Statistics for Nursing Research
A Workbook for Evidence-Based Practice
- 4th Edition - January 20, 2024
- Latest edition
- Authors: Susan K. Grove, Daisha J. Cipher
- Language: English
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 understan… Read more
Purchase options
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.
- 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
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 α = 0.05 and α = 0.01
D: Critical Values of the χ2 Distribution
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 α = 0.05 and α = 0.01
D: Critical Values of the χ2 Distribution
- Edition: 4
- Latest edition
- Published: January 20, 2024
- Language: English
SG
Susan K. Grove
Affiliations and expertise
Professor Emeritus, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas; Adult Nurse Practitioner, Grand Prairie, Texas, USADC
Daisha J. Cipher
Affiliations and expertise
Professor, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA