Statistics for Nursing Research (4th Ed.) A Workbook for Evidence-Based Practice
Langue : Anglais
Auteurs : Grove Susan K., Cipher Daisha J.
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 includesextensive 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 Questionsin 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! 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.
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
Appendix A: Critical Values for Student's t Distribution
Appendix B: Critical Values of r for Pearson Product Moment Correlation Coefficient
Appendix C: Critical Values of F for a = 0.05 and a = 0.01
Appendix D: Critical Values of the ?2 Distribution
Index
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
Appendix A: Critical Values for Student's t Distribution
Appendix B: Critical Values of r for Pearson Product Moment Correlation Coefficient
Appendix C: Critical Values of F for a = 0.05 and a = 0.01
Appendix D: Critical Values of the ?2 Distribution
Index
Date de parution : 04-2024
Ouvrage de 528 p.
Thèmes de Statistics for Nursing Research :
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