Statistics For Evidence Based Practice In Nursing

Statistics for Evidence-Based Practice in Nursing, Third Edition teaches graduate students and professional nurses statistics using a readable, student- friendly approach. The Third Edition promotes a comprehensive understanding of statistics in all aspects of clinical practice and health care settings. Due to health care reform and the emphasis on quality care and patient safety, nurses are required to have the skills to interpret and evaluate statistical findings for practice, as well as use statistics in the design of evidence-based practice projects. Key Features: New evidence-based case studies and real-life examples to reflect current practice and issues in nursing and healthcare New critical thinking questions and self-quizzes to reinforce key concepts Written with an eye for clarity and accessibility to help drive student comprehension of statistics Larger, more complex datasets intended to expose students to the challenges of working with large populations Updated screenshots of the latest SPSS and Excel procedures for visual representation of statistical analysis in action Navigate 2 Premier Access

Statistics for Evidence-Based Practice in Nursing, Second Edition presents statistics in a readable, user-friendly manner for both graduate students and the professional nurse.

Statistics for Evidence-Based Practice in Nursing is an accessible and comprehensive learning tool for nurses returning to graduate school or in a professional role. Peer reviewed and course tested, this text presents statistics in a readable, user-friendly format to meet the learning needs of students. The text includes key terms, critical thinking questions, and case studies incorporating research and evidence-based practice to help nurses connect statistics with everyday work in the healthcare field. Key Features: * Screenshots throughout each chapter guide students through applying statistics using SPSS * Key terms serve as a tool to guide and focus study * Critical Thinking Questions allow students to apply what they have learned * Self-Quizzes reinforce key concepts at the end of each chapter Accompanied by Instructor Resources: * Save time with a Test Bank * Plan classroom lectures using PowerPoint Presentations created for each chapter * Review answers to Critical Thinking Questions and Self-Quizzes found in the text

Learn how to expand your interpretation and application of statistical methods used in nursing and health sciences research articles with Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 3rd Edition. Perfect for those seeking to more effectively build an evidence-based practice, this collection of practical exercises guides you in how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing research and statistics experts Drs. Susan K. Grove and Daisha Cipher, this is the only statistics workbook for nurses to include research examples from both nursing and the broader health sciences literature. This new third edition features new research article excerpts and examples, an enhanced focused on statistical methods commonly used in DNP projects, new examples from quality improvement projects, new content on paired samples analysis, expanded coverage of calculating descriptive statistics, an online Research Article Library, and more! Whether used in undergraduate, master’s, or doctoral education or in clinical practice, this workbook is an indispensable resource for any nursing student or practicing nurse needing to interpret or apply statistical data. Comprehensive coverage and extensive exercise practice address all common techniques of sampling, measurement, and statistical analysis that you are likely to see in nursing and health sciences literature. Literature-based approach uses key excerpts from published studies to reinforce learning through practical application. 36 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced statistical techniques. Study Questions in each chapter help you apply concepts to an actual literature appraisal. Questions to Be Graded sections in each chapter help assess your mastery of key statistical techniques. Consistent format for all chapters enhances learning and enables quick review. NEW! Updated research articles and examples are incorporated throughout to ensure currency and relevance to practice. NEW! Enhanced focus on statistical methods commonly used in DNP projects and expanded coverage on calculating descriptive statistics broadens your exposure to the statistical methods you will encounter in evidence-based practice projects and in the literature. NEW! Examples from quality improvement projects provide a solid foundation for meaningful, high-quality evidence-based practice projects. NEW! Research Article Library on Evolve provides full-text access to key articles used in the book. NEW! Content on paired samples analysis familiarizes you with this type of research analysis. NEW! Many figures added to serveral exercises to help you understand statistical concepts.

Understand the statistical methods used in nursing research articles! Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition helps you interpret and analyze the statistical data found in health sciences research articles. Practical exercises show how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing statistics experts Susan Grove and Daisha Cipher, this is the only statistics workbook for nursing to include research examples from both nursing and medical literature for a complete perspective on health sciences research. Comprehensive coverage includes exercises that address all common techniques of sampling, measurement, and statistical analysis that you are likely to see in nursing and medical literature. A literature-based approach incorporates a relevant research article into each exercise/chapter, with key excerpts. 45 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced techniques, and prepare you to apply statistics to nursing practice. Consistent format for all chapters facilitates quick review and easier learning, covering the statistical technique in review, results from a research article, and study questions. Study questions in each chapter help you apply concepts to clinical practice. Questions to Be Graded in each chapter may be completed and submitted online, to assess your mastery of key statistical techniques. A concise index makes it easy to locate information quickly. NEW examples show the latest, high-quality research studies. NEW! Expanded coverage helps undergraduate students apply the information learned in statistics and research courses, serves as a refresher/review for graduate students, and also helps in critically appraising studies to determine whether their findings may be used in evidence-based practice. NEW! Understanding Statistical Methods section includes exercises to help in understanding the levels of measurement (nominal, ordinal, interval, and ratio) and in appraising the samples and measurement methods in studies. NEW! Conducting and Interpreting Statistical Analyses section includes exercises to help in understanding the power analysis and how to conduct a power analysis for a study, showing how to determine the most appropriate statistical method(s) for analyzing data for a class project, for a clinical agency project, or for an actual research study. NEW! Answers to study questions are located in the back of the book.

This text on the application of best practices to improve nursing patient care covers the fundamentals of evidence-based practice, identifying research questions and evidence, methods for collecting evidence, evaluation of evidence and decision-making, and evaluating applications.

Nursing Research and Evidenced-Based Practice offers a unique approach to learning about nursing research and in particular evidence-based nursing practice. It is ideal for nursing students and practicing nurses who need to understand the language of research and the significance of research to their practice, as well as integrate research and evidence-based practice into their own practices. This innovative text provides a step-by-step guide on how to develop evidence-based practice proposals for the real world, and focuses on analyzing all forms of evidence. with chapter objectives, tables

Equip yourself to expertly conduct evidence-based practice (EBP) or quality improvement (QI)projects. Written by renowned EBP and QI experts LoBiondo-Wood, Haber, & Titler, Evidence-Based Practice for Nursing and Healthcare Quality Improvement provides a straightforward yet comprehensive guide to planning, implementation, and evaluation of EBP and QI projects to improve quality of care and health outcomes. This brand-new, full-color, richly illustrated textbook begins with foundational content and then works through the processes of developing and exploring clinical questions, implementing results, and disseminating information. The book’s content and approach have been developed specifically with the adult learner in mind, with multiple full-text appendix articles referenced throughout as examples, along with unique pedagogical aids including EBP Tips and EBP Key points to ground concepts in a "real-life" context. NEW! Written by renowned EBP experts LoBiondo-Wood, Haber, & Titler to provide a straightforward yet comprehensive guide to planning and conducting EBP and QI projects. NEW! A straightforward, practical approach begins with foundational content and then works through the processes of developing and exploring clinical questions, implementing results, and disseminating information. NEW! Developed specifically with the adult learner in mind, with multiple full-text appendix articles referenced throughout as examples, along with unique pedagogical aids including EBP Tips and EBP Key Points to ground concepts in a "real-life" context.