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Q Methodology defines the distinctive set of psychometric and operational principles which, when combined with specialized statistical applications of correlation and factor-analysis techniques, provide researchers with a systematic and rigorously quantitative means for examining human subjectivity. Based on the premise that subjectivity is communicable and advanced from self-reference, the method's central concern is to ensure that self-reference is preserved and not compromised or confused by external investigation. The authors outline the appropriate principles, techniques and procedures which advance this goal, including data gathering, statistics, and small-sample behavioral research.

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Principles of Research Methodology: A Guide for Clinical Investigators Description

Principles of Research Methodology: A Guide for Clinical Investigators is the definitive, comprehensive guide to understanding and performing clinical research. Designed for medical students, physicians, basic scientists involved in translational research, and other health professionals, this indispensable reference also addresses the unique challenges and demands of clinical research and offers clear guidance in becoming a more successful member of a medical research team and critical reader of the medical research literature. The book covers the entire research process, beginning with the conception of the research problem to publication of findings. Principles of Research Methodology: A Guide for Clinical Investigators comprehensively and concisely presents concepts in a manner that is relevant and engaging to read. The text combines theory and practical application to familiarize the reader with the logic of research design and hypothesis construction, the importance of research planning, the ethical basis of human subjects research, the basics of writing a clinical research protocol and scientific paper, the logic and techniques of data generation and management, and the fundamentals and implications of various sampling techniques and alternative statistical methodologies. Organized in thirteen easy to read chapters, the text emphasizes the importance of clearly-defined research questions and well-constructed hypothesis (reinforced throughout the various chapters) for informing methods and in guiding data interpretation. Written by prominent medical scientists and methodologists who have extensive personal experience in biomedical investigation and in teaching key aspects of research methodology to medical students, physicians and other health professionals, the authors expertly integrate theory with examples and employ language that is clear and useful for a general medical audience. A major contribution to the methodology literature, Principles of Research Methodology: A Guide for Clinical Investigators is an authoritative resource for all individuals who perform research, plan to perform it, or wish to understand it better.

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Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs.

 

The Theory and Practice of Item Response Theory (Methodology in the Social Sciences) Best Reviews

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Item response theory (IRT) is a latent variable modeling approach used to minimize bias and optimize the measurement power of educational and psychological tests and other psychometric applications.

Designed for researchers, psychometric professionals, and advanced students, this book clearly presents both the "how-to" and the "why" of IRT. It describes simple and more complex IRT models and shows how they are applied with the help of widely available software packages. Chapters follow a consistent format and build sequentially, taking the reader from model development through the fit analysis and interpretation phases that one would perform in practice. The use of common empirical data sets across the chapters facilitates understanding of the various models and how they relate to one another.

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Now viewed as its own scientific discipline, clinical trial methodology encompasses the methods required for the protection of participants in a clinical trial and the methods necessary to provide a valid inference about the objective of the trial. Drawing from the authors’ courses on the subject as well as the first author’s more than 30 years working in the pharmaceutical industry, Clinical Trial Methodology emphasizes the importance of statistical thinking in clinical research and presents the methodology as a key component of clinical research.

From ethical issues and sample size considerations to adaptive design procedures and statistical analysis, the book first covers the methodology that spans every clinical trial regardless of the area of application. Crucial to the generic drug industry, bioequivalence clinical trials are then discussed. The authors describe a parallel bioequivalence clinical trial of six formulations incorporating group sequential procedures that permit sample size re-estimation. The final chapters incorporate real-world case studies of clinical trials from the authors’ own experiences. These examples include a landmark Phase III clinical trial involving the treatment of duodenal ulcers and Phase III clinical trials that contributed to the first drug approved for the treatment of Alzheimer’s disease.

Aided by the U.S. FDA, the U.S. National Institutes of Health, the pharmaceutical industry, and academia, the area of clinical trial methodology has evolved over the last six decades into a scientific discipline. This guide explores the processes essential for developing and conducting a quality clinical trial protocol and providing quality data collection, biostatistical analyses, and a clinical study report, all while maintaining the highest standards of ethics and excellence.

Educational Research, Methodology and Measurement (Resources in Education Series) Reviews

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During the past decade new approaches to educational measurement have become more widely recognized and the use of computer programs has been developed to make sound use of the procedures and techniques associated with item response theory. However, the implications of these developments for research methodology have not yet been fully recognized. This Encyclopedia will address not only these changes for which the extent of developments are currently becoming evident but will also look forward to the major advances in the methods employed in empirical research which will arise from the use of improved measurement and scaling procedures.The Encyclopedia is divided into three sections. The first section seeks to provide a broad coverage of topics related to the methods of educational inquiry. This section includes articles that trace the history of educational research and the methods of both humanistic and scientific research which are linked by a key article on research in education: epistemological issues. Other general articles consider the methods of evaluation and policy-oriented research. The contribution of critical theory is also discussed. The second section includes articles on research methodology and statistical analysis, with consideration given to increasing both the strength of inferences from evidence and the confirmation of hypotheses and models developed from theory.The procedures employed in both the humanistic and scientific approaches, as well as in a wide range of techniques employed in the statistical analysis of both quantitative and qualitative data are also presented. The third section contains articles on measurement for educational research and covers the fields of measurement theory, achievement testing, attitude measurement and the applications of measurement in research. The focus of this section is towards the improvement of measurement for educational research. Articles include updated and revised material from the "International Encyclopedia of Education, 2nd Edition" (described by "Choice" as being "a premier reference work when judged on virtually every criteria applied to a reference work") together with newly commissioned material.

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How to apply statistical methods to survey data--a guide to effective analysis of health surveys.

With large health surveys becoming increasingly available for public use, researchers with little experience in survey methods are often faced with analyzing data from surveys to address scientific and programmatic questions. This practical book provides statistical techniques for use in survey analysis, making health surveys accessible to statisticians, biostatisticians, epidemiologists, and health researchers. The authors clearly explain the theory and methods of survey analysis along with real-world applications. They draw on their work at the National Institutes of Health as well as up-to-date information from across the literature to present:
* The sampling background necessary to understand health surveys.
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* Extensive bibliography.

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Popular in its first edition, Dictionary of Statistics and Methodology will help students get through a difficult journal article or passage. This useful dictionary has been revised with 600 additional new terms and definitions compiled from readers' requests and suggestions! As you've come to appreciate in the first edition, the Second Edition of the Dictionary of Statistics and Methodology contains many examples and definitions written in ordinary English. Author W. Paul Vogt pays special attention to terms that most often prevent educated general readers from understanding journal articles and books by emphasizing concepts over calculations. The level of explanation varies with the simplicity or complexity of the term defined so that more detail is offered for basic terms (for more introductory readers) while less is used to explain more advanced concepts for readers who have more background.

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