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Statistics for nursing : a practical approach / Elizabeth Heavey, PhD, RN, CNM, Professor of Nursing, SUNY College at Brockport, Brockport, New York.
Each new print copy includes Navigate 2 Advantage Access that unlocks a comprehensive and interactive eBook, student practice activities and assessments, a full suite of instructor resources, and learning analytics reporting tools.Statistics for Nursing: A Practical Approach, Third Edition is designed in accordance with the Conversation Theory of Gordon Pask and presents the complicated topic of statistics in an understandable manner for entry level nurses. The underlying principle of this design is to give students the opportunity to practice statistics while they learn statistics. The text accomplishes this through the inclusion of relevant clinical examples followed by end of chapter application exercises.The Third Edition has been updated with practice activities which enable students to apply the content they have learned. In addition, the authors have included new research articles to develop and reinforce literature critiquing skills. These new features provide more opportunities for students to apply the concepts learned while the explanations are beneficial to clinical experts interested in further developing evidence-based skills. This text meets the needs of both undergraduate nursing research students who need to learn how to critically analyze literature as well as graduate DNP students who must also be familiar with statistics for nursing in accordance with the rigor of the DNP program. New to the Third Edition:* Additional review questions* New and updated graphs and figures* Updated lesson content for computer application exercises.
Record details
- ISBN: 9781284142013 (paperback)
- Physical Description: xii, 301 pages : illustrations (some color) ; 23 cm
- Edition: Third edition.
- Publisher: Burlington, MA : Jones & Bartlett Learning, [2019]
- Copyright: ©2019
Content descriptions
| Bibliography, etc. Note: | Includes bibliographical references and index. |
| Formatted Contents Note: | Introduction to statistics and levels of measurement -- Presenting data -- Descriptive statistics, probability, and measures of central tendency -- Measuring data -- Sampling methods -- Generating the research idea -- Sample size, effects size and power -- Chi square -- Student test -- Analysis of variance -- Correlation coefficients -- Regression analysis -- Relative risk, odd ratio and attributable risk. |
Search for related items by subject
| Subject: | Nursing > Statistical methods. |
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- Book News : Book News Reviews
This textbook introduces statistical techniques for nurses, covering data presentation; descriptive statistics, probability, and measures of central tendency; data measurement; sampling methods; generating the research idea; sample size, effect size, and power; chi-square; the Student t-test; analysis of variance; correlation coefficients; regression analysis; and relative risk, odds ratio, and attributable risk. This edition has been updated with new research application articles, more clinically based explanations and application exercises, more on confidence intervals, and newly developed graphic content to illustrate concepts. It includes updated audio lectures, IBM SPSS Statistics video tutorials, updated lesson content for computer application exercises, a new test bank, and a new companion website. Annotation ©2018 Ringgold, Inc., Portland, OR (protoview.com) - Doody's Reviews : DOODY
This book offers a "teach back" approach to learning statistics: an introduction to a statistical concept followed by student demonstration of learning through practical and relevant application. Statistical concepts and related processes include both the mathematical knowledge and learning (how to do the statistics) and understanding of the purpose or meaning behind the statistic (providing the "why"). It includes access to a website. The purpose is to make statistics accessible to nursing students who are just beginning to learn statistical concepts. The intent is to provide statistical education through imparting knowledge, which includes relevant examples focused on practice and application of the statistical concept. The book presents a clear process for learning, which is clearly delineated. The website features provide strong support for face-to-face, hybrid, or online courses. The audience is nursing students, entry level (undergraduate) through advanced (graduate), requiring an introduction to, and development of, statistical knowledge and skills. The introduction of statistical concepts is supported by practical examples and learning is reinforced by practice questions. The use of diagrams, decision trees, tables, and figures make reading easy and explainable. The format spans statistical concepts including a basic introduction, measurement, sampling, design, testing, and analysis. Some advance concepts such as regression analysis are included. Each chapter offers key terms with definitions, learning objectives, connection of new concepts to statistical thinking, a summary, and application (review questions and research application). The appendix includes tables for reference. This book offers a well-thought-out and practical approach to learning statistics. Statistics is a complex subject for many nurses, and novices would find this resource helpful for basic understanding. Students in graduate courses would benefit as this book provides a strong, systematic way of learning or refreshing their previous knowledge. The connection of the concepts to nursing and health-related research and practical application is a strength of the book. The online videos used for incorporating SPSS for statistical analysis are a bonus for teachers and learners. 0.88. Lynne M. Kuhl, MSN, RN(Viterbo University). Copyright 2016 Doody Reviews.
