Saltar al contenido principal
Elsevier

Statistics for Nursing Research

A Workbook for Evidence-Based Practice

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 Workb… Leer más

Descripción

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.

Puntos claves

  • 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

Índice

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

References

Appendices
A: Critical Values for Student's t Distribution
B: Critical Values of r for Pearson Product Moment Correlation Coefficient
C: Critical Values of F for α = 0.05 and α = 0.01
D: Critical Values of the χ2 Distribution

Detalles del producto

Sobre los autores

SG

Susan K. Grove

Afiliaciones y experiencia
Professor Emeritus, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas; Adult Nurse Practitioner, Grand Prairie, Texas, USA

DC

Daisha J. Cipher

Afiliaciones y experiencia
Professor, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA