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.
|作者資訊||By Susan K. Grove, PhD, RN, ANP-BC, GNP-BC, Professor, College of Nursing, The University of Texas at Arlington, Arlington, Texas; Adult Nurse Practitioner, Family Practice, Grand Prairie, Texas and Daisha J. Cipher, PhD, Associate Professor, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas|
|Table of Content||
Part 1: Understanding Statistical Methods
Part 2: Conducting and Interpreting Statistical Analyses
|Trim||276 x 216 (8 1/2 x 10 7/8)|