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Author: William R. Lenderking
Publisher:
ISBN: 9780965683746
Category :
Languages : en
Pages : 386
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Book Description
Author: William R. Lenderking
Publisher:
ISBN: 9780965683746
Category :
Languages : en
Pages : 386
Get Book Here
Book Description
Author: Steven P. Reise
Publisher: Routledge
ISBN: 1317565703
Category : Psychology
Languages : en
Pages : 484
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Book Description
Item response theory (IRT) has moved beyond the confines of educational measurement into assessment domains such as personality, psychopathology, and patient-reported outcomes. Classic and emerging IRT methods and applications that are revolutionizing psychological measurement, particularly for health assessments used to demonstrate treatment effectiveness, are reviewed in this new volume. World renowned contributors present the latest research and methodologies about these models along with their applications and related challenges. Examples using real data, some from NIH-PROMIS, show how to apply these models in actual research situations. Chapters review fundamental issues of IRT, modern estimation methods, testing assumptions, evaluating fit, item banking, scoring in multidimensional models, and advanced IRT methods. New multidimensional models are provided along with suggestions for deciding among the family of IRT models available. Each chapter provides an introduction, describes state-of-the art research methods, demonstrates an application, and provides a summary. The book addresses the most critical IRT conceptual and statistical issues confronting researchers and advanced students in psychology, education, and medicine today. Although the chapters highlight health outcomes data the issues addressed are relevant to any content domain. The book addresses: IRT models applied to non-educational data especially patient reported outcomes Differences between cognitive and non-cognitive constructs and the challenges these bring to modeling. The application of multidimensional IRT models designed to capture typical performance data. Cutting-edge methods for deriving a single latent dimension from multidimensional data A new model designed for the measurement of constructs that are defined on one end of a continuum such as substance abuse Scoring individuals under different multidimensional IRT models and item banking for patient-reported health outcomes How to evaluate measurement invariance, diagnose problems with response categories, and assess growth and change. Part 1 reviews fundamental topics such as assumption testing, parameter estimation, and the assessment of model and person fit. New, emerging, and classic IRT models including modeling multidimensional data and the use of new IRT models in typical performance measurement contexts are examined in Part 2. Part 3 reviews the major applications of IRT models such as scoring, item banking for patient-reported health outcomes, evaluating measurement invariance, linking scales to a common metric, and measuring growth and change. The book concludes with a look at future IRT applications in health outcomes measurement. The book summarizes the latest advances and critiques foundational topics such a multidimensionality, assessment of fit, handling non-normality, as well as applied topics such as differential item functioning and multidimensional linking. Intended for researchers, advanced students, and practitioners in psychology, education, and medicine interested in applying IRT methods, this book also serves as a text in advanced graduate courses on IRT or measurement. Familiarity with factor analysis, latent variables, IRT, and basic measurement theory is assumed.
Author: Peter J. Neumann
Publisher: Oxford University Press
ISBN: 0197512909
Category : Medical
Languages : en
Pages : 312
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Book Description
The US prescription drug business is a $500 billion industry whose rising prices carry profound consequences for patients, caregivers, employers and taxpayers across the nation. In the United States, average prices of leading brand-name drugs are two to four times higher than prices charged in other wealthy countries, raising questions as to what Americans are getting for the extra expense. On the other hand, healthy industry returns have arguably fueled life-saving innovation. With the advent of ever more targeted and powerful treatments, including cell- and gene-based therapies with multi-million-dollar price tags, the need for sensible drug pricing policies will only intensify. The Right Price sheds light on the controversial topic of drug pricing by providing an accessible guide to pharmaceutical markets and analytic techniques used to measure the value of drug therapies. It illustrates the need for value-based pricing through real-life stories of patients and their experiences with the drug industry and explains why simple solutions like price controls and the importation of cheaper drugs from other countries are problematic. This volume describes how researchers and policy makers have pursued drug valuation efforts in the past, and lays out a series of recommendations, based on years of shared author experience serving on national drug policy platforms, for how to further improve pharmaceutical value assessment in the United States. With unique industry insights and clear narrative, The Right Price unveils why the pricing of drugs continues to be so challenging and how public and private officials can create more informed policies to achieve the right balance between drug pricing and value.
