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This introductory textbook explores the role of research in health care and focuses in particular on the importance of organizing and describing research data using basic statistics. The goal of the text is to teach students how to analyze data and present the results of evidence-based data analysis. Based on the commonly-used SPSS software, a comprehensive range of statistical techniques—both parametric and non-parametric—are presented and explained. Examples are given from nursing, health administration, and health professions, followed by an opportunity for students to immediately practice the technique.
This work provides a foundation in the statistics portion of nursing. Topics expanded in this edition include reliability analysis, path analysis, measurement error, missing data, and survival analysis.
The thoroughly revised Fourth Edition of Statistical Methods for Healthcare Research continues the emphasis on reading, analysis, and writing of research results, and includes more content on reliability analysis, path analysis, measurement error, missing data, and survival analysis. This exceptional resource provides a well-grounded foundation for the statistics portion of nursing and all healthcare research courses. A computer disk, included with the text, contains data sets to use when completing the end of chapter application exercises that students can use to learn various statistical methods.
Drawn from the extensive database of Guide to Reference, this up-to-date resource provides an annotated list of print and electronic biomedical and health-related reference sources, including internet resources and digital image collections. Readers will find relevant research, clinical, and consumer health information resources in such areas as Medicine Psychiatry Bioethics Consumer health and health care Pharmacology and pharmaceutical sciences Dentistry Public health Medical jurisprudence International and global health Guide to Reference entries are selected and annotated by an editorial team of top reference librarians and are used internationally as a go-to source for identifying information as well as training reference professionals. Library staff answering health queries as well as library users undertaking research on their own will find this an invaluable resource.
In criminal cases, practitioners such as police officers, crime scene investigators, pathologists, prosecutors, and judges are expected to make decisions that are objective and impartial. However, research since the 1960's into so-called confirmation bias provides persuasive scientific evidence that humans are unable to do so. As flawed investigations and proceedings come to light, the importance of undertaking proper bias mitigation measures is clear. Confirmation Bias in Criminal Cases takes a multi-disciplinary approach to a complex, real-world issue. It lays out the chronology of criminal investigations and proceedings, and assesses how bias plays a role in each stage. It also offers research-based strategies to combat bias, such as independent review, contextual information management, linear sequential unmasking, and structured evaluations of the evidence. This book is vital reading for anyone involved in the criminal justice system. It not only gives a holistic view of the human element of confirmation bias but it also offers strategies for how to address it.
Focusing on the statistical methods most frequently used in the health care literature and featuring numerous charts, graphs, and up-to-date examples from the literature, this text provides a thorough foundation for the statistics portion of nursing and all health care research courses. All Fifth Edition chapters include new examples and new computer printouts using the latest software, SPSS for Windows, Version 12. New material on regression diagnostics has been added.
The dominant explanations of domestic violence, and the institutions to which battered women traditionally turn are challenged in this book. The final chapter deals with prevention suggesting ways in which male coercion will not be tolerated.
Pathophysiology: A Practical Approach, Second Edition is a must have text for teaching undergraduates the complex concepts related to pathophysiology. The Second edition offers an innovative, user-friendly approach to this subject and serves as a practical guide to pathophysiology. This text focuses on the most critical content taking the learner into consideration and has been crafted in a unique manner which provides ease of reading and the use of colorful graphics to bring complex content to life. Pathophysiology: A Practical Approach, Second Edition features updated information resulting from research and current epidemiological trends. Additionally, the author incorporates a concept-based approach which aligns with the recommendations from both the Institute of Medicine and the Robert Wood Johnson Foundation to promote clinical reasoning and lifelong learning. Key pedagogical features of the text include: • Chapter Objectives • Key Terms • Learning Points • Myth Busters • Critical Cases (called “Application to Practice”) • Chapter Summary • Learning Aids
We are on the verge of the nation's worst nursing shortage in history. Dedicated nurses are leaving hospitals in droves, and there are not enough new recruits to the profession to meet demand. Even hospitals that were once very highly regarded for the quality of their nursing care, such as Boston's Beth Israel Deaconess Medical Center, now struggle to fill vacant positions. What happened? Dana Beth Weinberg argues that hospital restructuring in the 1990s is to blame. In their attempts to retain profit margins or even just to stay afloat, hospitals adopted a common set of practices to cut costs and increase revenues. Many strategies squeezed greater productivity out of nurses and other hospit...
Mempelajari statistik secara bertahap melalui buku-buku dan internet akan sangat membantu meningkatkan pemahaman tentang statistik, apalagi jika dibimbing oleh orang yang mengerti tentang statistik. Kehadiran buku ini diharapkan dapat menjawab berbagai kesulitan, baik yang dialami oleh mahasiswa, praktisi kesehatan serta dosen terutama ketika mereka menyusun proposal penelitian maupun skripsi atau laporan penelitian yang memang memerlukan statistik.