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The highly-anticipated second edition of the Foundations of Mixed Methods Research:Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences gives students a comprehensive overview of mixed methods from philosophical roots and traditions through designing, conducting, and disseminating a study. Authors Abbas Tashakkori, R. Burke Johnson, and Charles Teddlie have thoroughly updated the text to reflect the many advances over the last decade in mixed methods. New example studies throughout and a new appendix highlight the latest research on mixed methods and current best practices. New sections on evaluating quality in mixed methods studies and writing up research results round out the process of mixed methods research. The authors have added features like content summaries and objectives at the beginning of each chapter and chapter summaries and previews at the end of each chapter to aid readers in their mixed methods journey.

Students across social science, behavioral science, and health and nursing fields are now expected to be proficient in mixed methods research. This text begins with an introduction to and overview of the development of mixed methodology, and then takes students through all aspects of working with mixed methods, from research design and data collection through to analysis and conclusions. This new edition includes additional information on writing, publishing, and disseminating results, as well as information on policy impact and annotated examplars of mixed methods research studies. A new generation of mixed methods scholars can now engage with this vital text in mixed methods research.

An understanding of the complex consequences of social processes and social design activities necessitates a holistic systemic perspective, systematised in the classic structural-functional research tradition, which is presented in Functionalist Construction Work in Social Science.

In contrast to fragmented discussions of functionalism and functional analyses, the approach here covers a span ranging from ontological, epistemological and primarily methodological aspects of functionalism. The functionalist tradition in social science is placed in a historic context, and problematised from a philosophy of science perspective. Unique here is a detailed account of four classic functionalist research programmes with a discussion of functionalism, not primarily as a worldview, but as systematic knowledge-generating research strategies. In addition to descriptive and causal questions, the importance of a further research question is demonstrated, i.e., the identification of crucial problems of social organisation.

Functionalist research strategies and functional analysis are of interest for social scientists and students in sociology, political science, and social anthropology. Moreover, the book is relevant for researchers and students of philosophy of science and social science methodology

Explore an up-to-date overview of best practices in the implementation of longitudinal surveys from leading experts in the field of survey methodology

Advances in Longitudinal Survey Methodology delivers a thorough review of the most current knowledge in the implementation of longitudinal surveys. The book provides a comprehensive overview of the many advances that have been made in the field of longitudinal survey methodology over the past fifteen years, as well as extending the topic coverage of the earlier volume, "Methodology of Longitudinal Surveys", published in 2009. This new edited volume covers subjects like dependent interviewing, interviewer effects, panel conditioning, rotation group bias, measurement of cognition, and weighting.

New chapters discussing the recent shift to mixed-mode data collection and obtaining respondents' consent to data linkage add to the book's relevance to students and social scientists seeking to understand modern challenges facing data collectors today. Readers will also benefit from the inclusion of:

An invaluable source for post-graduate students, professors, and researchers in the field of survey methodology, Advances in Longitudinal Survey Methodology will also earn a place in the libraries of anyone who regularly works with or conducts longitudinal surveys and requires a one-stop reference for the latest developments and findings in the field.

A comprehensive guide to the alternative sociology originating in the work of Dorothy E. Smith, this Handbook not only explores the basic, founding principles of institutional ethnography (IE), but also captures current developments, approaches, and debates. Now widely known as a "sociology for people," IE offers the tools to uncover the social relations shaping the everyday world in which we live and is utilized by scholars and social activists in sociology and beyond, including such fields as education, nursing, social work, linguistics, health and medical care, environmental studies, and other social-service related fields. Covering the theoretical and methodological underpinnings of IE, recent developments, and current areas of research and application that have yet to appear in the literature, The Palgrave Handbook of Institutional Ethnography is suitable for both experienced practitioners of institutional ethnography and those who are exploring this approach for the first time.

