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How can the richness of individual lives be captured by the objective methods and statistical analyses of developmental research? Some of the leaders in developmental research pursue the answers to this question in this book. Each chapter is followed by a commentary and discussion by Marian Radke Yarrow.
[Publisher-supplied data] An international cast of the top names in developmental research explore how researchers can use group data to understand individual patterns and pathways over time. Since the dominant statistical models and sampling methods do not accurately reflect and capture the way in which individuals change, but rather statistically treat the individual as an unchanging constant (e.g., as if a 2-year-oldÆs personality is identical to a 30-year-oldÆs). After an introduction to this methodological dilemma, the book shows how empirical procedures can be employed in a stepwise progression to permit a focus on individual children. The next chapter explains how individuals versus variables are not stable over time and how to adjust analysis to reflect this. This is followed by a discussion that outlines some of the key technical details and illustrates the choices that confront researchers in the application of these procedures to longitudinal data sets. Subsequent chapters cover such issues as the value of methodological focus on extreme groups, such as fearful and very exuberant children; ways to analyze personality changes over time, how to combine the strengths of variable-oriented and categorical procedures to achieve a focus on individuals; how to correlate retrospective reports with actual events, and how developmental methods can be brought into line with the study of individual pathways. Each chapter is followed by a commentary and discussion by Marian Radke Yarrow. Methods and Models for Studying the Individual offers readers a guide for evaluating the methodological merits of the different strategies for studying individuals.
Healthcare decision makers in search of reliable information that compares health interventions increasingly turn to systematic reviews for the best summary of the evidence. Systematic reviews identify, select, assess, and synthesize the findings of similar but separate studies, and can help clarify what is known and not known about the potential benefits and harms of drugs, devices, and other healthcare services. Systematic reviews can be helpful for clinicians who want to integrate research findings into their daily practices, for patients to make well-informed choices about their own care, for professional medical societies and other organizations that develop clinical practice guidelines. Too often systematic reviews are of uncertain or poor quality. There are no universally accepted standards for developing systematic reviews leading to variability in how conflicts of interest and biases are handled, how evidence is appraised, and the overall scientific rigor of the process. In Finding What Works in Health Care the Institute of Medicine (IOM) recommends 21 standards for developing high-quality systematic reviews of comparative effectiveness research. The standards address the entire systematic review process from the initial steps of formulating the topic and building the review team to producing a detailed final report that synthesizes what the evidence shows and where knowledge gaps remain. Finding What Works in Health Care also proposes a framework for improving the quality of the science underpinning systematic reviews. This book will serve as a vital resource for both sponsors and producers of systematic reviews of comparative effectiveness research.
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Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.
This authoritative reference work contains more than 300 entries covering all aspects of the multi-disciplinary field of adult development and aging Brings together concise, accurate summaries of classic topics as well as the most recent thinking and research in new areas Covers a broad range of issues, from biological and physiological changes in the body to changes in cognition, personality, and social roles to applied areas such as psychotherapy, long-term care, and end-of-life issues Includes contributions from major researchers in the academic and clinical realms 3 Volumes www.encyclopediaadulthoodandaging.com
During the last decade there has been increased awareness of the limitations of standard approaches to the study of development. When the focus is on variables and relationships, the individual is easily lost. This book describes an alternative, person-oriented approach in which the focus is on the individual as a functioning whole. The authors take as their theoretical starting points the holistic-interactionistic research paradigm expounded by David Magnusson and others, and the new developmental science in which connections and interactions between different systems (biological, psychological, social, etc.) are stressed. They present a quantitative methodology for preserving--to the maximum extent possible--the individual as a functioning whole that is largely based on work carried out in the Stockholm Laboratory for Developmental Science over the past 20 years. The book constitutes a complete introductory guide to the person-oriented approach. The authors lay out the underlying theory, a number of basic methods, the necessary computer programs, and an extensive empirical example. (The computer programs have been collected into a statistical package, SLEIPNER, that is freely accessible on the Internet. The empirical example deals with boys' school adjustment from a pattern perspective and covers both positive and negative adaptation.) Studying Individual Development in an Interindividual Context: A Person-Oriented Approach will be crucial reading for all researchers who seek to understand the complexities of human development and for their advanced students.
Part of the authoritative four-volume reference that spans the entire field of child development and has set the standard against which all other scholarly references are compared. Updated and revised to reflect the new developments in the field, the Handbook of Child Psychology, Sixth Edition contains new chapters on such topics as spirituality, social understanding, and non-verbal communication. Volume 1: Theoretical Models of Human Development, edited by Richard M. Lerner, Tufts University, explores a variety of theoretical approaches, including life-span/life-course theories, socio-culture theories, structural theories, object-relations theories, and diversity and development theories. New chapters cover phenomenology and ecological systems theory, positive youth development, and religious and spiritual development.
Bringing together leading authorities, this unique handbook reviews the breadth of current approaches for studying how people think, feel, and behave in everyday environments, rather than in the laboratory. The volume thoroughly describes experience sampling methods, diary methods, physiological measures, and other self-report and non-self-report tools that allow for repeated, real-time measurement in natural settings. Practical guidance is provided to help the reader design a high-quality study, select and implement appropriate methods, and analyze the resulting data using cutting-edge statistical techniques. Applications across a wide range of psychological subfields and research areas are discussed in detail.
Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.