Author: Elinor C. G. Chumney
Publisher: ASHP
ISBN: 1585281115
Category : Business & Economics
Languages : en
Pages : 225
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Book Description
This book introduces students and clinicians to common statistical methods and study designs used in pharmacoepidemiology, outcomes research, and more.
Author: Michael W. Kattan
Publisher: SAGE
ISBN: 1412953723
Category : Medical
Languages : en
Pages : 1281
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Book Description
The Encyclopedia of Medical Decision Making presents state-of-the-art research and ready-to-use facts sorting out findings on medical decision making and their applications.
Author: Leiyu Shi
Publisher: Cengage Learning
ISBN:
Category : Education
Languages : en
Pages : 440
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Book Description
Health services research is a rapidly expanding field of inquiry. Typically health services researchers conduct investigation within different fields: health policy, health systems research, health outcomes research, clinical epidemiology, technology assessment, clinical decision analysis, operations research, health economics, medical sociology, medical anthropology, to name a few. An important impetus to the rapid development of health services research is the breathtaking advance of the medical enterprises. there are a number of features of this book. First, the book intends to be a practical guide for those interested in health services research. Steps will be delineated and illustrated clearly in the text, tables, and figures. Second, health services research examples are used throughout. Third, the book integrates research design with analysis. While this is not a statistical textbook, commonly used statistics are discussed in terms of their use for different levels of analysis and the nature of the variables. Fourth, the book also provides resources for students and researchers of health services.
Author: Mary Law
Publisher: Taylor & Francis
ISBN: 1040141056
Category : Medical
Languages : en
Pages : 446
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Book Description
While evidence-based practice (EBP) has greatly influenced rehabilitation in the past decade, it continues to evolve and practitioners need guidance to implement evidence into their practice. Evidence-Based Rehabilitation: A Guide to Practice, the best-selling text providing step-by-step EBP guidance for rehabilitation professionals, has been updated into an expanded Third Edition. In Evidence-Based Rehabilitation, Third Edition Drs. Mary Law and Joy MacDermid, along with their contributors, explain evidence-based rehabilitation, the concepts underlying EBP, and build the reader’s knowledge and skills through specific learning. The text is organized by the steps of the EBP process—introduction to EBP, finding the evidence, assessing the evidence, and using the evidence. EBP focuses first and foremost on making the best decisions for each client and using the best information available. For many rehabilitation practitioners, building skills in EBP is best done one step at a time. Evidence-Based Rehabilitation helps the rehabilitation student and practitioner develop his or her knowledge and skills to implement evidence-based rehabilitation in practice. Benefits of the Third Edition: • All chapters have been updated with new information and resources • New chapters about systematic reviews, and knowledge transfer • Extensive guide available with specific student activities and answers for faculty use • Critical review forms included for student use—these forms have been used by practitioners and researchers around the world for 10 to 20 years • Recognition throughout the book that EBP in rehabilitation means bringing together research evidence, clinical reasoning of the therapist and client values and goals • Fits the standard 3-unit course design with 11 to 12 sessions Included with the text are online supplemental materials for faculty use in the classroom. Designed and written by an occupational therapist and a physical therapist with extensive research, education, and practice experience, Evidence-Based Rehabilitation: A Guide to Practice, Third Edition will guide both occupational therapy and physical therapy students and practitioners as they incorporate evidence-based practice into their work.
