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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
Mixed methods research in poverty and vulnerability : sharing ideas and learning lessons
\"The added value of mixed methods research in poverty and vulnerability is now widely recognized. However, despite the expanding volume of literature on the use of mixed methods, gaps and challenges still remain. This edited volume focuses on issues of credibility, usability and complexity, considering how mixed methods approaches can better respond to these issues so as to make research more credible, usable and responsive to complexity. The contributors share experiences and lessons learned from research in developed and developing country contexts in respect of mixed methods in poverty measurement, evaluation research and the translation from research to policy\"-- Provided by publisher.
Book
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
How to Construct a Mixed Methods Research Design
This article provides researchers with knowledge of how to design a high quality mixed methods research study. To design a mixed study, researchers must understand and carefully consider each of the dimensions of mixed methods design, and always keep an eye on the issue of validity. We explain the seven major design dimensions: purpose, theoretical drive, timing (simultaneity and dependency), point of integration, typological versus interactive design approaches, planned versus emergent design, and design complexity. There also are multiple secondary dimensions that need to be considered during the design process. We explain ten secondary dimensions of design to be considered for each research study. We also provide two case studies showing how the mixed designs were constructed.
Journal Article
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
Qualitative and mixed methods data analysis using Dedoose : a practical approach for research across the social sciences
\"Qualitative and Mixed Methods Data Analysis using Dedoose will provide both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed methods and qualitative inquiry using Dedoose software. The authors use their depth of experience designing and updating Dedoose as well as their significant research experience to give the reader practical strategies for using Dedoose from a wide range of research studies. Qualitative and Mixed Methods Data Analysis using Dedoose walks researchers, students and evaluators through designing a study, conducting fieldwork and reporting credible findings. In the first section the book gives a quick overview of qualitative and mixed methods research and designing studies to work easily with available software, including Dedoose. The authors pay significant attention to data analysis in the second section, addressing the challenges of working in teams, working with just qualitative data, and analyzing qualitative and quantitative data in a mixed method study. The final section is devoted to reporting results and data visualization within Dedoose. Throughout the book, case studies are presented to illustrate the topics discussed with real research examples. Working through this book will give researchers improved technological skills to use Dedoose effectively in their research\"-- Provided by publisher.
Book
Exploring Students’ Articulation of Value in a Social Research Methods Class: Towards a Phenomenography of Value Making
This study describes journalism students' value making of social research methods, such as sampling, data gathering strategies and quantitative and qualitative data analysis, by using a mixed-method approach to analyze 260 written reflection assignments. In their reflections, 26 student participants assessed the value of their new knowledge of social research methods on ten different occasions throughout the term. The qualitative analysis consisted of two stages: a content analysis and an analysis of students' collective experience of value making (phenomenographic approach). The findings of the content analysis showed that students generally value knowledge that is seen as useful and familiar from the perspective of trainee practitioners (professional standpoint). A focus on students' collective experience showed that value making happens when students adopt a standpoint from where to judge new knowledge and make connections between new and past knowledge and experience. Weak connections may lead students to disregard new content. The analysis of connections showed that students either reproduce the connections made by the instructor in class (performative connection) or make an original link with present and past experiences and knowledge (original connection). Performative connections produce general statements of value making, while concrete value making happens when students explicitly integrate and transfer knowledge to produce original connections with past and present personal or professional learning and experience.
Journal Article