Statistics for Nursing Research: A Workbook for Evidence-Based Practice

Statistics for Nursing Research: A Workbook for Evidence-Based Practice

<p>Understand the statistical methods used in nursing research articles! <b>Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition</b> 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.</p><ul><b><li>Comprehensive coverage </b>includes exercises that address all common techniques of sampling, measurement, and statistical analysis that you are likely to see in nursing and medical literature.</li><li><b>A literature-based approach</b> incorporates a relevant research article into each exercise/chapter, with key excerpts.</li><li><b>45 sampling, measurement, and statistical analysis exercises</b> provide a practical review of both basic and advanced techniques, and prepare you to apply statistics to nursing practice.</li><li><b>Consistent format</b> for all chapters facilitates quick review and easier learning, covering the statistical technique in review, results from a research article, and study questions. </li><li><b>Study questions</b> in each chapter help you apply concepts to clinical practice.</li><li><b><i>Questions to Be Graded</b></i> in each chapter may be completed and submitted online, to assess your mastery of key statistical techniques.</li><li><b>A concise index</b> makes it easy to locate information quickly.</li> </ul><ul><b><li>NEW</b> <b>examples </b>show the latest, high-quality research studies. </li><li><b>NEW! Expanded coverage</b> 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.</li><li><b>NEW! <i>Understanding Statistical Methods</i> section</b> 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.</li><li><b>NEW! <i>Conducting and Interpreting Statistical Analyses</i> section</b> 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.</li><li><b>NEW! Answers to study questions</b> are located in the back of the book.</li> </ul>