Author: Jennifer Madans
Publisher: John Wiley & Sons
ISBN: 1118036999
Category : Mathematics
Languages : en
Pages : 299
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Book Description
Insightful observations on common question evaluation methods and best practices for data collection in survey research Featuring contributions from leading researchers and academicians in the field of survey research, Question Evaluation Methods: Contributing to the Science of Data Quality sheds light on question response error and introduces an interdisciplinary, cross-method approach that is essential for advancing knowledge about data quality and ensuring the credibility of conclusions drawn from surveys and censuses. Offering a variety of expert analyses of question evaluation methods, the book provides recommendations and best practices for researchers working with data in the health and social sciences. Based on a workshop held at the National Center for Health Statistics (NCHS), this book presents and compares various question evaluation methods that are used in modern-day data collection and analysis. Each section includes an introduction to a method by a leading authority in the field, followed by responses from other experts that outline related strengths, weaknesses, and underlying assumptions. Topics covered include: Behavior coding Cognitive interviewing Item response theory Latent class analysis Split-sample experiments Multitrait-multimethod experiments Field-based data methods A concluding discussion identifies common themes across the presented material and their relevance to the future of survey methods, data analysis, and the production of Federal statistics. Together, the methods presented in this book offer researchers various scientific approaches to evaluating survey quality to ensure that the responses to these questions result in reliable, high-quality data. Question Evaluation Methods is a valuable supplement for courses on questionnaire design, survey methods, and evaluation methods at the upper-undergraduate and graduate levels. it also serves as a reference for government statisticians, survey methodologists, and researchers and practitioners who carry out survey research in the areas of the social and health sciences.
Author: Wim J. van der Linden
Publisher: CRC Press
ISBN: 1315362813
Category : Mathematics
Languages : en
Pages : 454
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Book Description
Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT). While IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void. Volume Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.
Author: Jessica G. Burke, PhD, MHS
Publisher: Springer Publishing Company
ISBN: 0826198783
Category : Medical
Languages : en
Pages : 278
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Book Description
"This book presents a new approach to conducting, evaluating, and presenting community and public health research... This is [a] valuable book for learning alternative ways of conducting and disseminating research."--Doody's Medical Reviews The Burke & Albert text is a ìmust-haveî for all community researchers in public health. It contains innovative, community-engaged research methods that are described in an easily understandable manner. Challenging the notion of the quantitative-qualitative dichotomy, the contributors include integrated research methods including spatial analysis, concept mapping, network approaches, system dynamics, visual voice, and news media analysis. This is the first text to advance beyond traditional research methods for promoting community health by presenting a new paradigm that integrates qualitative and quantitative research methods. Written for graduate students of public health and practicing researchers, the book highlights new technologies and methodologies that are particularly suited to addressing complex health issues, translating research into action, and engaging the community and relevant stakeholders. Eschewing the rigid distinction between qualitative and quantitative methods, this new paradigm facilitates a more fluid use of integrated methods and interdisciplinary expertise. With a focus on inferring meaning, the book stresses the conjoint effects of place, time, voice, organization, and scale on health outcomes. Use of these new research methods will provide greater insight into how and why contextual and community factors impact health and aid in developing more effective intervention programs. The text focuses on new methods for inferring meaning from both the quantitative information that characterizes communities and the words community members use to describe their lives. It pays particular attention to data collection and analysis and clearly demonstrates the intricacies of using spatial, systems, and modeling analysis for community health. The first section on inferring meaning from numbers includes spatial analysis, agent-based models, community network analysis, and realist reviews. The second section, about inferring meaning from words, addresses system dynamics, concept mapping, visual voices, and media analysis. Chapters describe, step by step, how to apply new methodologies to pressing health issues and provide Web links to interactive mapping and videos of agent-based models. Additionally, the authors provide examples from their research to support methodological points. Key features: Introduces a new paradigm for community public health research that integrates qualitative and quantitative methods Provides in-depth guidance about applying these new methodologies to pressing community health issues Details applications of new methods such as agent-based simulations, visual voice methods, geospatial analysis, and concept mapping Bridges the disciplines of community health and epidemiology Written for and by multidisciplinary public health scholars
