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Statistics for evidence-based practice in nursing / MyoungJin Kim, Caroline Mallory, Teresa D. Valerio.

館藏資訊

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

摘要註

"Statistics for Evidence-Based Practice in Nursing is an accessible and comprehensive learning tool for nurses returning to graduate school or engaged in evidence-based practice. Peer-reviewed and course tested, the current edition continues to present statistics in a readable, user-friendly format to meet the learning needs of students. Through numerous updates on screenshots, data sets, instructor as well as student materials, additional figures, and hyperlinks in the electronic books, the current edition 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"--

內容註

Preface -- Acknowledgments -- Reviewers -- Evidence-based practice in nursing, or why do I need to take statistics? -- Statistical essentials I -- Statistical essentials II: measurement -- Working with Microsoft Excel and IBM SPSS Statistics Software (SPSS) -- Organizing and displaying data -- Descriptive statistics -- Hypothesis testing -- Getting ready for the analysis -- Examining relationships between and among variables -- Modeling relationships -- Tests for comparing group means: part I -- Tests for comparing group means: part II -- Nonparametric tests -- Categorical data analysis: nonparametric tests of association -- Avoiding comon statistical mistakes -- Appendix A: Random number table -- Appendix B: How to select the correct statistical test -- Appendix C: Critical values -- Glossary -- Index.

資料來源: Google Book
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