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Improving surveys with paradata
Explore the practices and cutting-edge research on the new and exciting topic of paradata
Paradata are measurements related to the process of collecting survey data.
Improving Surveys with Paradata: Analytic Uses of Process Information is the most accessible and comprehensive contribution to this up-and-coming area in survey methodology.
Featuring contributions from leading experts in the field, Improving Surveys with Paradata: Analytic Uses of Process Information introduces and reviews issues involved in the collection and analysis of paradata. The book presents readers with an overview of the indispensable techniques and new, innovative research on improving survey quality and total survey error. Along with several case studies, topics include:
* Using paradata to monitor fieldwork activity in face-to-face, telephone, and web surveys
* Guiding intervention decisions during data collection
* Analysis of measurement, nonresponse, and coverage error via paradata
Providing a practical, encompassing guide to the subject of paradata, the book is aimed at both producers and users of survey data. Improving Surveys with Paradata: Analytic Uses of Process The book also serves as an excellent resource for courses on data collection, survey methodology, and nonresponse and measurement error.
eBook
Models for intensive longitudinal data
Rapid technological advances in devices used for data collection have led to the emergence of a new class of longitudinal data: intensive longitudinal data (ILD). Behavioral scientific studies now frequently utilize handheld computers, beepers, web interfaces, and other technological tools for collecting many more data points over time than previously possible. Other protocols, such as those used in fMRI and monitoring of public safety, also produce ILD, hence the statistical models in this volume are applicable to a range of data. The volume features state-of-the-art statistical modeling strategies developed by leading statisticians and methodologists working on ILD in conjunction with behavioral scientists. Chapters present applications from across the behavioral and health sciences, including coverage of substantive topics such as stress, smoking cessation, alcohol use, traffic patterns, educational performance and intimacy. Models for Intensive Longitudinal Data (MILD) is designed for those who want to learn about advanced statistical models for intensive longitudinal data and for those with an interest in selecting and applying a given model. The chapters highlight issues of general concern in modeling these kinds of data, such as a focus on regulatory systems, issues of curve registration, variable frequency and spacing of measurements, complex multivariate patterns of change, and multiple independent series. The extraordinary breadth of coverage makes this an indispensable reference for principal investigators designing new studies that will introduce ILD, applied statisticians working on related models, and methodologists, graduate students, and applied analysts working in a range of fields. (DIPF/Orig.).
eBook
Longitudinal and Panel Data
This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata.
eBook
Bit by bit : social research in the digital age
An innovative and accessible guide to doing social research in the digital age. In just the past several years, we have witnessed the birth and rapid spread of social media, mobile phones, and numerous other digital marvels. In addition to changing how we live, these tools enable us to collect and process data about human behavior on a scale never before imaginable, offering entirely new approaches to core questions about social behavior. Bit by Bit is the key to unlocking these powerful methods-a landmark book that will fundamentally change how the next generation of social scientists and data scientists explores the world around us. Bit by Bit is the essential guide to mastering the key principles of doing social research in this fast-evolving digital age. In this comprehensive yet accessible book, Matthew Salganik explains how the digital revolution is transforming how social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations. He provides a wealth of real-world examples throughout, and also lays out a principles-based approach to handling ethical challenges in the era of social media. Bit by Bit is an invaluable resource for social scientists who want to harness the research potential of big data and a must-read for data scientists interested in applying the lessons of social science to tomorrow's technologies.
Book
Quantitative data analysis
Take a candid look into how some traditional liberal arts colleges have incorporated nontraditional adult degree programs. This volume of case studies shows how a number of small, independent universities addressed various administrative and service functions for their adult programs. When taken together, it captures the emulsive nature of this imperfect blend as well as the fluidity of solutions. This issue covers: ● The dynamics that an adult program can bring to an institution ● Colleges that combine the adult program within university-wide, centralized processes ● Colleges that have mostly autonomous programs ● Institutions that developed a hybrid model ● The current status of incorporating nontraditional programs into traditional colleges and universities. This is the 159th volume of this Jossey-Bass series. Addressed to higher education decision makers on all kinds of campuses, New Directions for Higher Education provides timely information and authoritative advice about major issues and administrative problems confronting every institution.
eBook
Measure, probability, and mathematical finance
Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach features an introduction to the mathematical theory underlying the financial models that were developed and employed on Wall Street.
eBook