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Statistics for Nursing Research,

Edition 4 A Workbook for Evidence-Based Practice

Editors: By Susan K. Grove, PhD, RN, ANP-BC, GNP-BC and Daisha J. Cipher, PhD

Publication Date: 01 Apr 2024

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Get the review and practice you need to critically appraise the statistical methods used in published research! Statistics for Nursing Research, 4th Edition helps you understand and interpret statistical methods, sampling and measurement techniques, and statistical analysis techniques. This unique and practical workbook is divided into two parts to differentiate between basic and advanced statistical methods, with dozens of hands-on exercises that will help you practice working with the statistical methods needed for building an evidence-based practice. This workbook is an indispensable resource for any nursing student or practicing nurse wishing to gain competency in conducting statistical analyses.

Key Features

Comprehensive coverage of basic statistical methods includes extensive practice with the most common techniques of sampling, measurement, and statistical analysis seen in nursing and health sciences literature
Literature-based approach uses key excerpts from published studies to reinforce learning through practical application
38 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced statistical techniques
Study Questions in each chapter help you examine a statistical technique and apply concepts to an actual literature appraisal
Online submission of answers for Questions for Further Application allows you to complete exercises in a web-based format and then submit completed exercises to your instructor via email for grading
Consistent format for all chapters enhances learning and enables quick review

New Features

NEW! More than half of the research articles in Part 1 are new, ensuring that exercises are based on the most current, clinically applicable published studies
NEW! Enhanced interactive online functionality of the Questions for Further Application for each chapter allows you to save your work and complete the exercises at a later time before submitting work to your instructor for grading
NEW! Enhanced emphasis on diversity and inclusion features representation of diverse authors and research foci in selected published articles.
NEW! Two new exercises are added to this edition: a unique Handling Missing Data exercise and a Calculating the Mann-Whitney U Test exercise
NEW! VST eBook version of this title is a fully interactive eBook for the first time
NEW! Supplemental video tutorials by Dr. Cipher on the Evolve website provide valuable reinforcement that is especially helpful for visual and auditory learners

About the author

By Susan K. Grove, PhD, RN, ANP-BC, GNP-BC, Professor Emeritus, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas; Adult Nurse Practitioner, Grand Prairie, Texas, USA and Daisha J. Cipher, PhD, 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. Handling Missing Data NEW!
29. Calculating Pearson Product-Moment Correlation Coefficient
30. Calculating Simple Linear Regression
31. Calculating Multiple Linear Regression
32. Calculating t-tests for Independent Samples
33. Calculating t-tests for Paired (Dependent) Samples
34. Calculating the Mann-Whitney U Test NEW!
35. Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA
36. Calculating Sensitivity and Specificity
37. Calculating Pearson Chi-Square
38. 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 a = 0.05 and a = 0.01
D: Critical Values of the ¿2 Distribution

ISBN: 9780323930505

Page Count: 528

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Answer Guidelines for Questions

Questions for Further Applicatio Research Article Library