis and evaluative reports they receive. It is also intended as a supplemental text for research methods courses at the graduate level and upper division undergraduate level. Why Research Methods Matter is essential reading for current and future managers in the public sector who seek to become savvy consumers of research.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
The importance of scientific investigation and research is becoming more pronounced in todays society, with many organizations relying on this research to make informed decisions. As such, research methodology courses have been integrated into undergraduate and masters programs at most academic institutions where students are being challenged to conduct and write research. Social Research Methodology and New Techniques in Analysis, Interpretation, and Writing is a pivotal reference source that provides vital research on the main concepts of research writing, including the guidelines of research methodology and proposal designing. While highlighting topics such as mixed method research, research objectives, and project proposals, this publication provides examples of eight PhD proposals and the frameworks used in organizing qualitative, quantitative, and mixed method research. This book is ideally designed for graduate-level students, academicians, researchers, educators, scholars, education administrators, and policymakers seeking current research on the key steps and techniques used in organizing social research proposals.
Comprehensively revised and updated the Second Edition of the bestselling Visual Methodologies provides a critical introduction to the study and interpretation of visual culture. The Second Edition contains: - a completely new chapter on how to use the book - each chapter follows the same structure, making comparisons between methods easier - three extra chapters, each discussing a method not covered in the First Edition
"Research design is fundamentally central to all scientific endeavors, at all levels and in all institutional settings. This book is a practical, short, simple, and authoritative examination of the concepts and issues in interpretive research design, looking across this approach's methods of generating and analyzing data. It is meant to set the stage for the more "how-to" volumes that will come later in the Routledge Series on Interpretive Methods, which will look at specific methods and the designs that they require. It will, however, engage some very practical issues, such as ethical considerations and the structure of research proposals. Interpretive research design requires a high degree of flexibility, where the researcher is more likely to think of "hunches" to follow than formal hypotheses to test. Yanow and Schwartz-Shea address what research design is and why it is important, what interpretive research is and how it differs from quantitative and qualitative research in the positivist traditions, how to design interpretive research, and the sections of a research proposal and report"--
