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An analysis of data treatment methodology for longitudinal research studies.
This accessible, interdisciplinary and non-technical approach to longitudinal research identifies ways in which longitudinal research crosses the barriers between disciplines. The author covers a wide variety of subjects ranging from the differences between longitudinal and cross-sectional research in terms of consistency and accuracy of results to issues that may affect the quality of longitudinal data.
This overview of the central issues of data quality in longitudinal research focuses on data relevant for studying individual development. The topics covered include reliability, validity, sampling, aggregation, and the correspondence between theory and method. More specific, practical issues in longitudinal research, such as the drop-out problem and issues of confidentiality are also addressed. The volume is the result of an interdisciplinary endeavor by leading European scientists to discuss appropriate ways of handling various types of longitudinal data, including psychiatric data, alcohol data, and criminal data.
This book addresses a broad array of pressing challenges of longitudinal surveys and provides innovative solutions to methodological problems based on the example of the NEPS. It covers longitudinal issues such as sampling, weighting, recruiting and fieldwork management, the design of longitudinal surveys and the implementation of constructs, conducting competence tests over the life course, effective methods to improve and to maintain the highest level of data quality, data management tools for large-scale longitudinal surveys, the dissemination of research data to heterogeneous scientific communities, as well as establishing a long-term public relations and communications unit integrating a study’s stakeholder community over time.
This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists.
One of the major changes in the social science research landscape in recent years has been the introduction of computerised panel surveys in Europe and the US which make longitudinal data widely available to graduate students for the first time. Elisabetta Ruspini here provides a concise yet comprehensive introduction to the issues involved in this kind of research. This book: * Defines the concept of longitudinal research * Gives guidance on sources of longitudinal data in Europe and the US and their strengths and weaknesses * Discusses the choices that need to be made in this kind of research - for instance the advantages and disadvantages of certain types of research data and of different types of analysis * Highlights some of the problems involved, e.g. the issue of comparability within longitudinal research
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory
Johnny Saldana outlines the basic elements of longitudinal qualitative data, focusing on micro-levels of change observed within individual cases and groups of participants. He draws upon his primary experience in theater education to examine time and change in longitudinal qualitative studies; contending that "playwrights and qualitative researchers write for the same purpose: to create a unique, insightful, and engaging text about the human condition." Offering sixteen specific questions through which researchers may approach the analysis of longitudinal qualitative data, Professor Saldana presents a text intended as a primer for fellow newcomers to long term inquiry, based on traditional social science methods from traditional qualitative and quantitative paradigms, but enriched by an artist-educator's unconventional perspective.
By looking at the processes of change over time - by carrying out longitudinal studies - researchers answer questions about learning, development, educational growth, social change and medical outcomes. However, longitudinal research has many faces. This book examines all the main approaches as well as newer developments (such as structural equation modelling, multilevel modelling and optimal scaling) to enable the reader to gain a thorough understanding of the approach and make appropriate decisions about which technique can be applied to the research problem. Conceptual explanations are used to keep technical terms to a minimum; examples are provided for each approach; issues of design, measurement and significance are considered; and a standard notation is used throughout.
Mary Lynne Derrington’s Qualitative Longitudinal Methods: Researching Implementation and Change addresses the use of the qualitative longitudinal methods, their unique methodological features, and the challenges and benefits to this approach. This short supplemental text uses examples of published studies, and the author’s own stories and examples, to show application of the concepts. A chapter on how to prepare a manuscript for publication concentrates on the distinctive aspects of publishing longitudinal studies. The book will be useful to those researching change and its impact on organizations and individuals resulting from the implementation of programs and policies.