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
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Illustrationen
Approx. 45 Illus.
; Illustrations
Maße
Höhe: 276 mm
Breite: 216 mm
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ISBN-13
978-0-323-65411-1 (9780323654111)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Autor*in
Professor Emeritus, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas; Adult Nurse Practitioner, Grand Prairie, Texas, USA
Professor, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA
Part 1: Understanding Statistical Methods
1. Identifying Levels of Measurement: Nominal, Ordinal, Interval, and Ratio
2. Identifying Probability and Nonprobability Sampling Methods in Studies
3. Understanding the Sampling Section of a Research Report: Population, Sampling Criteria, Sample Size, Refusal Rate, and Attrition Rate
4. Understanding Reliability of Measurement Methods
5. Understanding Validity of Measurement Methods
6. Understanding Frequencies and Percentages
7. Interpreting Line Graphs
8. Measures of Central Tendency: Mean, Median, and Mode
9. Measures of Dispersion: Range and Standard Deviation
10. Description of a Study Sample
11. Interpreting Scatterplots
12. Algorithm for Determining the Appropriateness of Inferential Statistical Techniques
13. Understanding Pearson Product-Moment Correlation Coefficient
14. Understanding Simple Linear Regression
15. Understanding Multiple Linear Regression
16. Understanding Independent Samples t-test
17. Understanding Paired or Dependent Samples t-test
18. Understanding Analysis of Variance (ANOVA) and Post Hoc Analyses
19. Understanding Pearson Chi Square
20. Understanding Spearman Rank-Order Correlation Coefficient
21. Understanding Mann-Whitney U Test
22. Understanding Wilcoxon Signed-Rank Test
Part 2: Conducting and Interpreting Statistical Analyses
23. Selecting Appropriate Analysis Techniques for Studies
24. Describing the Elements of Power Analysis: Power, Effect Size, Alpha, and Sample Size
25. Conducting Power Analysis
26. Determining the Normality of a Distribution
27. Calculating Descriptive Statistics
28. Calculating Pearson Product-Moment Correlation Coefficient
29. Calculating Simple Linear Regression
30. Calculating Multiple Linear Regression
31. Calculating t-tests for Independent Samples
32. Calculating t-tests for Paired (Dependent) Samples
33. Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA
34. Calculating Sensitivity and Specificity
35. Calculating Pearson Chi-Square
36. Calculating Odds Ratio and 95% Confidence Intervals