Large corporations like IBM and Oracle are using Excel dashboards and reports as a Business Intelligence tool, and many other smaller businesses are looking to these tools in order to cut costs for budgetary reasons. An effective analyst not only has to have the technical skills to use Excel in a productive manner but must be able to synthesize data into a story, and then present that story in the most impactful way. Microsoft shows its recognition of this with Excel. In Excel, there is a major focus on business intelligence and visualization. Data Visualization with Excel Dashboards and Reports fills the gap between handling data and synthesizing data into meaningful reports. This title will show readers how to think about their data in ways other than columns and rows.

Most Excel books do a nice job discussing the individual functions and tools that can be used to create an "Excel Report". Titles on Excel charts, Excel pivot tables, and other books that focus on "Tips and Tricks" are useful in their own right; however they don't hit the mark for most data analysts. The primary reason these titles miss the mark is they are too focused on the mechanical aspects of building a chart, creating a pivot table, or other functionality. They don't offer these topics in the broader picture by showing how to present and report data in the most effective way.

What are the most meaningful ways to show trending? How do you show relationships in data? When is showing variances more valuable than showing actual data values? How do you deal with outliers? How do you bucket data in the most meaningful way? How do you show impossible amounts of data without inundating your audience? In Data Visualization with Excel Reports and Dashboards, readers will get answers to all of these questions. Part technical manual, part analytical guidebook; this title will help Excel users go from reporting data with simple tables full of dull numbers, to creating hi-impact reports and dashboards that will wow management both visually and substantively. This book offers a comprehensive review of a wide array of technical and analytical concepts that will help users create meaningful reports and dashboards.

After reading this book, the reader will be able to:

• Analyze large amounts of data and report their data in a meaningful way
• Get better visibility into data from different perspectives
• Quickly slice data into various views on the fly
• Automate redundant reporting and analyses
• Create impressive dashboards and What-If analyses
• Understand the fundamentals of effective visualization
• Visualize performance comparisons
• Visualize changes and trends over time

Access and Control in Digital Humanities explores a range of important questions about who controls data, who is permitted to reproduce or manipulate data, and what sorts of challenges digital humanists face in making their work accessible and useful.

Contributors to this volume present case studies and theoretical approaches from their experience with applications for digital technology in classrooms, museums, archives, in the field and with the general public. Offering potential answers to the issues of access and control from a variety of perspectives, the volume acknowledges that access is subject to competing interests of a variety of stakeholders. Museums, universities, archives, and some communities all place claims on how data can or cannot be shared through digital initiatives and, given the collaborative nature of most digital humanities projects, those in the field need to be cognizant of the various and often competing interests and rights that shape the nature of access and how it is controlled.

Access and Control in Digital Humanities will be of interest to researchers, academics and graduate students working in a variety of fields, including digital humanities, library and information science, history, museum and heritage studies, conservation, English literature, geography and legal studies.

A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a "math camp" or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods.

This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book.

The Digital Humanities Coursebook provides critical frameworks for the application of digital humanities tools and platforms, which have become an integral part of work across a wide range of disciplines.

Written by an expert with twenty years of experience in this field, the book is focused on the principles and fundamental concepts for application, rather than on specific tools or platforms. Each chapter contains examples of projects, tools, or platforms that demonstrate these principles in action. The book is structured to complement courses on digital humanities and provides a series of modules, each of which is organized around a set of concerns and topics, thought experiments and questions, as well as specific discussions of the ways in which tools and platforms work. The book covers a wide range of topics and clearly details how to integrate the acquisition of expertise in data, metadata, classification, interface, visualization, network analysis, topic modeling, data mining, mapping, and web presentation with issues in intellectual property, sustainability, privacy, and the ethical use of information.

Written in an accessible and engaging manner, The Digital Humanities Coursebook will be a useful guide for anyone teaching or studying a course in the areas of digital humanities, library and information science, English, or computer science. The book will provide a framework for direct engagement with digital humanities and, as such, should be of interest to others working across the humanities as well.

Offering guidance on doing experiments, this Little Quick Fix helps you select the most appropriate experiment for your research, collect and record data, minimise error, and ensure your experiment is ethical and reproducible.

This volume provides the first comprehensive introduction to the intersections between Christianity and the digital humanities. DH is a well-established, fast-growing, multidisciplinary field producing computational applications and analytical models to enable new kinds of research. Scholars of Christianity were among the first pioneers to explore these possibilities, using digital approaches to transform the study of Christian texts, history and ideas, and innovative work is taking place today all over the world.

This volume aims to celebrate and continue that legacy by bringing together 15 of the most exciting contemporary projects, grouped into four categories. "Canon, corpus and manuscript" examines physical texts and collections. "Words and meanings" explores digital approaches to language and linguistics. "Digital history" uses digital techniques to explore the Christian past, and "Theology and pedagogy" engages with digital approaches to teaching, formation and Christian ideas.

This volume introduces key debates, shares exciting initiatives, and aims to encourage new innovations in analysis and communication. Christianity and the Digital Humanities is ideally suited as a starting point for students and researchers interested in this vast and complex field.

Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes

Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues-including concerns of privacy, confidentiality, and legality-involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error.

Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book's final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource:

Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.

This SAGE Handbook presents contemporary, cutting-edge approaches to participatory research and inquiry. It has been designed for the community of researchers, professionals and activists engaged in interventions and action for social transformation, and for readers interested in understanding the state of the art in this domain. The Handbook offers an overview of different influences on participatory research, explores in detail how to address critical issues and design effective participatory research processes, and provides detailed accounts of how to use a wide range of participatory research methods. Chapters cover pioneering new participatory research techniques including methods that can be operationalised at scale, approaches to engaging the poorest and most marginalised, and ways of harnessing technologies to increase the scope of participation, amongst others.

Drawing upon a wide range of disciplines, and bringing together contributing authors from across the globe, this Handbook will be of interest to an international readership from across the broad spectrum of social sciences, including social policy, development studies, geography, sociology, criminology, political science, health and social care, education, psychology, business & management. It will also be an insightful and practical resource for facilitators, community workers, and activists for social change.

Part 1: Introduction

Part 2: Key Influences and Foundations of Participatory Research

Part 3: Critical Issues in the Practice of Participatory Research

Part 4: Methods and Tools

Part 4.1: Dialogic and Deliberative Processes

Part 4.2: Digital Technologies in Participatory Research

Part 4.3: Participatory Forms of Action Orientated Research

Part 4.4: Visual and Performative Methods

Part 4.5: Participatory Monitoring, Evaluation and Learning

Part 4.6: Mixing and Mashing Participatory and Formal Research

Part 5: Final Reflections

Full of practical advice and real-world examples, this step-by-step guide offers you an accessible introduction to doing quantitative social research using Microsoft Excel.

Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer.

Each chapter begins with a "Look Ahead" section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge.

New to the second edition:

• The addition of R syntax for all analyses and an update of SPSS and SAS syntax.
• The addition of a new chapter on GLMMs.
• Clarification of concepts and ideas that graduate students found confusing, including revised problems at the end of the chapters.

Written for those without an extensive mathematical background, this book is ideal for a graduate course in categorical data analysis taught in departments of psychology, educational psychology, human development and family studies, sociology, public health, and business. Researchers in these disciplines interested in applying these procedures will also appreciate this book's accessible approach.

A clear and comprehensive framework for bridging the widening gap between theorists and empiricists in social science

The credibility revolution, with its emphasis on empirical methods for causal inference, has led to concerns among scholars that the canonical questions about politics and society are being neglected because they are no longer deemed answerable. Theory and Credibility stakes out an opposing view-presenting a new vision of how, working together, the credibility revolution and formal theory can advance social scientific inquiry.

This authoritative book covers the conceptual foundations and practicalities of both model building and research design, providing a new framework to link theory and empirics. Drawing on diverse examples from political science, it presents a typology of the rich set of interactions that are possible between theory and empirics. This typology opens up new ways for scholars to make progress on substantive questions, and enables researchers from disparate traditions to gain a deeper appreciation for each other's work and why it matters.

Theory and Credibility shows theorists how to create models that are genuinely useful to empirical inquiry, and helps empiricists better understand how to structure their research in ways that speak to theoretically meaningful questions.

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.

This book:

• Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires
• Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills
• Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software
• Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences.